阅读说明：本技术 衣物处理装置及包括其的在线系统 (Clothes treatment device and online system comprising same ) 是由 徐旼秀 李贤植 张邰圭 于 2020-01-29 设计创作，主要内容包括：本发明涉及一种在使用人工智能或由人工智能所提供的算法的情况下,能够使用户视觉地识别该情况的衣物处理装置及包括其的在线系统。(The present invention relates to a laundry treating apparatus and an online system including the same, which enables a user to visually recognize a situation in case of using artificial intelligence or an algorithm provided by the artificial intelligence.)

1. A laundry treating apparatus, which performs: any process for providing a method for performing one or more of a washing cycle for removing foreign substances from laundry and a drying cycle for removing moisture from laundry; and any option that provides conditions including the strength and number of the process, comprising:

a control unit capable of executing one or more of determination and execution of setting of a specific procedure or option among the arbitrary procedures or options, change of setting of the specific procedure or option, and recommendation of the specific procedure or option, using artificial intelligence or an execution algorithm provided by artificial intelligence; and

a display unit for displaying the state of the control unit to the outside,

the display unit is configured to display a state in which the control unit uses the artificial intelligence or the execution algorithm to the outside.

2. The laundry treating apparatus according to claim 1,

the display unit further includes a light emitting unit that displays a state in which the control unit uses the artificial intelligence or the execution algorithm to the outside,

and lighting the light emitting unit if the control unit uses the artificial intelligence or the execution algorithm.

3. The laundry treating apparatus according to claim 2,

the light emitting section is configured to blink during use of the artificial intelligence or the execution algorithm by the control section.

4. The laundry treating apparatus according to claim 3,

if the control unit ends the use of the artificial intelligence or the execution algorithm, the light emitting unit remains lit.

5. The laundry treating apparatus according to claim 4,

the light emitting section remains in an illuminated state even if a state (Error) occurs in which the process or the option determined using the artificial intelligence or the execution algorithm cannot be executed any more.

6. The laundry treating apparatus according to claim 2,

further comprising an input directly receiving a command for executing the procedure or the option,

the light emitting unit is turned off by an input of the input unit.

7. The laundry treating apparatus according to claim 2,

if the control unit uses the artificial intelligence or the execution algorithm, the light emitting unit remains lit regardless of whether or not the result of the artificial intelligence or the execution algorithm is reflected thereafter.

8. The laundry treating apparatus according to claim 1, further comprising:

a case forming an appearance;

an outer tub accommodated inside the cabinet and storing water;

a drum rotatably provided to the tub and for accommodating laundry;

a driving part coupled to the tub and rotating the drum; and

a water level sensor for detecting a water level of the outer tub,

the control part detects one or more of a current value applied to the driving part, the number of rotations of the drum, and the water level sensor, and determines the contents of the course or the option using the artificial intelligence or the execution algorithm.

9. The laundry treating apparatus according to claim 8,

the control part identifies a weight or material of the laundry using the artificial intelligence or the execution algorithm, and determines one or more of an RPM, a water level, a temperature, an execution time when the course or the option suitable for the weight or the material is executed.

10. The laundry treating apparatus according to claim 8,

the control part recognizes the weight or material of the laundry using the artificial intelligence or the execution algorithm, and determines a dehydration condition when the course or option is executed.

11. The laundry treating apparatus according to claim 1,

further comprising an input section that receives a command for changing a setting of the specific process or option among the arbitrary processes or options,

if the input is made through the input unit, the control unit determines the set variation amount using the artificial intelligence or the execution algorithm.

12. The laundry treating apparatus according to claim 11, further comprising:

a case forming an appearance;

an outer tub accommodated inside the cabinet and storing water;

a drum rotatably provided to the tub and for accommodating laundry;

a driving part coupled to the tub and rotating the drum; and

a water level sensor for detecting a water level of the outer tub,

the contents of the course or option include one or more of the number of times a specific program in the course or option is performed, a duration, the RPM of the driving part, and a water level variation of the outer tub,

the control section is configured to determine the set amount of change using the artificial intelligence or the execution algorithm according to one input of the input section.

13. The laundry treating apparatus according to claim 12,

the display section is configured to display the set variation amount.

14. The laundry treating apparatus according to claim 1,

further comprising a recommendation requesting part arranged to receive an input to obtain a recommendation of any one of the arbitrary processes or the arbitrary options,

the control section is configured to, if input through the recommendation request section, calculate and determine a procedure or an option to be recommended among the arbitrary procedures or the arbitrary options using the artificial intelligence or the execution algorithm,

the display section displays the procedure or option determined to be recommended by the control section.

15. The laundry treating apparatus according to claim 14,

further comprising a communication module capable of receiving regional information or arbitrary user information provided by the server,

the control part is configured to output the procedure or option to be recommended by reflecting the region information or the user information to the artificial intelligence or the execution algorithm if the region information or the user information provided by the server is received through the communication module.

16. The laundry treating apparatus according to claim 15,

the region information includes any one or more of the following information:

weather information providing weather information including whether the laundry processing apparatus is rainfall or not and a precipitation probability in an area where the laundry processing apparatus is located;

the atmosphere information provides the temperature, the humidity and the atmospheric pollution state of the region;

seismic information providing whether an earthquake occurs in the area;

water quality information providing water quality of the region; and

electricity rate information for each time segment of the region.

17. The laundry treating apparatus according to claim 16,

the control part adjusts and recommends at least any one of washing intensity, rinsing frequency, dehydration intensity, device cleaning, operation time, water temperature and steam supply in the options to be recommended based on the region information.

Technical Field

The present invention relates to a laundry treating apparatus capable of providing a customized service to a user using artificial intelligence and an online system (online system) including the same.

Background

In general, a laundry treating apparatus refers to an apparatus capable of performing washing and drying of laundry, etc., or performing washing or drying. Here, the laundry treating apparatus may perform only the washing function or the drying function, or may perform the washing or drying at the same time. In recent years, washing machines having a steam supply device and having a care (refresh) function of removing wrinkles, odor, static electricity, and the like from clothes and the like have been widely used.

On the other hand, conventional laundry treating apparatuses are classified into a front load (front load) type or a top load (top load) type according to the direction in which laundry is taken out. A typical example of such a horizontal type is a drum washing machine or a drum dryer.

A so-called front load type laundry treating apparatus is a laundry treating apparatus in which an opening is disposed in front and a rotation shaft of a drum is parallel to or has a predetermined inclination with respect to the ground, and a top load type laundry treating apparatus is a laundry treating apparatus in which an opening is disposed in an upper portion and a rotation shaft of a drum is disposed perpendicular to the ground.

In such a laundry treating apparatus, any course and option for performing a washing process of foreign substances removed from laundry or a drying process of removing moisture from laundry are stored in a control part or the like in advance. When performing washing or drying, the user selects course and option provided by the laundry treating apparatus.

The course constitutes a complete cycle of performing all courses including a washing course for removing foreign substances from the laundry, a rinsing course for separating foreign substances and detergent from the laundry, and a dehydrating course for removing moisture from the laundry, and an option may mean that the rotation speed (rpm) of the drum, the water temperature, the water level, the intensity and degree of steam supply, etc., and the number of times of the washing course, rinsing course, dehydrating course, etc., can be adjusted while performing the courses.

The user can grasp the type or content of the course or option, thereby performing the course or option suitable for the held laundry. However, the user may be less familiar with the type or content of the process or option. In addition, in the case where the types of the procedures or options are large, the difference between the procedures or options may not be clearly distinguished. In addition, when the state of the laundry being treated in the laundry treating apparatus is not satisfied, it may not be known how to change the course or option setting. Furthermore, when any one of the settings of the process or option is changed, it may not be known how to change the other settings appropriately. As a result, the user may not be able to apply the functions or effects provided by the laundry treating apparatus because the user does not know how to properly set or use the course or option.

In order to improve this problem, a washing machine using artificial intelligence has recently appeared (refer to korean laid-open patent publication No. 10-2018-0119486). The artificial intelligence may be provided through big data collected by a manufacturer manufacturing the laundry treating apparatus, and the laundry treating apparatus may recommend a customized course or option to a user from an arbitrary course or option using an algorithm provided by the artificial intelligence. Specifically, the laundry treating apparatus may determine the course or option, change the setting of the course or option, or recommend the course or option through artificial intelligence. Thereby, the user can use the most suitable course or option available of the laundry treating apparatus.

However, the existing laundry treating apparatus using artificial intelligence may not always use the artificial intelligence. For example, artificial intelligence may not be needed when setting a reservation time, and may be needed when recommending a reservation time. Furthermore, artificial intelligence may not be required when entering a procedure or option, and may be required when adjusting a procedure or option.

In addition, in the case where the washing machine and the server are connected to each other in a communication manner to use the artificial intelligence, there is a case where the function of the laundry treatment apparatus needs to be provided without using the artificial intelligence when the communication is interrupted.

As a result, the user may not recognize whether the artificial intelligence is utilized while the laundry treating apparatus is operating. Therefore, even if the laundry treating apparatus uses artificial intelligence, the user may misunderstand that artificial intelligence is not used. In addition, even if artificial intelligence is not used, the user may misunderstand that artificial intelligence is used, thereby erroneously considering that artificial intelligence is not effective. In any case, the conventional laundry treating apparatus cannot inform a user whether or not artificial intelligence is used, thereby having a problem of reducing reliability of a product.

On the other hand, even if the laundry treating apparatus provides the customized service using the artificial intelligence, the user may want to perform a function that does not reflect the artificial intelligence. For example, the user may input a desired procedure or option, or may directly input the setting of the procedure or option. In this case, there is a problem that the user cannot trust whether the laundry treatment apparatus is operated according to his own input without intervention of human intelligence.

Disclosure of Invention

Problems to be solved by the invention

The present invention has been made to solve the above-mentioned problems, and an object of the present invention is to provide a laundry treating apparatus and an online system including the same, which enable a user to intuitively recognize whether or not an artificial intelligence is being used.

An object of the present invention is to provide a laundry processing apparatus and an online system including the same, which can notify a user of artificial intelligence.

An object of the present invention is to provide a laundry processing apparatus and an online system including the same, which can visually indicate which process or option among arbitrary processes or options is an artificial intelligence.

The invention provides a clothes treatment device with a control panel capable of displaying whether artificial intelligence is used or not.

The present invention has been made to solve the above-mentioned problems, and an object of the present invention is to provide a clothes treating apparatus that determines the setting of a course or an option, recommends a course or an option, or changes the setting of a course or an option by artificial intelligence.

An object of the present invention is to provide a clothes treating apparatus capable of notifying a user of the fact that artificial intelligence is not used when the user provides an input avoiding intervention of artificial intelligence.

Technical scheme for solving problems

In order to solve the above-mentioned problem, the present invention provides a laundry treatment apparatus that performs: any process of providing a method for performing one or more of a washing cycle for removing foreign substances from laundry and a drying cycle for removing moisture from laundry; and any options that provide conditions including the strength and number of the procedures.

The laundry treating apparatus may include: a control unit that can execute one or more of setting and execution of a specific process or option among the arbitrary processes or options, change of setting of the specific process or option, and recommendation of the specific process or option, using artificial intelligence or an execution algorithm provided by artificial intelligence; and a display unit that displays the state of the control unit to the outside.

The display unit may be configured to display a state in which the control unit uses the artificial intelligence or the execution algorithm to the outside.

The display unit may further include a light emitting unit for displaying to the outside a state where the control unit uses the artificial intelligence or the execution algorithm, and the light emitting unit may be lit if the control unit uses the artificial intelligence or the execution algorithm.

The light emitting section may be configured to blink during use of the artificial intelligence or the execution algorithm by the control section.

