阅读说明：本技术 一种烟机照明方法及装置 (Method and device for lighting smoke machine ) 是由 杨玲林 姚文虎 于 2021-09-16 设计创作，主要内容包括：本发明涉及智能家电技术领域,尤其涉及一种烟机照明控制方法及装置,该方法包括：获取烟机的照明规则,该照明规则满足目标用户的照明时间范围；基于该照明规则控制烟机的照明状态,并监测目标用户是否对烟机执行照明处理操作；若是,基于照明规则和照明处理操作,控制烟机的照明状态,使得烟机按照照明规则实现烟机照明的智能控制,有效避免了用户因遗忘而造成的能源浪费,且减少了用户操作,并且结合用户操作更改烟机的照明状态,可以更准确控制烟机照明状态,进而提高了照明控制准确性。(The invention relates to the technical field of intelligent household appliances, in particular to a method and a device for controlling the lighting of a range hood, wherein the method comprises the following steps: acquiring an illumination rule of a cigarette machine, wherein the illumination rule meets an illumination time range of a target user; controlling the lighting state of the cigarette machine based on the lighting rule, and monitoring whether a target user performs lighting processing operation on the cigarette machine; if, based on illumination rule and illumination processing operation, control the illumination state of cigarette machine for the cigarette machine realizes the intelligent control of cigarette machine illumination according to the illumination rule, has effectively avoided the user to waste because of forgetting the energy that causes, and has reduced user operation, and combines the illumination state of user operation change cigarette machine, can more accurately control cigarette machine illumination state, and then has improved the illumination control accuracy.)

1. A method of controlling lighting in a range hood, comprising:

acquiring an illumination rule of a cigarette machine, wherein the illumination rule meets an illumination time range of a target user;

controlling the lighting state of the range hood based on the lighting rules and monitoring whether a target user performs lighting processing operations on the range hood;

and if so, controlling the lighting state of the cigarette machine based on the lighting rule and the lighting processing operation.

2. The method of claim 1, wherein said obtaining lighting rules for a cigarette machine comprises:

the method comprises the steps that when a cigarette making machine operates for the first time, the geographical position of the cigarette making machine is obtained;

based on the geographic location, lighting rules for the cigarette machine are generated.

3. The method of claim 2, wherein generating lighting rules for a cigarette machine based on the geographic location comprises:

obtaining reference lighting rules for N reference cigarette machines, the N reference cigarette machines being in the geographic location;

generating lighting rules for the cigarette machine based on the reference lighting rules.

4. The method of claim 3, after said generating lighting rules for the cigarette machine, further comprising:

acquiring historical use data of the target user on the cigarette making machine;

updating the lighting rules based at least on the historical usage data.

5. The method of claim 4, wherein the updating the lighting rules based at least on the historical usage data comprises:

acquiring scene data of the target user on the range hood;

updating the lighting rules based on the historical usage data and scene data.

6. The method of claim 5, wherein the updating the lighting rules based on the historical usage data and scene data comprises:

enhancing the historical use data based on the scene data to obtain enhanced user use data;

performing machine learning training based on the enhanced user usage data to obtain updated lighting rules.

7. The method of claim 6, wherein:

after monitoring whether the target user performs an illumination processing operation on the lighting state of the range hood, the method further comprises the following steps:

recording operational data of the lighting processing operation;

the acquiring of the historical usage data of the target user on the cigarette making machine comprises:

forming the historical usage data based on operation data of a plurality of lighting processing operations of the target user recorded over a historical period.

8. The method of claim 1, wherein said obtaining lighting rules for a cigarette machine comprises:

determining biometric information of a target user;

and determining a lighting rule aiming at the target user from a plurality of lighting rules of the cigarette making machine according to the biological characteristic information.

9. The method of any of claims 5 to 7, wherein:

the historical usage data includes: using one or more of date information, user information and operating data of the user performing lighting processing operations on the range hood;

the scene data includes: the range hood is located in one or more of the geographical position and the weather condition.