The light emitting section may be kept in an illuminated state if the control section ends the use of the artificial intelligence or the execution algorithm.

The light emitting section can maintain the lighting state even if a state (Error) occurs in which the process or the option determined using the artificial intelligence or the execution algorithm cannot be executed any more.

An input part may be further included that directly receives a command for executing the procedure or the option, and the light emitting part may be configured to be turned off based on an input of the input part. If the control unit uses the artificial intelligence or the execution algorithm, the lighting state of the light emitting unit can be maintained regardless of whether or not the result of the artificial intelligence or the execution algorithm is reflected thereafter.

The laundry treating apparatus of the present invention may further include: a case forming an external appearance; an outer tub accommodated inside the cabinet and storing water; a drum rotatably provided to the tub and for accommodating laundry; a driving part coupled to the tub and rotating the drum; and a water level sensor for detecting a water level of the outer tub.

The control part may detect one or more of a current value applied to the driving part, the number of rotations of the drum, and the water level sensor, and determine the contents of the process or option using the artificial intelligence or the execution algorithm.

The control part may recognize the weight or material of the laundry using the artificial intelligence or the execution algorithm, and determine one or more of RPM, water level, temperature, and execution time when the course or option suitable for the weight or material is executed.

The control part may recognize the weight or material of the laundry using the artificial intelligence or the execution algorithm, and determine the dehydration condition when the course or option is executed.

An input part may be further included that receives a command for changing a setting of the specific process or option among the arbitrary processes or options, and the control part may determine the amount of change in the setting using the artificial intelligence or the execution algorithm if the command is input through the input part.

The control section may be configured to determine the amount of change of the setting using the artificial intelligence or the execution algorithm in accordance with a single input provided through the input section.

The display portion may be configured to display the set amount of change.

The display device may further include a recommendation requesting part configured to receive an input to obtain a recommendation of any one of the arbitrary process and the arbitrary option, the control part may be configured to, if the input is made through the recommendation requesting part, calculate and determine a process or option to be recommended of the arbitrary process and the arbitrary option using the artificial intelligence or the execution algorithm, and the display part may display the process or option determined to be recommended by the control part.

Further comprising a communication module capable of receiving region information or arbitrary user information provided by a server, the control part may be configured to output the procedure or option to be recommended by reflecting the region information or the user information into the artificial intelligence or the execution algorithm if the region information or the user information provided by the server is received through the communication module.

The region information may include any one or more of the following information: weather information providing weather information including weather information of whether or not the area where the laundry treating apparatus is located is rainfall and a precipitation probability; atmospheric information providing temperature, humidity, and atmospheric pollution state of the region; seismic information providing whether an earthquake occurred or not in the area; water quality information providing water quality of the region; and

electricity rate information for each time segment of the region.

A laundry processing apparatus, wherein the control part adjusts and recommends at least any one of washing intensity, rinsing frequency, dehydration intensity, apparatus cleaning, operation time, water temperature and steam supply in the options to be recommended based on the region information.

Effects of the invention

The invention has the effect of enabling the user to intuitively identify whether the artificial intelligence is used or not.

The present invention has an effect of being able to notify a user of the situation when artificial intelligence is utilized.

The present invention has an effect of being able to visually present which of arbitrary processes or options utilizes artificial intelligence.

The invention provides a clothes processing device with a control panel capable of displaying whether artificial intelligence is used or not.

The invention has the effect of determining the setting of the process or the option, or recommending the process or the option, or changing the setting of the process or the option through artificial intelligence.

The present invention has an effect of being able to notify the user of the fact that artificial intelligence is not utilized in the case where the user input avoids the intervention of artificial intelligence.

Drawings

Fig. 1 shows a type of a laundry treating apparatus of the present invention.

Fig. 2 shows an internal structure of a laundry treating apparatus of the present invention.

Fig. 3 shows an online system including the laundry treating apparatus of the present invention.

Fig. 4 shows a control panel for controlling the laundry treating apparatus of the present invention.

Fig. 5 shows a block diagram of a laundry treating apparatus of the present invention.

FIG. 6 illustrates the artificial intelligence or machine learning architecture of the online system of the present invention.

Fig. 7 shows a specific structure in which the laundry treating apparatus of the present invention can perform artificial intelligence.

Fig. 8 shows a structure of a laundry treating apparatus of the present invention enabling a user to recognize whether or not the artificial intelligence is being used by impact.

Fig. 9 shows an embodiment of a control method of a laundry treating apparatus of the present invention.

Fig. 10 illustrates an embodiment in which the laundry treating apparatus of the present invention recognizes the state of laundry using artificial intelligence.

Fig. 11 illustrates an embodiment in which the laundry treating apparatus of the present invention recognizes the material or weight of laundry through artificial intelligence.

Fig. 12 shows an embodiment of the laundry treating apparatus of the present invention determining a process or option by artificial intelligence.

Fig. 13 illustrates an embodiment in which the laundry treating apparatus of the present invention determines the dehydration condition through artificial intelligence.

Fig. 14 shows an embodiment in which the laundry treating apparatus of the present invention changes the setting of the course or option by artificial intelligence.

Fig. 15 shows an embodiment in which the laundry treating apparatus of the present invention implements the change of the setting of the course or option on the display part by artificial intelligence.

Fig. 17 illustrates an embodiment in which the laundry treating apparatus of the present invention can recommend the most suitable course or option by artificial intelligence.

Detailed Description

Hereinafter, embodiments disclosed in the present specification will be described in detail with reference to the accompanying drawings. In this specification, the same or similar reference numerals are given to the same or similar constituents even in different embodiments, and the description thereof is replaced with the first description. As used in this specification, the singular forms "a", "an", and "the" include plural referents unless the context clearly dictates otherwise. In addition, in describing the embodiments disclosed in the present specification, if it is determined that a detailed description of the related well-known art may obscure the gist of the embodiments disclosed in the present specification, a detailed description thereof will be omitted. In addition, it is to be noted that the drawings are only for facilitating understanding of the embodiments disclosed in the present invention and should not be construed as limiting the technical ideas disclosed in the present specification to the drawings.

Hereinafter, embodiments disclosed in the present specification will be described in detail with reference to the accompanying drawings. In this specification, the same or similar reference numerals are given to the same or similar constituents even in different embodiments, and the description thereof is replaced with the first description. As used in this specification, the singular forms "a", "an", and "the" include plural referents unless the context clearly dictates otherwise. In addition, in describing the embodiments disclosed in the present specification, if it is determined that a detailed description of the related well-known art may obscure the gist of the embodiments disclosed in the present specification, a detailed description thereof will be omitted. In addition, it is to be noted that the drawings are only for facilitating understanding of the embodiments disclosed in the present invention and should not be construed as limiting the technical ideas disclosed in the present specification to the drawings.

The laundry treating apparatus generally provides various processes and options to fit the convenience of the user. The course may be a concept including a washing course used in all washing machines and a drying course used in a dryer.

Hereinafter, although the course is explained based on the washing course applied to the washing machine, this is for explanation only, and the course should be understood to also include the concept of the drying course used in the dryer.

The course is a series of driving including a washing process for removing foreign substances from the laundry by the laundry treatment apparatus, a rinsing process for separating the foreign substances and detergent from the laundry, and a dehydrating process for removing moisture from the laundry, and may be a set algorithm or a control method for performing washing of the laundry from the beginning to the end. At this time, the process may further include a drying process.

Fig. 1 illustrates various embodiments of a laundry treating apparatus of the present invention.

The laundry treating apparatus 1 of the present invention may include: a cabinet 21 having an opening for putting clothes therein and forming an external appearance; and a door 22 for opening and closing the opening.

Referring to fig. 1(a), the laundry treating apparatus 1 of the present invention may be configured as a top loading type laundry treating apparatus in which the opening and the door 22 are provided at an upper portion of the cabinet 21.

Referring to fig. 1(b), the laundry treating apparatus according to the present invention may be a front load type laundry treating apparatus in which the opening and the door 22 are provided in front of the cabinet 21.

In addition, referring to fig. 1(c) or 1(d), the laundry treating apparatus 1 of the present invention may be stacked by a front loading type laundry treating apparatus and a top loading type laundry treating apparatus capable of performing washing and drying of laundry. For example, in the laundry treatment apparatus 1 of the present invention, the top loading type laundry treatment apparatus may be provided at an upper portion of the front loading type laundry treatment apparatus (see fig. 1(c)), and the top loading type laundry treatment apparatus may be provided at a lower portion of the front loading type laundry treatment apparatus (see fig. 1 (d)).

As described above, in the case where the laundry treating apparatus 1 of the present invention is stacked by a plurality of treating apparatuses, the treating apparatuses may share one cabinet 21, and the cabinet 21 may have a plurality of openings. In this case, doors 22 and 22a for opening and closing the plurality of openings may be provided.

In addition, the laundry treating apparatus of the present invention may further include a control panel 100 for receiving, displaying or executing a series of operation commands. The operation command may be any course or option set to perform a washing process for removing foreign substances from the laundry or a drying process for removing moisture from the laundry.

The control panel 100 may be provided with a control part 110 for controlling all the components of the laundry treating apparatus to perform the arbitrary course or option.

Any course or option providing a series of control methods capable of performing at least any one of a washing course (washing cycle) for removing foreign substances from laundry and a drying course (drying cycle) for drying laundry containing moisture may be stored in the control part 110 in advance.

In the case where the laundry treating apparatus 1 is a washing machine, the arbitrary course may be constituted by a combination of at least one or more steps of a washing step of removing foreign substances from laundry, a rinsing step of separating foreign substances or detergent from the laundry, and a dehydrating step of removing moisture from the laundry. In addition, in the case where the laundry treating apparatus 1 is provided as a dryer, the arbitrary option may include a plurality of drying steps for removing moisture from the laundry.

On the other hand, when the process is executed, the arbitrary options may include a series of control methods that change additional conditions of the process. In the case where the laundry treating apparatus 1 is provided as a washing machine, the arbitrary option may be a series of control methods for adjusting at least any one or more of the washing step, the rinsing step, the number of times of performing the dehydrating step, the rotation speed of the drum when each step is performed, the ratio of the rotation time of the drum (actual operation rate) within a predetermined period of time, the opening time of the water supply valve or the amount of water (water level), the amount of electricity used, the temperature of water, whether steam is supplied, etc., the duration of each step.

In the case where the laundry treating apparatus 1 is provided as a dryer, the arbitrary option may be a series of control methods for adjusting at least any one or more of the number of drying steps, the drum rotation speed at the time of performing the drying steps, the ratio of drum rotation time within a predetermined period of time (actual operation rate), the amount of electricity used, whether steam is supplied, and the like, the duration of the drying steps.

On the other hand, the control panel 100 may include: a display part 130 for displaying a state of the laundry treating apparatus 1; a power supply part 120 for inputting power to the laundry treating apparatus; and the input part 150 for receiving a command for driving the laundry treating apparatus.

On the other hand, the display unit 130 and the input unit 150 may be separately provided on the control panel 100, the display unit 130 may be provided as a liquid crystal display, and the input unit 150 may be provided as separate buttons (see fig. 1(a), 1(c), and 1 (d)). In addition, the control panel 100 may be provided as a touch display such that the functions of the display part 130 and the input part 150 can be simultaneously implemented on one screen (refer to fig. 1 (b)).

In addition, the laundry treating apparatus 1 of the present invention may further include: a microphone 300 for causing the laundry treating apparatus to recognize a user's voice; and a camera 200 for recognizing a motion of a user by the laundry treating apparatus.

The process or option may be performed by recognizing the user's motion by means of the camera 220, and the process or option may be performed by recognizing the user's voice by means of the microphone 300.

In addition, it is possible to recognize the entry of a child or the like into the inside of the case 21 by means of the microphone 300 and the camera 200, thereby informing a user or releasing the locking of the door 22, thereby preventing a safety accident.

In addition, the laundry treating apparatus 1 of the present invention may further include a speaker. Thereby, the user can recognize the state of the laundry treating apparatus 1 through a sound signal.

Fig. 2 shows an internal structure of an embodiment of the laundry treating apparatus 1 of the present invention.

Specifically, fig. 2 shows a detailed configuration of the laundry treating apparatus of fig. 1 (d).

This is for illustrative purposes only, and when the laundry treating apparatus of the present invention is configured as a front loading type laundry treating apparatus, a top loading type laundry treating apparatus, or a stacked structure of the front loading type and the top loading type laundry treating apparatuses, only a part of the basic structure disclosed in fig. 2 may be adopted, or may correspond to a case where only the installation position is changed.

That is, only the structure of fig. 1(d) is taken as an example in fig. 2 to avoid duplicate explanation, and may be provided in any structure as long as the function of the laundry treating apparatus of the present invention can be performed.

Referring to fig. 2, the laundry treating apparatus 1 of the present invention may include: a case 21 forming an external appearance; and a laundry accommodating part provided inside the cabinet and accommodating laundry.

In the case where the laundry treating apparatus is provided as a washing machine, the laundry receiving part may include: an outer tub 23 disposed inside the cabinet 21 and storing water; and a drum 24 rotatably provided to the tub 23.

In addition, the laundry treating apparatus 1 of the present invention may include: a driving part 25 coupled to the tub 23 and configured to rotate the drum 24; a water supply part 26 for supplying water to the outer tub 23; and a drain part 27 for draining the water in the outer tub 23.

On the other hand, in the case where the laundry treating apparatus 1 is provided as a dryer, the laundry receiving part may include only the drum 24 rotatably provided inside the cabinet 21.

In addition, the laundry treating apparatus 1 of the present invention may further include a hot air supply unit or heater 29 for supplying hot air to the outer tub 23, and may further include a door 22 for opening and closing the input port of the outer tub 23 and the opening of the cabinet 21.

The water supply part 26 may include a water supply valve 262 and a water supply pipe 261, and the drain part 27 may include a drain pump 271 and a drain pipe 272.

The driving part 25 may include: a stator 251 coupled to the outer tub 23 and generating a rotating magnetic field; a rotor 252 that rotates by the rotating magnetic field; and a rotating shaft 253 that rotates together with the rotor 252 to rotate the drum 24.

The outer tub 23 may be supported to the cabinet 21 by a support 28, and the support 28 dampens vibration of the outer tub 23. The support portion 28 may include a damper 282 and a spring 281, and the damper 282 and the spring 281 connect the cabinet 21 with the tub 23 so as to be able to damp vibration.

On the other hand, in the case where the laundry treating apparatus 1 of the present invention is provided as a multiple laundry treating apparatus, it may include: a second tub 23a provided at a lower or upper portion of the tub 23 and for storing water; a second drum 24a rotatably provided inside the second tub 23; a second driving part 25a coupled to the second tub and rotating the second drum 24 a; a second water supply part 26a for supplying water to the second outer tub 23 a; and a second drain part 27a for draining the water in the second tub 23 a.

In the case where the second outer tub 23a is provided at a lower portion of the outer tub 23 and is provided in a top loading type, the second outer tub 23a may be provided to be accommodated in a drawer 21b, and the drawer 21b may be provided in a manner capable of being drawn out/pushed in from the cabinet 21.

The second water supply part 26a may include a second water supply valve 262a and a second water supply pipe 261a, and the second drain part 27a may include a second drain pump 271a and a second drain pipe 272 a.

The second driving part 25a may include: a second stator 251a coupled to the second outer tub 23a and generating a rotating magnetic field; a second rotor 252a that rotates by the rotating magnetic field; and a second rotation shaft 253a that rotates together with the second rotor 252a to rotate the second drum 24 a.

The second outer tub 23a may be supported to the cabinet 21 by a second support portion 28a, and the second support portion 28a damps vibration of the second outer tub 23 a.

The control unit 110 of the control panel 100 may be configured to control all of the second water supply unit 26a, the second water discharge unit 27a, and the second driving unit 25 a.

That is, the control part 110 may be provided as an integrated control part to integrally control the laundry treatment apparatus including the outer tub 23 and the laundry treatment apparatus disposed at an upper or lower portion of the outer tub 23.

For example, the driving parts 25 and 25a, the water supply parts 26 and 26a, the water discharge parts 27 and 27a, and the hot wind supply part 29 may be repeatedly driven and stopped according to at least any one of processes and options set by the control panel 100 or the control part 110 of the laundry treating apparatus.

For example, the water supply valves 261 and 261a may be opened according to the inputted process and option, the driving units 25 and 25a may be rotated, and the drain pumps 271 and 271a may be operated. However, the control panel 100 may further include an auxiliary panel 100a separately provided to the drawer 21b and used to independently control the second water supply part 26a, the second water discharge part 27a, and the second driving part 25 a.

The auxiliary panel 100a may include an additional control part provided independently from the control part 110 to independently control an additional laundry treating apparatus provided at an upper or lower portion of the outer tub 23.

On the other hand, the laundry treatment apparatus 1 according to the present invention may further include a communication module 60, and the communication module 60 may communicate with at least one of the server 10 and the external terminal 40, which will be described later.

In the case that the laundry treating apparatus 1 of the present invention is provided as a complex laundry treating apparatus, the control panel 100 may be provided to be divided into a control panel for controlling the upper laundry treating apparatus and a second control panel for controlling the lower laundry treating apparatus, respectively. In addition, the laundry treating apparatus 1 of the present invention may also be configured to control the entire complex laundry treating apparatus using one control panel 100.

Fig. 3 shows an online system capable of controlling the laundry treating device 1 of the present invention.

An example is shown in which a wireless internet communication module is applied in the laundry treating apparatus 1, thereby communicating with the server 10 via the internet through an Access Point (AP) 30.

The laundry treating apparatus 1 is remotely controlled through the server 10 or the external terminal 40, or finally communicates with the server 10 to update additional information, and for this reason, the laundry treating apparatus 1 first needs to communicate with the AP 30 in the home. Therefore, the laundry treating apparatus 1 may further include a communication module 60 capable of directly communicating with the AP. For example, the communication module 60 may be a wireless local area network (wi-fi) communication module.

In order to implement the communication connection of the laundry treating apparatus, the communication module 60 may be configured to support a setting mode for performing the communication connection and a use mode capable of performing the communication.

The setting mode is a mode for enabling communication with the AP. Therefore, it may also be referred to as an AP mode. The usage mode is a state in which the laundry treatment apparatus can communicate with the server through the AP, and transmits and receives information to execute a remote management service as needed. That is, it may be referred to as a standby state for performing a remote service. Thus, the use mode may also be referred to as a connected mode or a standby mode.

In other words, in order to connect the communication module 60 in communication, it is necessary to perform an initial setting mode, and if communication connection is realized in the setting mode, switching to the use mode is always possible thereafter.

In order to realize the operation of the setting mode, an input unit may be provided in the communication module 60. However, in many cases, the communication module 60 may be built in the laundry treating apparatus 1 or be provided and mounted to the laundry treating apparatus 1 in a simple form. Therefore, the input part 150 of the laundry treating apparatus 1 may function as the input unit.

If the communication module 60 is communicatively connected to the server 10 through the AP 30, the communication module 60 may always maintain a power applied state to continuously communicate with the server 10.

On the other hand, considering a communication path from the laundry treating apparatus 1 as a starting point to the server 10, the AP may thereafter correspond to a public internet and the AP may previously correspond to a private internet. The laundry treating apparatus 1 is assigned a private IP from the AP 30, and the AP 30 itself has a unique IP.

The server 10 also has an IP, which may be the only IP. Therefore, in the communication module 60 of the laundry treating apparatus, for example, a wireless local area network (wi-fi) module, it is preferable that the unique IP of the server is stored in advance. Thus, the communication module 60 of the laundry treating apparatus may be connected to the IP of the server through an activation program based on an external terminal or the like, thereby achieving communication between the two.

In this process, the AP 30 may transmit the port information to which the laundry treatment apparatus is connected and its own unique IP information to the server 10, and the server 10 may grasp the location of the laundry treatment apparatus based on the information. On the other hand, if the laundry treating apparatus 1 transmits unique device ID information to the server together, the server can recognize any laundry treating apparatus and its location, and can access (access) the laundry treating apparatus using the information. At this time, if the user account and the password are input, these information may also be transmitted to the server 10 together.

Therefore, the server 10 may match a specific laundry treating apparatus 1 of a specific user with its location. Therefore, when a specific service is requested to the server through the laundry treating apparatus 1 or the external terminal 40 of the user, the server 10 may determine the specific laundry treating apparatus 1 and perform the specific service.

On the other hand, the server 10 may be communicatively connected to the external terminal 40 through a unique IP and network, and the external terminal 40 may be installed with a long-distance communication module and an application program (APP) for selectively communicatively connecting to the server 10.

The external terminal 40 may be connected with the server 10 through the long-distance communication module using the application program to remotely control the laundry treating apparatus 1. The user may receive the state information of the laundry treating apparatus 1 from the server 10 by setting a display panel such as a touch panel at the external terminal 40 and transmit an operation command of the laundry treating apparatus 1 to the server 10.

Fig. 4 shows an embodiment of a control panel 100 provided in the laundry treating apparatus 1 of the present invention.

Referring to fig. 4, the display part 130 may be provided as a display panel only, and the input part 150 may be provided as a physical button capable of being input alone.

The input part 150 may include: a course input part 140 configured to receive an input for selecting a course, which is any one of a series of washing courses for performing a washing course including a washing course, a rinsing course, and a dehydrating course of the laundry treating apparatus 1; and an option selecting part 160 configured to receive an input for selecting an option, which is any one of arbitrary options for adjusting the intensity and degree of the process.

For example, in case the laundry treating apparatus 1 is provided as a washing machine, the process may include: a first process provided as a washing method or a set of the washing methods for removing foreign substances from general laundry; a second process configured to perform a washing method or a set of the washing methods for sterilization of the laundry; and a third process provided as a washing method or a set of the washing methods for removing foreign matter in consideration of a material of the laundry.

Additionally, the options may include: a first option for adjusting a wash intensity during the selected course; a second option for adjusting the number of rinses; a third option for adjusting the dewatering intensity; and a fourth option for determining a temperature of water in an outer tub containing laundry and water. Adjusting the washing intensity and the dehydrating intensity may mean adjusting an rpm of the drum, a rotation direction variation cycle of the drum, and the like in the washing process and the dehydrating process.

The first process is a process for classifying a general process of washing the laundry and thus may be named as a daily process, the second process is a process for classifying a process related to sterilization and thus may be named as a sanitary process, and the third process is a process for classifying a process considering material, weight, etc. of the laundry and thus may be named as a custom process.

The course selection part 140 may be configured to sequentially select courses that have been set or displayed if repeated inputs thereto are made.

The process selecting part 140 may include: a first process selecting section 141 configured to select any one of the first processes; a second process selecting section 142 configured to select any one of the second processes; and a third process selecting section 143 configured to select any one of the third processes.

Like the course selection part 140, the option selection part 160 may be configured to sequentially select the courses that have been set or displayed by repeating an input. In addition, the option selecting part 160 may include: a first option selecting part 161 for adjusting the washing intensity in the selected course; a second option selection part 162 for adjusting the number of rinsing; a third option selecting part 163 for adjusting the dehydration strength; a fourth option selector 164 for determining a temperature of water in an outer tub containing laundry and water. The option selection part 160 may be arranged to input each option selection part in turn to select a desired option.