10. A lighting control device for a range hood, comprising:

the acquisition module is used for acquiring the illumination rule of the cigarette making machine, wherein the illumination rule meets the illumination time range of a target user;

the monitoring module is used for controlling the lighting state of the cigarette machine based on the lighting rule and monitoring whether a target user performs lighting processing operation on the cigarette machine;

and the control module is used for controlling the lighting state of the cigarette machine based on the lighting rule and the lighting processing operation if the lighting rule is positive.

11. A cigarette machine comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing said program, carries out the method steps of any one of claims 1 to 9.

12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method steps of any one of claims 1 to 9.

Technical Field

The invention relates to the technical field of intelligent household appliances, in particular to a method and a device for controlling the lighting of a range hood.

Background

The control of cigarette machine illumination can be realized through user manual control, realizes opening and closing of illumination according to user's demand, however, the condition that the user forgotten appears easily, for example, after opening the cigarette machine illumination, when finishing the cigarette machine and using, often will forget to close the illumination, therefore cause the waste of the energy.

Disclosure of Invention

In view of the above, the present invention has been developed to provide a method and apparatus for controlling lighting of a range hood that overcomes, or at least partially solves, the above-identified problems.

In a first aspect, an embodiment of the present invention provides a method for controlling lighting of a cigarette making machine, including:

acquiring an illumination rule of a cigarette machine, wherein the illumination rule meets an illumination time range of a target user;

controlling the lighting state of the range hood based on the lighting rules and monitoring whether a target user performs lighting processing operations on the range hood;

and if so, controlling the lighting state of the cigarette machine based on the lighting rule and the lighting processing operation.

In some embodiments, the obtaining the lighting rules of the cigarette making machine comprises:

the method comprises the steps that when a cigarette making machine operates for the first time, the geographical position of the cigarette making machine is obtained;

based on the geographic location, lighting rules for the cigarette machine are generated.

In some embodiments, said generating initial lighting rules for a cigarette machine based on said geographic location comprises:

obtaining reference lighting rules for N reference cigarette machines, the N reference cigarette machines being in the geographic location;

generating lighting rules for the cigarette machine based on the reference lighting rules.

In some embodiments, after said generating the lighting rules for the cigarette machine, further comprising:

acquiring historical use data of the target user on the cigarette making machine;

updating the lighting rules based at least on the historical usage data.

In some embodiments, said updating said lighting rules based at least on said historical usage data comprises:

acquiring scene data of the target user on the range hood;

updating the lighting rules based on the historical usage data and scene data.

In some embodiments, said updating said lighting rules based on said historical usage data and scene data comprises:

enhancing the historical use data based on the scene data to obtain enhanced user use data;

performing machine learning training based on the enhanced user usage data to obtain updated lighting rules.

In some embodiments:

after monitoring whether the target user performs an illumination processing operation on the lighting state of the range hood, the method further comprises the following steps:

recording operational data of the lighting processing operation;

the acquiring of the historical usage data of the target user on the cigarette making machine comprises:

forming the historical usage data based on operation data of a plurality of lighting processing operations of the target user recorded over a historical period.

In some embodiments, the obtaining the lighting rules of the cigarette making machine comprises:

determining biometric information of a target user;

and determining a lighting rule aiming at the target user from a plurality of lighting rules of the cigarette making machine according to the biological characteristic information.

In some embodiments:

the historical usage data includes: using one or more of date information, user information and operating data of the user performing lighting processing operations on the range hood;

the scene data includes: the range hood is located in one or more of the geographical position and the weather condition.

In a second aspect, the present invention also provides a lighting control device for a range hood, comprising:

the acquisition module is used for acquiring the illumination rule of the cigarette making machine, wherein the illumination rule meets the illumination time range of a target user;

the monitoring module is used for controlling the lighting state of the cigarette machine based on the lighting rule and monitoring whether a target user performs lighting processing operation on the cigarette machine;

and the control module is used for controlling the lighting state of the cigarette machine based on the lighting rule and the lighting processing operation if the lighting rule is positive.

In a third aspect, the present invention also provides a computer device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method steps of the first aspect when executing the program.