The display unit 130 may be a liquid crystal display (display), a lamp for emitting light, a speaker for transmitting sound, or the like. The display part 130 may include: a first display part 131 for displaying the process selected on the process input part 140; and a second display part 132 for displaying the option selected on the option selection part 160.

The first display part 131 may be configured to display the selected course. For example, a portion corresponding to the selected process may be lit, or a name of the process may be presented on a display section.

The second display portion 132 may be configured to display the selected option. For example, a portion corresponding to the selected option may be lit, or a name of the option may be presented on a display portion.

Specifically, the first display part 131 may be configured to light a corresponding course when the course adjustment part 140 receives an input, or may be configured to display a corresponding course or a propagation sound on a liquid crystal display when the course adjustment part 140 receives an input. The first display portion 131 may be provided as a display panel, or may be provided as a lamp that emits light near characters in which the process contents are described.

If the user clicks on the routine 141, the routine may be sequentially lit up for the user to identify the corresponding process.

In addition, if the user clicks the hygiene process, the processes corresponding to the hygiene process may be sequentially lighted, and if the customization process is clicked, the processes corresponding to the customization process may be sequentially lighted.

The second display part 132 may be configured to light the corresponding option when the option selection part 160 receives an input, or may be configured to display the corresponding option or broadcast a sound on the liquid crystal display when the option selection part 160 receives an input. The second display portion 132 may be provided as a display panel, or may be provided as a lamp that emits light near the characters in which the contents of the options are described.

The first option, the second option, the third option, and the fourth option may be sequentially lighted by repeatedly clicking or touching the option selection unit 160. Thus, the user can select a desired option.

On the other hand, the option selecting part 160 may further include a switch or a touch area capable of performing additional functions in the laundry treating apparatus 1 other than the washing, rinsing, dehydrating, and water temperature adjusting.

The option selecting part 160 may further include: a steam adjusting part 160a for adding an option of supplying steam to the inside of the laundry treating device 20; a reservation part 160b which predetermines an operation time of the laundry treating apparatus 20; an additional setting unit 160d for adding laundry while the laundry treatment apparatus 20 is in operation by clicking the additional setting unit 160 d; a turbine part 160e for adding an option to form a strong water flow by instantaneously increasing the drum rpm of the laundry treating device 20; a turbo dryer 160f for adding an option to supply strong hot air; a wind drying section 160g to which an option for supplying normal temperature wind or cold wind other than hot wind is added; a time drying part 160h for adding an option of performing natural drying by rotating the drum only at a predetermined speed.

On the other hand, the second display portion 132 may be configured to display details of the options of the course at the moment when the course or the options are determined, and may be configured to display the status information of the laundry processing apparatus 1 except for the course of inputting the course or the options when the drying course or the washing course is being executed, or when the reservation setting is executed, or when the drying course or the washing course is finished.

In addition, the foregoing structure is only an embodiment, and the control panel 100 may be provided in any form as long as it has the input part 150 capable of receiving a command for driving the laundry treating apparatus and the display part 130 for displaying a state of the laundry treating apparatus.

On the other hand, the laundry treating apparatus of the present invention may utilize artificial intelligence. The artificial intelligence may be an execution algorithm obtained by deep learning of big data stored in the server 10.

The laundry treating apparatus may be configured to be capable of performing, changing setting of, or recommending a course or option using artificial intelligence.

For example, the laundry treating apparatus may determine the aforementioned course or option setting through artificial intelligence. As an example, if the third process is performed, the laundry treating apparatus may recognize the weight or material of the laundry using artificial intelligence, and determine a process or option suitable thereto by the artificial intelligence. In addition, if the standard process is performed in the first process, it is possible to recognize the weight and material of the laundry through artificial intelligence, and specifically set a water temperature, a water level, a dehydration strength, and the like suitable thereto.

As described above, in the laundry treating apparatus, the control part may directly use the artificial intelligence or the execution algorithm extracted by the artificial intelligence, or may receive the execution algorithm through the server 10 and execute the execution algorithm.

The display part 100 may be configured to display a state in which the control part uses the artificial intelligence or performs an algorithm to the outside.

Therefore, the user can intuitively recognize whether the artificial intelligence is being used by the clothes treatment device or not, and can intuitively recognize whether the artificial intelligence is being used currently or not. Accordingly, the user can trust the performance of the laundry treating apparatus. In addition, the user can recognize whether the artificial intelligence is actually involved or not without the intervention of the artificial intelligence, so that the user can feel at ease.

Specifically, the display unit 100 may further include a light emitting unit AI, which may display a case where the laundry treatment apparatus uses artificial intelligence. The light emitting part AI may be controlled to be lit if the laundry treating apparatus utilizes artificial intelligence or is in a state of utilizing artificial intelligence. As a result, the user can visually recognize whether or not artificial intelligence is being used.

The light emitting part AI may be set as one of icons displayed in the liquid crystal display. The light emitting unit AI may be a separate LED or the like disposed on the control panel 100. That is, the light emitting unit AI may have any configuration as long as it enables the user to visually recognize whether the artificial intelligence is used or not.

On the other hand, the light emitting unit AI may be set to be turned on when the process or the option selected by the user uses artificial intelligence, and to be turned off when the process or the option does not use artificial intelligence. Thus, the user can intuitively understand whether the process or option selected by the user utilizes artificial intelligence.

Fig. 5 illustrates a manner in which an online system including the laundry treating apparatus of the present invention acquires artificial intelligence.

The laundry treating apparatus 20 of the present invention shown in fig. 5 may be provided by a seller or a manufacturer. Accordingly, data of usage details of the laundry treating apparatus including an end of a course used by each user or an option detail of the course, among the plurality of laundry treating apparatuses 20 provided by a vendor or a manufacturer, may be collected to the server 10.

In addition, the server 10 may also collect data from external agencies 50. The data may include region information corresponding to when each user uses the respective laundry treating device 20.

The server 10 may acquire big data (big data) by collecting and accumulating data provided by the laundry treating apparatus 20 and the external organ 50 provided by a manufacturer or a seller. In addition, the server 10 may be configured to be able to perform deep learning (deep learning). The server 10 may perform machine learning (deep learning) by learning formula a using the big data, thereby analyzing a pattern (pattern) of the data.

The learning formula a may be obtained in the server 10 by machine learning of the big data. In addition, the learning formula a may be an algorithm for the machine learning provided separately in the server 10.

The learning expression a may be an algorithm for generating an execution algorithm B that can then drive the laundry processing apparatus if the usage history and the region information are input.

The learning formula a may be regarded as a Deep Neural Network (DNN), and the execution algorithm B may be an algorithm or an operation formula that derives an expected result value if large data is input in a specific state through the learning formula a.

The execution algorithm B may be an algorithm obtained by performing machine learning (deep learning) from a server for managing a plurality of laundry processing apparatuses including the laundry processing apparatus based on one or more of usage histories of the specific user and an arbitrary user and information on a region where the laundry processing apparatus is located.

The learning formula a may generate an execution algorithm B by deep learning large data, and then learn (update or develop) the execution algorithm B by continuously substituting data (data) input later into the execution algorithm B.

In addition, the learning expression a may substitute data, which has been collected from the laundry treating apparatus 20 and the external mechanism 50 in order to generate the execution algorithm B, into the learning expression a again, thereby enabling the execution algorithm B to be further developed.

Thus, over time, the learning equation a enables the execution algorithm (algorithm) B to evolve progressively more accurately and with a higher degree of completion. The execution algorithm B may be input in advance to the control unit of the laundry treatment apparatus 20. In addition, the execution algorithm B is provided in the server 10, and the laundry treating device 20 may be connected to the server 10 through the communication module 60 whenever there is a request, thereby directly receiving the execution algorithm B stored in the server 10, or may be connected to the learning formula a and the execution algorithm B, thereby indirectly receiving the result.

The execution algorithm B may be an algorithm actually used to drive the laundry treating apparatus. For example, the execution algorithm may be a program executable by a control part of the laundry treating apparatus.

The execution algorithm B may provide a way to actually execute the process or option. For example, a best performing method or setting of a particular process or option among arbitrary processes or options may be provided. The setting may be a specific algorithm for controlling all the components of the laundry treating apparatus from the start to the end of the course or option.

The execution algorithm B may be an algorithm for automatically changing the remaining settings to the optimum settings when changing some of the settings determined in advance in the procedure or the option.

In addition, the execution algorithm B may be an algorithm capable of recommending a process or option suitable for the current user from among arbitrary processes or options.

In summary, the execution algorithm B may be an artificial intelligence program that drives the laundry processing device in the most appropriate manner by machine learning big data.

The deep learning process of big data learning, reasoning, perception and understanding can be understood as artificial intelligence. That is, if the learning expression a is regarded as artificial intelligence, the execution algorithm B may be a program acquired by the artificial intelligence.

Alternatively, the learning equation a and the execution algorithm B themselves or the results thereof may be understood as artificial intelligence. For example, in the case where the execution algorithm B determines the most appropriate driving manner of the laundry treatment apparatus using information of the laundry treatment apparatus or an input of a user, the execution algorithm itself may be understood as artificial intelligence.

Hereinafter, the artificial intelligence is defined as an algorithm for generating the learning formula a or the execution algorithm B, and the execution algorithm B is defined as an algorithm obtained by the artificial intelligence. The execution of the artificial intelligence or the execution of the execution algorithm B may be displayed to the outside through the light emitting unit AI.

Fig. 6 specifically shows the generation of the execution algorithm B by the learning formula a based on the use history of the laundry treatment apparatus.

The history of the processes, options, the date of use, the week of use, the period of use, and the weather at the time of use, which are performed by the user 1 using the laundry treating apparatus 1-20 provided by the manufacturer or the seller, when using the laundry treating apparatus 1-20, is stored in the server 10 in the form of DATA.

If the user 1 uses the laundry treating device 20M times, the DATA may be M.

In addition, the history of the processes, options, the date of use, the week of use, the period of use, the weather at the time of use, performed by the user 2 using the laundry treating apparatus 2-20 provided by the manufacturer or the seller when using the laundry treating apparatus 2-20 is stored in the server 10 in the form of DATA. If the user 2 uses the laundry treating device 20M times, the DATA may be M.

In addition, the history of the course, option, date of use, day of use, period of use, weather at the time of use, which is performed by the user N using the laundry treating apparatus N-20 provided by the manufacturer or the seller when using the laundry treating apparatus N, is stored in the server 10 in the form of DATA. If the user N uses the laundry treating device 20M times, the DATA may be M.

Thus, M pieces of DATA used by N users are collected in the server 10, and a large number of DATA of N × M pieces can be collected.

The more the number of the laundry treating devices 20 is, or the more the number of times the laundry treating devices 20 are used, the more the DATA becomes bulky.

The server 10 may perform machine learning (DEEP learning) on the DATA by the learning formula a, thereby analyzing patterns and rules from the DATA. The execution algorithm B, which can determine the best execution method or best setting of a specific process or a specific option among arbitrary processes or options, or change the setting of the process or option, or recommend the specific process or option (output DATA), may be output through machine learning.

In other words, the server 10 may collect data including types of courses used by a plurality of users in the laundry treating apparatus and option details of the courses, and may generate the execution algorithm B by performing machine learning (deep learning) on the data.

The laundry treating apparatus 20 may be provided to be able to communicate with the server 10 by including a communication module 60 capable of communicating with the AP 30.

The execution algorithm B may be composed of a Weight matrix (Weight matrix) and an offset vector (bias vector).

In addition, when the specific user P uses the laundry treatment apparatus t-1 times, the history of the specific user P is also input to the execution algorithm B and learned.

Thus, in the case where the specific user P uses the laundry treating apparatus t times, the laundry treating apparatus 20 may determine the most suitable course or option for the specific user P at the current point of time through the execution algorithm B.