In a fourth aspect, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method steps of the first aspect.

One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

acquiring an illumination rule of a cigarette machine, wherein the illumination rule meets an illumination time range of a target user; controlling the lighting state of the cigarette machine based on the lighting rule, and monitoring whether a target user performs lighting processing operation on the cigarette machine; if, based on illumination rule and illumination processing operation control cigarette machine's illumination state for the cigarette machine realizes the intelligent control of cigarette machine illumination according to the illumination rule, has effectively avoided the user to waste because of forgetting the energy that causes, and has reduced user operation, and combines the illumination state of user operation change cigarette machine, can more accurately control cigarette machine illumination state, and then has improved the illumination control accuracy.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

FIG. 1 shows a schematic flow diagram of a method of controlling lighting of a range hood in an embodiment of the present invention;

figure 2 shows a schematic structural view of a cigarette machine illumination control device in an embodiment of the invention;

figure 3 shows a schematic diagram of the structure of a cigarette machine in an embodiment of the invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

The embodiment of the invention provides a lighting control method for a cigarette machine, which can be applied to the cigarette machine and also can be applied to a user terminal or a server which is in communication connection with the cigarette machine. As shown in fig. 1, the lighting control method of the cigarette machine comprises the following steps:

s101: acquiring an illumination rule of a cigarette machine, wherein the illumination rule meets an illumination time range of a target user;

s102: controlling the lighting state of the cigarette machine based on the lighting rule, and monitoring whether a target user performs lighting processing operation on the cigarette machine;

s103: and if so, controlling the lighting state of the cigarette machine based on the lighting rule and the lighting processing operation.

In some embodiments, in S101, the lighting rule of the cigarette machine may be obtained when the cigarette machine is started, that is, when the user turns on the cigarette machine, the lighting rule of the cigarette machine is obtained by triggering the starting of the cigarette machine, that is, the lighting rule of the cigarette machine is obtained only when the user really wants to use the cigarette machine, and when the cigarette machine is in a turned-off state, the lighting of the cigarette machine is not automatically controlled based on the lighting rule, so that the intelligent control of the lighting of the cigarette machine more meets the lighting requirements of the user.

In the embodiment of the invention, the cigarette making machine has different lighting rules when being started for the first time and when being started for the non-first time. Wherein, when the cigarette machine is operated for the first time, the lighting rule of the cigarette machine can be obtained in the following mode:

when the cigarette making machine operates for the first time, acquiring the geographical position of the cigarette making machine; based on the geographic location, lighting rules for the cigarette machines are then generated.

The lighting rule obtained for the first time can be preset and stored in the cigarette making machine program, and can also be dynamically obtained from the cloud server when the cigarette making machine runs for the first time, so that the lighting rule obtained for the first time can be improved to be more accurate, and the method is not limited herein.

In some embodiments, the geographic location may be a city in which the cigarette machines are located, and the living environment is consistent because the time zones in the same city are the same. And respectively presetting corresponding lighting rules for each region, wherein the cigarette machine in the region A is provided with one initial lighting rule, and the cigarette machine in the region B is provided with the other initial lighting rule.

For example, in the east sea city, the rising time of the sun is early in the morning, the sunset time is late in the evening, and the daily working time is early, so that the lighting time range of the cigarette machine in the east sea city is 6 o 'clock later to 7 o' clock earlier in the next day; in the west city, the rising time of the sun is late in the morning, the sunset time is late at night, and the daily working time is later, so that the range of the lighting time of the cigarette machine in the west city is from 9 o 'clock later to 10 o' clock earlier in the next day.

In some embodiments, if the lighting rule is dynamically obtained from the cloud server, the lighting rule is generated based on the geographic location, specifically according to the following manner:

and generating the lighting rule of the cigarette making machine based on the reference lighting rules of the N reference cigarette making machines in the geographical positions of the cigarette making machine, wherein N is a positive integer. The reference lighting rules of the N reference cigarette making machines are lighting rules actually adopted by the N reference cigarette making machines at present, namely the reference lighting rules are actually trained based on user habits of the reference cigarette making machines.

For example, the turning-on time of the N reference cigarette machines is 8-10 o 'clock in the evening, the turning-off time is 6-7 o' clock in the next day, the maximum range is taken as the standard, and the generated lighting rule is that turning-on is carried out 8 o 'clock in the evening to turning-off is carried out 7 o' clock in the morning. Of course, the lighting rule generated may also be on 9 o 'clock late to half off 6 o' clock early the next day, on average. The lighting rule may also be generated according to a minimum range from 10 o 'clock later to 6 o' clock earlier on the next day, which is not limited herein.

The lighting rules generated in any mode are initial lighting rules of the cigarette making machine and are not in line with user habits of target users, in order to enable the lighting rules of the cigarette making machine to be matched with the user habits of the target users better, the cigarette making machine is used for multiple times by the users, historical use data of the target users on the cigarette making machine is obtained, and the lighting rules are updated at least based on the historical use data.

Wherein the historical usage data of the target user comprises: one or more of date information, user information and operation time of the user to perform the lighting processing operation on the cigarette making machine.

In the embodiment of the invention, the target user can refer to a family, namely a plurality of family members in the same family correspond to the same lighting rule, and the living habits of the family are approximately consistent, so that the lighting rules of the cigarette making machine are basically consistent, therefore, different family members in the family can use the same lighting rule, and the control complexity can be reduced because the different family members do not need to be distinguished and identified.

Specifically, for an embodiment in which the target user is a family, the obtained historical usage data includes: the use date information of all family members in the family on the cigarette making machine and the operation time of all family members on the cigarette making machine to perform lighting processing operation; and performing machine learning training by using historical use data of one family to obtain the updated lighting rule for the one family.

For example, if the lighting rule for the first time the cigarette maker is operating is to turn on lighting at 6 pm and turn off lighting at 9 am the following day. After machine learning training through historical usage data obtained from 15-day usage interference of a household on a cigarette making machine, the updated lighting rules may be obtained as: lighting is turned on at 5 o 'clock and half at night, and lighting is turned off at 6 o' clock and half at night; the illumination is turned on at 11 points, and the illumination is turned off at 11 points by half; and the lighting is turned on at 7 points and turned off at 8 points in the next morning, so that the use habit of the family for lighting the cigarette machine is better met.

Of course, in order to control the lighting of the cigarette making machine more accurately according to the habits of different family members, the target user can also refer to a single family member in one family, that is, different family members in the same family correspond to different lighting rules.

For the case that the target user is a single family member, in order to distinguish historical usage data of different family members, the obtained historical usage data comprises: usage date information on which each family member performed the lighting processing operation, user information on which the lighting processing operation was performed (which family member is characterized by the lighting processing operation performed), and an operation time for which the family member performed the lighting processing operation; and performing machine learning training by using the historical use data of the single family member to obtain the updated lighting rule only aiming at the family member, so that each family member updates the lighting rule respectively.

For example, the lighting rule when the cigarette making machine operates for the first time is that 6 o 'clock in the evening, and 9 o' clock in the next morning, the lighting is turned off.

After historical use data obtained by 15-day use interference of two family members in a family on a cigarette machine is subjected to machine learning training, an updated lighting rule corresponding to one family member is obtained as follows: lighting is turned on at 5 o 'clock and half at night, and lighting is turned off at 6 o' clock and half at night; the illumination is turned on at 11 points, and the illumination is turned off at 11 points by half; the illumination was turned on at 7 am and off at 8 am on the next day. The updated lighting rule corresponding to the other family member is obtained as follows: at 8 o 'clock at night, the illumination is turned on, and at 9 o' clock the illumination is turned off; the lighting is turned on at 6 o 'clock and turned off at 6 o' clock in the next morning, so as to better accord with different use habits of different family members in the family on the lighting of the cigarette machine.

In some embodiments, to improve the accuracy of the lighting rules, the lighting rules may also be updated based on historical usage data in combination with scene data. Specifically, scene data of a target user for a smoke machine is obtained; the lighting rules are updated based on the historical usage data and the scene data.