On the other hand, if the communication connection of the laundry treating apparatus 20 with the server 10 and the external terminal 40 is cut off, it will be fundamentally impossible to use the execution algorithm B. In addition, since it takes time for the laundry treating apparatus 20 to connect with the server 10 and the external terminal 40 and receive data, even if the user inputs a request through the recommendation requesting part 180, the recommendation of the course and option may not be obtained for a long time.

In addition, in the case where the server 10 finishes executing the acquisition of the algorithm B by executing the learning expression a, if the usage history is collected for each laundry processing device 20, an overload of the server 10 may occur.

Therefore, the laundry treating apparatus 20 needs to be configured to use the execution algorithm B by itself.

Fig. 7 is a block diagram showing a configuration of a laundry treating apparatus of the present invention.

The control part 400 of the clothes treating apparatus of the present invention may be provided on the control panel 100, or may be provided separately in the cabinet 21. As shown, the control part 400 may be provided to control all the components of the laundry treating apparatus 20 of the present invention.

The control unit 400 may be configured to control the display unit 130, the input unit 150, the operation unit 170, the microphone 200, the speaker 300, the communication module 25, the driving unit 26, the water supply valve 261, the drain pump 271, and the heater 29.

On the other hand, the control part 400 may further include: a storage part 420 in which the learning equation a, the execution algorithm B, and an Operating System (OS)0 for controlling the laundry treating apparatus are separately stored; and a calculation unit 410 that can calculate and determine a procedure and an option to be recommended by using learning expression a and execution algorithm B stored in the storage unit 420.

That is, the storage unit 420 may store at least one of the learning expression a and the execution algorithm B generated by the server 10 in advance during the production process or when initially connected to the server 10. The storage unit 420 may store only the learning expression a so that the execution algorithm B is acquired by the operation unit 410, or the operation unit 410 may store only the execution algorithm B so that the customization process and option are calculated and determined by the operation unit 410. Thus, the laundry treating apparatus 20 may be configured to immediately recommend course and option if the recommendation requesting part 180 receives an input even if it is not supported by the server 10 and the external terminal 40.

The storage unit 420 is preferably provided as a nonvolatile memory unit that can store the learning expression a, the execution algorithm B, and the Operating System (OS) O and can maintain a storage state even when power is not supplied. Further, the storage unit 420 is preferably provided to have a large capacity so that the learning expression a, the execution algorithm B, and the Operating System (OS) O can be stored in the storage unit 420.

Thus, the storage section 420 may include a first memory section 421 composed of a large-capacity nonvolatile memory section. The large capacity may be 1G or more to less than 1 TB.

On the other hand, the execution algorithm B may be configured to output the procedure and the option to be executed at the current time point only when the usage history C is input N times. In other words, the recommended expression or the usage prediction expression B is set as an algorithm capable of outputting the process and the option to be executed when the usage history of the executed process and option is input.

In this case, the execution algorithm B does not require the input of the usage history in order to analyze the pattern (pattern) of the usage history itself. The execution algorithm B is a usage prediction formula extracted by machine learning an enormous usage history of an arbitrary user using the learning formula a. Thus, the execution algorithm B may be considered as an input requiring minimal usage history in order to classify or select the appropriate procedures and options from the plurality of recommended candidate populations.

That is, it can be said that the execution of the algorithm B basically requires N times or N inputs of usage histories to output one process and option with high accuracy. Therefore, the execution algorithm B does not simply analyze the pattern itself of the usage history, and thus the N times may be about 1 to 10 times of usage history.

Therefore, the storage unit 420 may be configured to store the use history C N times or more.

On the other hand, the usage history C may be stored in the first memory unit 421, but the usage history is very small about 1 to 10 times, and thus the capacity thereof may not be large.

The storage section 420 may include a second memory section 422, which is a low-capacity nonvolatile memory, that stores only the number of usage histories input to the execution algorithm B, and removes usage histories exceeding the number. The low capacity may be a capacity of 1GB or less.

The second memory unit 422 may be configured to delete the usage history in the stored order if the usage history is stored N times or more. Thus, the second memory portion 422 may be provided in the form of a readable or rewritable electrically erasable programmable read only memory (EEFROM). On the other hand, the second memory unit 422 may initially store N usage histories in advance. The usage history stored in advance may be a procedure or an option list arbitrarily input by a manufacturer or a vendor, or may be an actual usage history of an arbitrary user in the server 10.

On the other hand, the execution algorithm B stored in the storage unit 420 may be configured to output an appropriate procedure and option by reflecting the region information and schedule provided by the server 10 when the region information and the schedule of the specific user provided by the external terminal 40 are input through the communication module 60.

The execution algorithm B may be configured to input information such as region information and scheduling in addition to the history of use of the processes and options, and to reflect the information to the recommendations of the processes and options.

For example, the region information may include any one or more of the following information: weather information providing weather information including whether or not the area in which the laundry treating apparatus 20 is located is rainfall and a precipitation probability; atmospheric information providing temperature, humidity, and atmospheric pollution state of the region; seismic information providing whether an earthquake occurred or not in the area; water quality information providing water quality of the region; and electric charge information for each time period of the region.

The arithmetic unit 410 may reflect the region information to the execution algorithm B.

In addition, the operation part 410 may be configured to temporarily operate procedures and options in the execution algorithm B, and then adjust the options that need to be recommended. For example, the arithmetic unit 410 may adjust and recommend at least one of washing intensity, rinsing frequency, dehydration intensity, device cleaning, operation time, water temperature, and steam supply.

Specifically, the calculation unit 410 is required to calculate and output the customization process and the option by inputting the use history stored in the storage unit 420 to the execution algorithm B, to acquire the execution algorithm B again by inputting the use history to the learning expression a, or to calculate by inputting the region information or the like from the communication module 60 to the execution algorithm B.

If the operation unit 410 performs machine learning using the learning formula a based on the usage history collected from the laundry treatment apparatus 10 to thereby newly acquire the execution algorithm B, the execution algorithm B may be configured to provide a more targeted course and option to the user using the laundry treatment apparatus 10.

That is, the calculation unit 410 autonomously updates the execution algorithm B by the learning expression a, thereby greatly improving the accuracy and suitability of the plurality of processes and options. Therefore, as the usage history increases or time elapses, the laundry treating apparatus 20 can recommend a process and an option more targeted to the user's habits and environments.

When the collected usage history reaches a certain level, the arithmetic unit 410 may newly acquire the execution algorithm B. For example, when all of the usage histories stored in the second memory unit 422 are replaced, the execution algorithm B may be retrieved.

On the other hand, the first memory unit 422 may store all usage histories to retrieve the execution algorithm B. The arithmetic unit 410 may be required to have a more complicated arithmetic capability than the control unit 400 for driving the driving unit, the water supply valve, and the like. The arithmetic unit 410 may be preferably provided as a parallel arithmetic device capable of executing parallel processing (parallel processing) for simultaneously processing tasks (tasks) different from each other by a plurality of programs (processes).

The arithmetic unit 410 may be provided integrally with the main control unit 400, or may be provided to be connected to the control unit 400 so that a desired arithmetic operation can be performed instead of the control unit 400.

As a result, the control section 400 may be arranged to autonomously execute the execution algorithm B. Therefore, the control section 400 can execute the execution algorithm B even if the communication module 60 is not activated or the communication connection of the communication module 60 with the server 10 or the external terminal 40 is cut off.

On the other hand, the communication module 60 may transmit any one of the execution algorithm B and the learning equation a in the server 10 to the control part 400. The control unit 400 may replace any one of the learning expression a and the execution algorithm B stored in the storage unit 420.

Thus, the laundry treating apparatus 20 can acquire the latest version of the learning equation a and the execution algorithm B through the communication module 60, and can repair a problem such as a defect in the learning equation a and the execution algorithm B even if the problem occurs.

On the other hand, the communication module 60 may include: a communication modem 62 capable of communicating with the AP 30; a communication microcomputer 61 for controlling the communication modem 62; and a Random Access Memory (RAM)63 for storing information required by the communication microcomputer.

At this time, power may be supplied from the power supply part P to the laundry treating apparatus 20, thereby supplying power to the control part 400 and the communication module 60. When the operation of the laundry treatment apparatus 20 is completed, it is preferable to cut off the power of the control unit 400 to minimize the consumption of the standby power. However, it is preferable to maintain power supply to the communication module 60. This is to prevent the communication module 60 from repeatedly setting a mode for communication connection with the AP 30 or the server 10 and save time for activating or restarting the communication module 60.

That is, even if the processes and options performed in the laundry treating apparatus 20 are all ended, the power source or power may be always supplied to the communication module 60.

Accordingly, since power is always supplied to the communication module 60, the RAM 63 may periodically receive information from the server 10. Thus, when the recommendation requesting part 180 receives an input, the region information can be immediately transmitted to the control part 400. Therefore, time for connecting with the server 10 or receiving the region information from the server 10 can be saved.

On the other hand, the communication module 60 may always be connected to the server 10. When the power is input to supply power to the control part 400, the communication module 60 may be configured to be able to immediately receive the region information from the server 10. The region information may be stored in the storage part 420 or immediately transmitted to the control part 400 during the time when the operating system is activated by supplying power to the control part 400. Thus, the region information can be immediately reflected in the execution algorithm B upon supply of power to the control unit 400.

The laundry treating apparatus of the present invention may perform the setting determination of a specific course or option, the execution of the specific course or option, the setting change of the specific course or option, and the recommendation of the specific course or option among arbitrary courses or options using the aforementioned artificial intelligence or an execution algorithm provided by the artificial intelligence.

The setting of the specific course or option may correspond to a drum RPM, a water level, a duration, a water temperature, and a rate of change of these, which are required when the course or option is performed. That is, the setting may correspond to a condition or the like for executing the specific process or option.

Hereinafter, a control method of an online system including the laundry treating apparatus will be described with reference to fig. 8.

The online system of the present invention may perform: the AI activation process input step I using artificial intelligence or a command provided by artificial intelligence to execute algorithm B is received through the input 150.

The AI activation process may refer to all processes for causing the online system to use the artificial intelligence or the execution algorithm.

In the case where the input part 150 has a button or an area directly using the artificial intelligence, or in the case where there is a possibility that the artificial intelligence is used in a process or an option executed by the input of the input part 150, the input step I may be a step of detecting the input of the input part 150.

On the other hand, the control section 400 or the server 10 can immediately determine whether or not the command input by the input section 150 is a command for executing the artificial intelligence or executing an algorithm, but may actually be configured to determine whether or not the artificial intelligence or executing an algorithm is to be executed in a process of preparing to execute the process or option, or the like.

Therefore, in the input step I, in the case where the control part 400 or the server 10 has made it clear that the specific command input by the input part 150 is a command not using artificial intelligence at all, the online system of the present invention may execute an AI display part OFF step V-a in which a situation in which the input command does not use artificial intelligence is displayed. The AI display section OFF step V-a may be a step of turning OFF the light emitting section AI or keeping the light emitting section AI in the turned-OFF state. Thus, the user can intuitively recognize that the input specific command does not utilize artificial intelligence.

On the other hand, in the input step I, when the control unit 400 or the server 10 determines that the specific command can use artificial intelligence or execute the algorithm B, an AI activation preparation display step II may be performed in which an input value required for using the artificial intelligence or executing the algorithm B is received.

The AI activation preparation display step II may be a step of receiving a minimum input for deriving a result value of the execution algorithm B. For example, the AI activation preparation display step II may be a step of measuring the material or weight of the laundry to determine the optimal setting of the course or option. Alternatively, there may be a step of receiving or analyzing the regional information to recommend the procedure or option.