The scene data can be acquired locally through a network and/or a smoke machine, and specifically, the scene data comprises one or more of the geographical position where the smoke machine is located and the weather condition. The geographical location may be city information, or regional information, or even cell information, and the weather condition may be weather that affects brightness, such as sunny weather, cloudy weather, or sandstorm.

When the lighting rule is updated based on the historical use data and the scene data of the target user, the historical use data is enhanced based on the scene data to obtain enhanced user use data, and then machine learning training is performed based on the enhanced user use data to obtain the updated lighting rule.

When performing machine learning training, the enhanced user usage data of the target user is used for performing machine learning training in a preset historical time period, such as: and may be half a month or a monthly history period.

After utilizing reinforcing user's use data to carry out machine learning training, the illumination rule control cigarette machine illumination that obtains is more accurate, distinguishes whether to be weekday, weather state, and the corresponding difference of illumination time range that corresponds:

by way of example of weekdays and weekdays: after machine learning training is performed with enhanced user usage data, the lighting rules are obtained as: the illumination time range on weekdays was (12: 00 pm-12: 30 pm, 8:00 morning-8: 30 morning), i.e.: the illumination is turned on at 12 o 'clock in the evening, the illumination is turned off at about 12 o' clock in half, the illumination is turned on at 8 o 'clock in the next morning, and the illumination is turned off at 8 o' clock in half. The illumination time range on the day of rest was (6: 00 pm-7: 00 pm, 7:00 am-8: 00 am), i.e.: lighting is turned on at 6 o 'clock and off at 7 o' clock at night; the illumination was turned on at 7 am and off at 8 am on the next day.

Following the example of weather conditions, after machine learning training with enhanced user usage data, the resulting lighting rules are: the range of lighting time on cloudy days was (5: 00 pm-6: 00 pm): at night 5 o 'clock the lighting was turned on and 6 o' clock the lighting was turned off. The illumination time range on a sunny day is (6: 00 evening to 6:30 night, the illumination is turned on at 6 o 'clock at night, and the illumination is turned off at 6 o' clock by half.

Through the implementation mode, the lighting rules can be updated periodically along with the continuous collection of the historical use data of the target user. The time range for controlling the on-off of the cigarette machine according to the lighting rule is correspondingly changed so as to better accord with the current use habit of the user.

In some embodiments, in order to reduce the computational complexity of the cigarette making machine and reduce the cost of the cigarette making machine, the updating process of the lighting rules is performed at the server, historical use data and scene data of a target user are collected at the server, machine learning training is performed on the historical use data and the scene data at the server, the lighting rules are updated, and the updated lighting rules are issued to the cigarette making machine.

In some embodiments, in the case that the target user is a family member and a plurality of lighting rules corresponding to a plurality of family members are stored for the same cigarette making machine, after the cigarette making machine is turned on based on the operation of the target user, the following steps are triggered to be executed: determining biometric information of a target user; and determining an illumination rule aiming at the target user from a plurality of illumination rules of the cigarette making machine according to the biological characteristic information.

Specifically, the biometric information specifically includes: fingerprint information or face image information.

For example, the lighting rules include grandpa, breast, dad mother and the like, if the mom performs the operation of turning on the cigarette machine, fingerprint information of the mom can be collected when the mom performs the operation, and therefore the lighting rule for the mom can be determined from the lighting rules based on the fingerprint information.

And S102, controlling the lighting state of the cigarette machine based on the lighting rule, and monitoring whether the target user performs lighting processing operation on the cigarette machine.

Specifically, the lighting of the cigarette machine is intelligently controlled to be turned on and/or turned off according to the lighting rule.

For example, the lighting rule is 5 o 'clock on lighting and 6 o' clock off lighting at night. The cigarette machine is controlled to be lighted on at 5 o 'clock and off at 6 o' clock according to the lighting rule.

In some embodiments, the current illumination time range is also obtained from the illumination rules for the target user according to whether the current day is a weekday and/or the current weather condition, and the illumination state of the range hood is controlled based on the current illumination time range.