The AI activation preparation display step II is a step of executing preparation using the artificial intelligence or executing the algorithm B, and therefore, the light emitting section AI can be controlled to light up.

That is, if it is in a state ready to use the artificial intelligence or execute the algorithm B, or in the process of using the artificial intelligence or executing the algorithm B, or as a result of using the artificial intelligence or executing the algorithm B, the online system of the present invention may perform the AI display section ON step V for lighting the light emitting section AI.

Thus, the user can recognize that the laundry treating apparatus of the present invention is at least in a state capable of using the artificial intelligence or executing the algorithm B by confirming the lighting state of the light emitting part AI.

The light emitting unit AI may be controlled by either the control unit 400 or the control panel 100.

In the preparation state II, the light emitting section AI may be controlled to a blinking state in which lighting and extinguishing are repeated. Thus, the user can recognize the fact that artificial intelligence or an execution algorithm has been used by the lighting of the light emitting section AI, and can recognize that a process using the execution algorithm is being used or is in a ready state for use by the blinking of the light emitting section AI.

On the other hand, in the AI activation preparation display step II, an AI activation determination step III may be performed in which it is determined whether the control part 400 or the server 10 is to use the result value of the execution algorithm B or artificial intelligence. The determination step III may be a step for deriving a result value finally obtained using the artificial intelligence or executing the algorithm B. Alternatively, the determining step III may be a step for determining to execute and control the laundry treating device 20 using the execution algorithm B.

In the determination step III, the control unit 400 or the server 10 may finally determine not to use the artificial intelligence or execute the algorithm B, or may determine that the artificial intelligence or execute the algorithm B is not available because all input values required for the artificial intelligence or execute the algorithm B are not received. In this case, the online system of the present invention may perform the AI display portion OFF step V-a.

Thus, the user can recognize that the state in which the artificial intelligence cannot be used or the algorithm B is executed.

However, even in the case where it is determined in the determination step III that the artificial intelligence or the execution algorithm B is not used or the required information is not received, the determination step III is in a state in which the use or non-use of the artificial intelligence or the execution algorithm B has been finally judged. Therefore, an AI display section ON step V for lighting the light emitting section AI can be performed.

That is, in the determination step III, if it cannot be recognized with the naked eye that artificial intelligence is not performed or algorithm B is performed, the display portion ON step V may be performed. This can prevent the user from mistakenly recognizing that the laundry treatment apparatus 20 does not have or does not use artificial intelligence.

In addition, it is possible to make the user recognize that the laundry treating apparatus 20 is configured to use artificial intelligence or to perform the algorithm B. Therefore, the user can be prevented from misunderstanding the reliability of the product.

On the other hand, without executing the execution algorithm B, the online system of the present invention may execute the identifiability judgment step III-a for judging whether such a state can be recognized from the outside.

If it is determined in the determination step III that the artificial intelligence or the algorithm B is not executed and it is determined in the identifiability determination step III-a that the situation can be recognized from the outside, the online system may perform the display OFF step v-a. This enables the display of the light emitting unit AI to be reliably maintained for the user.

ON the other hand, if it is determined in the determination step III that the artificial intelligence or the execution algorithm B is to be used, or it is determined in the identifiability determination step that the state in which the artificial intelligence or the execution algorithm B is being used is recognizable from the outside, the display portion ON step V may be executed.

The online system of the present invention may further include a user directly specifying step IV in which it is detected whether a command for preventing intervention of artificial intelligence is received from the user. The user may wish to reflect his/her intention first by inputting directly through the input part 150 or the external terminal 40. That is, the user may wish to avoid intervention of artificial intelligence in determining a specific process or option, determining a setting of the process or option, or setting a reservation time, etc. through the input part 150 or the external terminal 40.

In this case, even if the artificial intelligence or the execution algorithm B can be used through the input of the input part 150 or the external terminal 40, the control part 400 or the server 10 may prevent the artificial intelligence or the execution algorithm B from being used. That is, the control part 400 or the server 10 may prevent the artificial intelligence or the execution algorithm B from changing the user's command to the optimization in the case of having a strong intention of the user.

Thus, the user's intention can be reflected explicitly to the online system of the present invention. At this time, the online system of the present invention may perform the display-off step to display the fact that the artificial intelligence is not used or the algorithm B is performed.

ON the other hand, in the display part ON step V, when the laundry treatment apparatus 20 uses the artificial intelligence or the result value of the execution of the algorithm B, the operation of the laundry treatment apparatus 20 may be interrupted due to an error or the like occurring in the laundry treatment apparatus 20. Even in this case, the display section ON step V may be maintained.

The error may correspond to a short circuit due to occurrence of excessive vibration, overturning of the laundry treating device 20, or the like.

Even in a state where the operation of the laundry treating apparatus 20 is interrupted, the light emitting part 150 may be kept in an illuminated state, thereby informing the user that the laundry treating apparatus 20 is using artificial intelligence.

The display of the error or the like may be displayed by a separate display method of the display unit 130.

Fig. 9 shows an embodiment presenting the control method at the control panel 100.

Referring to fig. 9(a), the light emitting part AI may be an option display part 132 in the form of an icon in the display part 130 of the control panel 100. The light emitting part AI may be provided in any form of LED, LCD, incandescent lamp, etc., as long as it can selectively emit light.

The light emitting section AI can be kept in an off state in the initial stage. Since the light emitting part AI exists, the user can recognize that the laundry treating apparatus of the present invention is set in a state capable of using artificial intelligence.

In addition, when there is a direct specification step IV for clarifying the user's intention not to use artificial intelligence or a state in which artificial intelligence is not used can be recognized from the outside, a display section OFF step V-a for turning OFF the light emitting section AI may be executed.

Referring to fig. 9(b), in the display step II, the light emitting part AI may be lit. At this time, the light emitting part AI may be set to blink, whereby the user can recognize that the control part 400 or the server 10 is in a state of being ready to use the artificial intelligence or execute the algorithm B.

The light emitting part AI may also be controlled to emit relatively weak light without flickering or to emit light of another color.

Referring to fig. 9(c), after the determination step III, the control part 400 or the server 10 may perform the display part ON step V of controlling the light emitting part AI to keep the lighting state.

The display part ON step V may be maintained regardless of the operation state of the laundry treating apparatus. Thus, the user can recognize that the artificial intelligence is in the activated state through the display portion ON step V.

With reference to fig. 10 to 14, an embodiment is described in which the artificial intelligence or the execution algorithm B is used to optimize the setting of processes or options.

Referring to fig. 10, when a process or option that can utilize artificial intelligence is input through the input unit 150, the online system of the present invention may perform a condition receiving step CI in which the internal condition is received in order to achieve an optimal setting of the process or option. The conditional access step CI may correspond to the AI activation process input step I.

The condition receiving step CI may be a step in which the control part 400 or the server 10 detects or receives an internal state of the drum or the tub. That is, the conditional access step CI may be regarded as a step for collecting input values to be input to the execution algorithm B.

Specifically, the step may include: for receiving a current value or a voltage applied or outputted to the driving part 25, or detecting a water level change of the tub, etc.

Thereby, the control section 400 or the server 10 can execute: an internal state determining step CII of finally determining an internal state of the drum or the tub. For example, the internal state determining step CII may be a step for determining or identifying the state of the weight or material of the laundry.

The internal state determination step CII may correspond to the AI activation preparation display step II.

Once the control part 400 or the server 10 confirms the internal state of the tub or drum, an execution setting determination step CIII for determining a setting of a process or option suitable for the confirmed state may be performed. The execution setting determination step CIII may be a step of determining an optimum setting of the process or option by inputting the internal state to the execution algorithm B.

The execution setting determination step CIII may correspond to the AI activation determination step III.

For example, in the case where the course or option is a standard course and a standard option, the execution setting determination step CIII may be a step of finally adjusting the setting of the water level, the water temperature, the RPM variation amount, and the like of the standard course or option optimized for the material or weight of the laundry. Thereby, even if the same course or option is performed, specific execution conditions of the course or option may become different according to the state of the inside of the drum or tub.

Fig. 11 illustrates the determination of the type of laundry using the control method of fig. 10.

The laundry treating apparatus of the present invention may detect the load type of the laundry to determine a setting for performing the course or option. In the process of detecting the load type of the laundry, an execution algorithm or artificial intelligence may also be utilized.

The laundry treating apparatus of the present invention may detect a load (CIa) of the laundry using the internal receiving step.

The control part 400 may receive all the rpm change of the drum, the water level change of the tub, and the current/voltage change applied to the driving part 25 by rotating the driving part 25 in a forward direction or a reverse direction, or changing a rotation direction.

In the laundry treating apparatus of the present invention, the control part 400 may input all of the rpm change of the drum, the water level change of the tub, and the value of the driving part 25 to the execution algorithm b (ciia) through the internal state determining step.

The execution algorithm B is set up in the manner described below.

The execution algorithm B may be arranged to receive a plurality of input values and to derive an output value. The execution algorithm B may be set by a Neural Network (Neural Network) or a continuous Neural Network (Neural Network).

The control unit 400 or the server 10 of the laundry treatment apparatus according to the present invention may determine the load type by outputting the result of the execution algorithm B in the execution determination step CIIIa. That is, the weight and material of the clothes can be grasped at one time.

For example, when the driving unit 25 is controlled to receive the RPM1, the water level change 1, and the current value 1 and input them to the execution algorithm B, the execution algorithm B may output that the laundry is a fabric (load type 1).

For example, when the driving part 25 is controlled to receive the RPM2, the water level change 1, and the current value 1 and input them to the execution algorithm B, the execution algorithm B may output that the laundry is made of a mixture of a surface material and jeans (load type 2).

That is, the control unit 400 may be configured to derive one output value from a plurality of input values by executing the algorithm B. This is different from a conventional method in which the control unit collects only one condition and derives one output value.

Fig. 12 shows an embodiment of determining the setting of a procedure or an option using the control method of fig. 10.

The laundry treating apparatus of the present invention may control the drum to be accelerated to a specific RPM and decelerated while the internal condition receiving step cib is performed. In this case, the light emitting section AI may blink.

The laundry treating apparatus of the present invention may perform the internal state determining step CIIb in which the weight and material of the laundry are determined based on the RPM waveform of the drum during acceleration and deceleration of the drum using the execution algorithm B.

The execution algorithm B may analyze whether the laundry is made of 100% soft material, or includes 50% hard material, or the like. In this case, the light emitting section AI may still blink.

The laundry treating apparatus of the present invention may determine the specific setting of the course or option using the weight and material analyzed in the execution algorithm B and the execution setting determination step CIIIb. In this case, the light emitting unit AI can maintain the lighting state.

When the weight and the material are derived by executing the algorithm B, the control part 400 may input the result value to a Table (Table), or change the setting of the process or the option by further using the execution algorithm B.

For example, in the case where the execution of the standard process or option is inputted, the basic set value may be equivalent to a material level of 3, a weight of 3KG, and thus may be RPM 51, a standard water level, a temperature of 40 degrees, a standard time.

At this time, when it is detected that the material of the current laundry is 100% soft material and the laundry weight is 1KG by performing the algorithm B, the control part 400 may increase RPM by 7, lower the water level by 4, lower the temperature by 20 degrees, and reduce the duration by 10 minutes from the standard course or options.

The set variance may be the best result of artificial intelligence considering all of the following: in case that the laundry is soft material, since Unbalance (UB) is small, the drum speed can be further increased; excessive water supply may occur due to excessive water absorption. The set variation may be an optimized value derived by the server 10 or the like by executing the algorithm B, and may be written in TABLE and stored in the control unit 400.

Fig. 13 shows an embodiment in which only a part of the setting of the procedure or the option is changed by the control method of fig. 10.

Referring to fig. 13(a), the laundry treating apparatus of the present invention may be configured to modify the conditions of a part of the course in the setting of the course or option using artificial intelligence or an execution algorithm.

For example, it may be arranged to modify the dewatering conditions of a particular process or option.

The laundry treating apparatus may receive the vibration values and current values of the X, Y, and Z axes or the phase difference and RPM variation of the rotation with reference to the X, Y, and Z axes through the internal condition receiving step C1.

In this case, the light emitting unit AI can be controlled to blink.

The laundry treating apparatus may detect the weight or texture of the laundry through the internal state determining step CII, or may determine the dehydration condition by immediately and continuously performing the setting determining step CIII.

In this case, the light emitting unit AI can be controlled to light up.

Fig. 13(b) shows a change in rpm of the drum when the dehydration process is performed as in the most basic dehydration condition 1. The dehydration process is performed for 1 time in a state that the weight and material of the laundry are the reference, and the speed may be increased by detecting unbalance in the course of gradually accelerating or uniformly rotating the drum.

At this time, in case the unbalance exceeds the reference value, the rotation speed of the drum may be reduced or a short circuit e interrupting the rotation of the drum may be performed.

Fig. 13(c) shows the dehydration condition 2 performed in the case where the material of the laundry is a relatively soft material and the weight of the laundry is a reference value.

The clothes are made of soft materials, so that the clothes can be uniformly spread in the drum without being agglomerated. Therefore, it is predicted that a large unbalance will not occur, so the control part 400 may omit the short circuit e itself from the dehydration condition.

Fig. 13(d) shows the dehydration condition 3 performed in the case that the material of the laundry is hard and the weight of the laundry is large.

The laundry is made of soft materials, so that the laundry may be lumped in the inside of the drum, and unbalance may be considerable. Therefore, the speed of the drum may be set lower than the dehydration condition 1. At this time, since the speed of the drum is low, the dehydration effect can be secured by extending the dehydration time t 3.

Fig. 13(e) shows the dehydration condition 4 performed in the case where the material of the laundry is soft and the weight of the laundry is also small.

The laundry is made of a hard material and has a small weight, and thus, the speed of the drum may be excessively increased. However, in case that the speed of the drum is excessively large, unbalance or excessive vibration may occur, and thus the short-circuit condition e may be directly maintained.

In other words, since the execution algorithm B derives various data for executing the dehydration process by deep learning, the optimal dehydration condition can be set according to the weight and material of the laundry.

Fig. 14 to 15 show an embodiment in which the laundry treating apparatus of the present invention changes the setting of the course or option using artificial intelligence or an execution algorithm.

Fig. 14 shows an embodiment of a control method of the laundry treating apparatus 20 of the present invention.

The control part 400 of the laundry treating apparatus 20 of the present invention may receive an input of the input part 130, thereby determining a specific course or option from any course or option of performing at least any one of a washing course (washing cycle) for removing foreign substances from laundry and a drying course (drying cycle) for removing moisture from laundry, and may receive an input of the action part 170 to perform the course or option.

The user may be dissatisfied with the results of the process or option. Thus, it is possible to perform: a setting change requesting step P1 of inputting a command for changing the setting of the procedure or option through the input section 150.

The setting change request step P1 may correspond to the AI activation process input step I.

In the setting change requesting step P1, the control part 400 may receive specific change information for changing a specific setting among the settings of the specific procedure or option.

The change information may be a content for directly changing the setting of the procedure or the option, or a content for changing the function of the procedure or the option. When the input of the specific change information is performed, the control part 400 may perform a preview step PII in which the changed setting of the procedure or option corresponding to the input of the change information is reflected in advance using the execution algorithm B and displayed on the display part 130. The preview step PII may correspond to the AI activation preparation display step II. Therefore, the light emitting section AI can be lit.

The alteration information may be integrated information of increasing or decreasing washing ability, rinsing ability, dehydrating ability, etc. in the course or option. Accordingly, the control part 400 may receive the input and optimize and change the setting corresponding to the input by the execution algorithm B. A specific method of using the execution algorithm B will be described later.

The control section 400 may execute an acceptance step PIII for receiving a command for accepting or rejecting the setting of the specific process or option modified using the execution algorithm B. In the accepting step PIII, the control unit 110 may execute a changing step PIV for changing the setting of the specific procedure or option when an input is made through the input unit 130 or through a save button a displayed on the display unit 130.

The alteration step may correspond to the user directly specifying step IV. Therefore, the light emitting section AI can be turned off. Thus, the user can recognize the fact that although artificial intelligence is used to reflect his/her intention, the intention is finally reflected and stored in the control unit 400 without intervention of artificial intelligence.

On the other hand, the control part 110 may stop the operation of the laundry treating apparatus when the input is made through the input part 130 or the input is made through the cancel button B displayed on the display part 130.

Fig. 15 shows an embodiment in which feedback can be input in the control panel 100.

The course or option may have various settings for performing the washing course and the drying course. For example, the setting may include a total rotation time of the driving part, an rpm of the driving part, an actual operation rate of the driving part, an opening time of the water supply valve, or a water level of the outer tub when the course or option is performed. For this purpose, change information for directly or indirectly changing the setting may be displayed on the display unit 130. The change information may be provided in the form of a button or an icon for changing one or more of the number of repetitions of performing the process or option, a total duration, the number of repetitions, the rpm of the driving part, the actual operation rate of the driving part, the open time of the water supply valve, and the water level of the outer tub.

Referring to fig. 15(a), when the process or option is finished, change information C may be displayed on the display part 130. When the process or the option is completed and the feedback request displayed on the display unit 130 is acknowledged, the change information C may be displayed on the display unit 130.

The change information C may be configured to change one or more of a total duration, an rpm of the driving part, an actual operation rate of the driving part, an open time of the water supply valve, and a water level of the outer tub in the setting of the course or option.

The change information C may be displayed in the form of a table C1 of the current setting state of the process or option and the setting state that can be changed.

The user may directly enter and change the desired settings on the form C1. In addition, a setting value that can be changed may be displayed on the table C1 to change the setting step by step.

For example, when the setting part related to the duration is inputted in the table C1, the setting related to the duration in which the duration can be changed stepwise may be displayed in the table C1, and the user may select the desired duration therein. If the duration of the existing procedure or option is 20 minutes, the setting values of 15 minutes, 25 minutes, 30 minutes, etc. may be displayed in the table C1, and the user may change the setting related to the duration by selecting one of them.

In addition, the change information C may be set to change the entire setting of the specific procedure or option. However, it may also be provided that only the settings of parts of the specific process or option are changed. For example, in case the specific course or option consists of a continuous washing course, rinsing course, dewatering course, it may be arranged to modify only a part of the course. This makes it possible to reliably reflect the intention of the user to change only a part of the specific process or option.

For example, in a case where the laundry treating apparatus 1 is provided as a washing machine, the change information may include one or more of wash change information w and rinse change information r, the wash change information w being provided to increase or decrease at least any one of the number of repetitions related to the washing process of the specific process or option, a total duration, the rpm of the driving part, the actual operation rate of the driving part, the open time of the water supply valve, and the water level of the laundry receiving part, and the rinse change information r being provided to increase or decrease at least any one of the number of repetitions related to the rinsing process of the specific process or option, the total duration, the rpm of the driving part, the actual operation rate of the driving part, the open time of the water supply valve, and the water level of the laundry receiving part.

In addition, dehydration change information d configured to increase or decrease one or more of the number of repetitions, total duration, rpm of the driving part, activation rate of the driving part, opening time of the water supply valve, and water level of the laundry receiving part in relation to the specific course or the option of the dehydration course may be further included.

The display unit 130 may display all existing settings and changed settings in the change window c1 so that these settings can be compared. That is, the change window c1 may be provided to display the changed settings together so that the user can confirm in advance before the control section determines the changed settings.

Further, on the display unit 130, there may be displayed: a save button F for accepting a case where the setting of the procedure or option is changed by the changed setting; and a cancel button E.

When input through the save button F, the setting of the procedure or option may be changed and stored in the control part 110 or the server 10. Thus, the changed settings can be reflected when the next procedure and option are executed. The changed contents may be canceled when input through the cancel button E, and the program for reflecting feedback may be completely terminated when additional input is made.

On the other hand, the user may be unfamiliar with which of the settings need to be accurately changed. For example, in the case where it is desired to enhance the rinsing ability, it may be unfamiliar with which of the settings need to be increased or decreased. Further, it may be unfamiliar with whether only one of the settings needs to be changed or two or more of the settings need to be changed. In addition, when the user excessively changes the setting arbitrarily, the function of the laundry treating apparatus may not be performed or the laundry may be damaged.

Therefore, the laundry treating apparatus 1 of the present invention and the online system including the same may be configured to receive only feedback on the function of the course or option from the user and to change the setting using the execution algorithm B, thereby improving the setting.

Referring to fig. 15(b), the change information C may be displayed on the display unit 130 in the form of an icon.

Specifically, when the change information C includes washing change information w, rinsing change information r, and spin change information d, the washing change information w may be displayed as washing increase/decrease icons w1, w2 capable of increasing/decreasing washing capacity, the rinsing change information r may be displayed as rinsing increase/decrease icons r1, r2 capable of increasing/decreasing rinsing capacity, and the spin change information d may be displayed as spin increase/decrease icons d1, d2 capable of increasing/decreasing spin capacity. In addition, when inputting through each of the icons, settings that need to be changed may be stored in the control section 110 or the server 10 correspondingly.

For example, the wash up-down icon may include: a washing increase icon w1 for increasing washing capacity; and a washing reduction icon w2 for reducing washing capacity. In addition, the rinse increase/decrease icon may include: a rinse increase icon r1 for increasing the rinsing capacity; and a rinse reduction icon r2 for reducing the rinse capacity. Additionally, the dehydration increase or decrease icon may include: dewatering increase icon d1 for increasing dewatering capacity; and a dewatering reduction icon d2 for reducing dewatering capacity.

Thus, the user can sufficiently request a setting change for the procedure or option only by the icon input, and the control unit 110 or the server 10 can change the procedure or option to a setting optimized for the user's change request. Even if the user does not have sufficient knowledge about the laundry processing apparatus 1 or does not know the setting contents of the course or the option, the user can intuitively input a desired setting by inputting the iconized change information C.

On the other hand, the display unit 130 may also simultaneously display a guide character G2, and the guide character G2 may guide the user to input the iconified change information C, thereby providing a desired feedback.

Fig. 15(c) and 15(d) show an example in which the user inputs through the rinse increase icon r 1.

When the rinsing increase icon r1 is input, the display part 130 may display a setting capable of enhancing the rinsing capacity.

Specifically, the display unit 130 may display: existing settings of the process or option; and a modified setting of the course or option modified by the input of the rinse addition icon r 1. This enables the user to recognize which settings are specifically changed and thus the rinsing capacity can be enhanced.

Referring to fig. 15(c), the settings may all be increased when the rinsing increase icon r1 is input. Referring to fig. 16(d), when the rinse increase icon r1 is input, the settings may be changed in sequence from the setting having the largest influence on the rinsing capacity to the setting having the smallest influence, or may be changed in a stepwise manner at the same time.

For example, whenever the rinsing increase icon r1 is input, the number of times of rinsing of the course or option is first increased. Then, the rinsing time and the rinsing water level may be increased, and finally, the rpm and the dynamic rate of the driving part in the rinsing step may be increased.

The order and degree of change can be reflected in the control unit 110 or the server 10 by the execution algorithm B.

In contrast, when the rinsing reduction icon r2 is input, the set value may become small. In addition, the washing increase/decrease icon w and the dehydration increase/decrease icon d may be applied in the same manner, but since the washing capacity and the dehydration capacity have a greater influence on the number of times, rpm, and actual operation rate, when input through the icons w, d, the number of times, rpm, and actual operation rate may be changed first, and then the water level or duration may be changed.

As described above, the user can change the setting of the procedure or option at his or her own discretion by merely selecting an increase or decrease of the function for the procedure or option. In other words, the setting affecting the washing, rinsing and spinning performances of the course or the option may be received according to the input of the icon corresponding to the setting, and the determination of the setting may be reflected.

Of course, the input of the change information or the input provided through the icon may be replaced with any one of the buttons in the input unit 130.

On the other hand, the set value to be changed by the change information may be determined by the control unit 100 or the server 10 by the execution algorithm B. That is, even in the case where the user does not know how much the setting needs to be changed, the server 10 or the control part 400 may determine the value suitable for the laundry treating apparatus 1 that needs to be changed using the execution algorithm B.

For example, when the change information is input 1 time, the amount of change of the setting to be changed may be stored in the server 10 or the control unit 400 in advance.

To this end, the server 10 may collect, as big data, one or more of the numerical values set by the user's change or the numerical values studied by the producer who studied the setting. Thus, the server 10 or the control unit 100 may determine an optimum setting change amount by performing deep learning (deep learning) or machine learning (machine learning) on the large data by an artificial intelligence method.

Fig. 17 shows an embodiment in which the laundry treating apparatus of the present invention can recommend a specific course or option among any courses or options through the execution algorithm.

Hereinafter, referring to fig. 17, a control method by which the laundry treating apparatus 20 of the present invention can estimate and recommend a customization course and options to a user is explained.

The laundry treatment apparatus 20 according to the present invention may include the communication module 60, the control unit 400, the display unit 130, the input unit 150, the operation unit 170, and the recommendation request unit 180 (see fig. 4 and 9).

The control method comprises the following steps: an input step S1 of detecting whether the recommendation requesting part 180 is input or not when power is supplied to the laundry treating apparatus 20 or the control part 400; a calculation step SII-2 of determining a procedure and an option predicted to be used by the specific user when an input through the recommendation requesting part 180 is detected; and a recommendation step SIII-1 of displaying the calculated procedure and option on the display unit 130.

The input step S1 may correspond to the AI activation process input step I, and the operation step SII-2 may correspond to the AU activation display step II.

The recommendation requesting part 180 defined in the input step S1 may be a broad structure for detecting the intention of the user to obtain the recommendation of the course and option suitable for the current situation from the server 10 or the laundry treating device 20. That is, the recommendation requesting part 180 may be a specific switch located at the control panel 100.

In addition, when the control part 400 recognizes the user's motion or voice to recommend a procedure or option suitable for the current situation, the camera 200 or the microphone 300 may also perform the role of the recommendation requesting part 180.

In addition, when the user sets to recommend a customization course and options to the washing apparatus through the application program of the external terminal 40, the external terminal 40 may perform the function of the recommendation requesting part 180.

In other words, the input unit 150 may correspond to a switch provided on the control panel 100, the microphone 300, the camera 200, and the external terminal 40. Accordingly, the meaning of detecting whether the input of the input part 150 is performed or not may be to identify a specific action that the user wishes to perform to obtain a recommendation of a procedure and an option from the composition.

In the input step S1, if the user does not input to the recommendation requesting part 180, it indicates that the user does not wish to be recommended a course or an option, and thus, the step (SIII-1) of providing or recommending a basic course and an option to the laundry treating apparatus 20 may be performed.

The basic process may be a process formally provided by the process input part 140, and the option may refer to an option formally provided by the option selecting part 160.

The step of providing or recommending the basic procedure and the option may be that the control panel 100 activates the operations of the procedure selecting part 140 and the option selecting part 160.

The control part 400 may perform: an acceptance detection step SIII-2 for detecting that the user selects or does not select the process selecting section 140 and the option selecting section 160.

The admission detection step SIII-2 may be a step of detecting whether or not the user inputs the admission information through the operation unit 170. When the user inputs through the action part 170, the control part 400 may perform the execution step SV-1 for implementing the procedure and option selected by the user, and may perform the storage step s9 for storing the use history of the user in the control part 400 and causing the execution algorithm B to learn.

The operation step SII is a step in which the control unit 400 uses the execution algorithm B to calculate a procedure and an option that are predicted to be likely to be used by the user or most suitable for the user at the current time point.

The usage history of the specific user or the new user may be reflected in the execution algorithm B, or the usage history may not be reflected in the reason that the specific user or the new user uses the laundry treatment apparatus 20 for the first time.

In order to distinguish whether the usage history is reflected, if the input through the recommendation requesting part 180 is detected, the control part 400 may perform a checking step Sii-1 for checking whether the specific user has a history of using the laundry treating apparatus once.

When it is detected in the checking step sii-1 that the use history of the specific user is stored, the control part 400 may perform a reflection calculation step s3-2, in which the process and the option dedicated to the prediction of the specific user are calculated by reflecting the history of the specific user to the execution algorithm B in the reflection calculation step s 3-2.

However, in the case where there is no use history of the specific user in the checking step sii-1, the control part 400 may perform an initial calculation step s3-1 in which a process step and a recommended step predicted to be used by the specific user at the current time point are calculated by the execution algorithm B provided by the server 10 in the initial calculation step s 3-1.

In the initial calculation step s3-1, since the executed algorithm B accessible to the control unit 400 has no history of the specific user, the control unit 400 calculates the procedure and recommendation procedure of the specific user using the histories of the plurality of unspecified users reflected in the generation of the executed algorithm B in the server 10.

The current time point may be a state in which the date, the day of the week, the time, the history of use of the processes and the options used by the plurality of users and the specific user, and the pattern at the current time point are all reflected.

The execution algorithm B may be stored in the control part 400, or, when there is a request from the control part 400, the laundry treating apparatus 20 may be connected to the server 10 using a communication module 60, thereby accessing the recommendation formula B stored in the server 10.

That is, the operation step SII-2 may include the initial operation step s3-1 and the reflection operation step s 3-2. The operation step SII-2 may be referred to as a step of recommending processes and options to the user based on the user's mode.

The pattern or history of the particular user may include: a history including any one or more of time, date, and day of week that the specific user used the laundry treatment apparatus 20; and a history related to processes and options performed when the laundry treating apparatus is used at each time, date, and week.

The history and pattern may be used in generating the execution algorithm B or in learning, and may be input values of the execution algorithm B.

The communication module 60 may be configured to communicate with an external entity 40 that provides information on the region where the particular user is located.

The external entity 50 may communicate directly with the communication module 60, or the communication module 60 may communicate with the server 10, and the server 10 communicates with the external entity 50, thereby allowing the communication module 60 to communicate indirectly with the external entity 50.

In the case where the control unit 400 recommends procedures and options based on the user's mode or history, current region information may not be reflected.

Accordingly, the laundry treating apparatus of the present invention may further include: a receiving step s4 of receiving the region information through the communication module 60; and a supplementary step sii-4 in which the control part 400 adjusts at least one of the calculated procedures and options by reflecting the region information.

The region information may include any one or more of the following information: weather information providing weather information including whether the specific user is rainfall or not and a precipitation probability; atmospheric information providing temperature, humidity, and atmospheric pollution state of the region; seismic information providing whether an earthquake occurred or not in the area; water quality information providing water quality of the region; and electric charge information for each time period of the region.

In addition, the supplementary step sii-4 may be a step of adjusting the options including one or more of washing intensity, rinsing times, dehydrating intensity, device washing, operation time, water temperature, steam supply of the laundry treating device by receiving the region information.

In the supplement step s5, the case where the procedures and options are supplemented by the region information has been described in the above, and thus the description thereof will be omitted to avoid the duplicate description.

On the other hand, the weather information and the atmosphere information may include the weather information and the atmosphere information within a predetermined period of time before the laundry treating apparatus is used.

The reason why the weather information and the atmospheric information are equivalent to information within a predetermined period is that the weather and atmospheric information at the current time point may not reflect the weather and atmospheric information at the past time point. The predetermined period may be one week or 3 days.

For example, in the case where yesterday is sunny and there is much fine dust, the laundry may be contaminated even if today is cloudy and there is no fine dust.

Therefore, it is necessary for the laundry treating apparatus 20 to increase the number of rinsing times, washing intensity, and add an option for supplying steam to wash or sterilize the laundry in a contaminated state.

Therefore, it is necessary to consider all the weather information and the atmospheric information in the region information within a predetermined period.

The recommendation step SIII-1 is a step of displaying at least any one of the procedures and options to the user on the display unit 130 when the control unit 400 recommends the appropriate procedure and option to the user by executing the algorithm B and the adjustment for the procedure and option is completed by reflecting the region information.

The user can confirm the recommended procedures and options through the display part 130.

Of course, the recommendation step SIII-1 may comprise a situation that is displayed to the user, for example, in a push (push) notification on the external terminal 40.

The control part 400 may perform the recognition detecting step SIII-2 for detecting the recognition of the specific user in the recommending step SIII-1, and may further include an performing step SV-1 for operating the laundry treating apparatus with the course and the option displayed in the recommending step when a recognition intention such as an input of the action part 170 is detected in the recognition detecting step SIII-2.

The recognition detection step SIII-2 performed after the recommendation step SIII-1 may be a step of providing an input through the action part 170 when the user considers that the procedures and options recommended in the recommendation step are procedures and options predicted to be used or suitable by the user. That is, the recognition detection step SIII-2 may be regarded as a step of receiving an input through the operation unit 170 and receiving a command for operating the laundry treatment apparatus 20. When an input is received through the action part 170, the laundry treating apparatus 20 may be operated with the course and option.

Then, when the process and the option are finished, the storing step SV-2 for storing the usage history of the process and the option in the control section 400 may be performed. The stored usage history may be used in the process of learning the execution algorithm B. By learning the pattern of the particular user, more accurate customization processes and options can be recommended. In addition, the usage history may be provided as usage history for input to the execution algorithm B.

On the other hand, the user may have a need to reject the recommended procedures and options. In this case, the basic procedure and option input step sIV may be performed.

That is, the user may omit the recommended course and directly select the course input part 130 and the option selection part 160 to set the course and the option. Thus, the limitation of executing the algorithm B can be overcome, and the positive use intention of the user can be reflected.

As described above, the laundry treating apparatus 20 may include the camera 200 capable of recognizing the motion of the specific user, and in the detecting step s1, it may be detected whether the input is provided by recognizing the specific motion of the specific user.

In addition, the laundry treating apparatus 20 may include a microphone capable of recognizing the voice of the specific user, and in the input step S1, whether the input is provided may be detected by recognizing the stored voice command of the specific user.

On the other hand, the communication module 60 may be configured to be able to communicate with an external terminal 40, the external terminal 40 may be able to remotely control the laundry treating apparatus 20, and the input may be remotely received from the external terminal 40.

The recommending step SIII-1 may include recommending, to the external terminal 40, a condition of a date or time suitable for operating the laundry treating apparatus based on weather information and atmospheric information within a predetermined period of time before using the laundry treating apparatus.

The input step S1 may correspond to the AI activation process input step I.

The checking step SII-1 and the operation step SII-2 may correspond to the AI activation preparation display II. Therefore, the light emitting section AI can be controlled to blink.

The recommendation step SIII-1 and the acknowledgement detection step SIII-2 may correspond to the AI activation determination step III. Therefore, the light emitting unit AI can be controlled to be turned on.

The basic process input step SIV may correspond to a user directly specifying step IV. Therefore, the light emitting unit AI can be controlled to be turned off.

The present invention may be modified and implemented in various forms, but the scope of the present invention is not limited to the above-described embodiments. Therefore, if the modified embodiment includes the constituent elements within the scope of the claims of the present invention, it should be regarded as belonging to the scope of the claims of the present invention.