Therefore, manual operation of a user is not needed, illumination of the cigarette machine is automatically switched on and off, great convenience is brought to the user, and meanwhile the problem of energy waste caused by the fact that the user forgets to turn off the illumination is avoided.

In the control process of the lighting state of the cigarette machine based on the lighting rule, the control process may be inaccurate, and the user can manually change the lighting state again, so that whether the target user has lighting processing operation on the lighting rule or not is monitored in real time in the control process of the lighting state of the cigarette machine based on the lighting rule.

For example, the lighting rules are 5 o 'clock on and 6 o' clock off in the morning. However, lighting was turned on at 5 am based on lighting rules, the user was monitored to turn lighting off half at 5 am, and so on. For another example, the lighting rules are 5 o 'clock on and 6 o' clock off in the morning. However, before turning on the lighting at 5 a.m., it was monitored that the user turned on the lighting at 4 a.m., and so on.

S103: and when it is monitored that the target user performs lighting processing operation on the range hood, controlling the lighting state of the range hood based on the lighting rule and the lighting processing operation.

For example, if the lighting rule for the target user is that lighting is turned on at 5 o ' clock and lighting is turned off at 6 o ' clock at night, when it is monitored that the target user performs lighting turning-off operation at 5 o ' clock, the lighting is controlled to be turned off at 5 o ' clock in response to the lighting turning-off operation at 5 o ' clock, and the lighting is no longer controlled to be turned off at 5 o ' clock in response to the lighting turning-off instruction at 6 o ' clock generated based on the lighting rule; if the target user is monitored to respond to the 4-point half-on lighting operation when the lighting is half-on at 4 points, and the lighting is controlled to be half-on at 4 points, the 5-point lighting-on instruction is not responded, but the lighting is still controlled to be off at 6 points in response to the 6-point lighting-off instruction generated by the lighting rule.

In some embodiments, in order to collect historical usage data, after monitoring whether a target user performs an illumination processing operation on a range hood, operational data of the illumination processing operation is recorded, specifically, the operational data includes: performing date information, user information, weather conditions, geographical location of the current recording lighting processing operation, and the performed time of turning on lighting and the performed time of turning off lighting; historical usage data to update the lighting rules is formed based on operation data of a plurality of lighting processing operations of the target user recorded over a historical period.

The cigarette machine not only can automatically realize the control of the illumination state based on the existing illumination rule, but also can control the illumination state of the cigarette machine based on the illumination rule and the illumination processing operation if the illumination processing operation of the cigarette machine is monitored to be executed by a target user in the process of controlling the illumination state of the cigarette machine based on the existing illumination rule, so that the cigarette machine is more intelligent.

In some embodiments, after a lighting treatment operation performed on a lighting rule by a target user is monitored, operation data of the lighting treatment operation is recorded.

Therefore, when historical use data of the target user on the cigarette making machine is obtained, the historical use data is formed based on operation data of multiple lighting processing operations of the target user recorded in a historical period.

Specifically, the strip of operation data is added to the operation data of the lighting processing operation performed on the cigarette making machine by the user, so that the historical usage data is updated.

For example, the lighting rule is that lighting is turned on at 5 am and lighting is turned off at 7 am, and when it is detected that the lighting rule of the target user is turned off at 6 am, the lighting processing operation (lighting is turned off at 6 am) is recorded. If operation data of the lighting processing operation of turning off the lighting at 6 am is monitored a plurality of times during a historical period (half a month or a month), historical usage data is formed.

Accordingly, the historical usage data may be updated as the lighting processing operations of the target user are being performed by the target user over time. As the historical usage data is continuously updated, the lighting rules corresponding to the target user are also continuously updated.

One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

the invention provides a method for controlling the lighting of a cigarette machine, which comprises the following steps: acquiring an illumination rule of a cigarette machine, wherein the illumination rule meets an illumination time range of a target user; controlling the lighting state of the cigarette machine based on the lighting rule, and monitoring whether a target user performs lighting processing operation on the cigarette machine; if, based on illumination rule and illumination processing operation, control the illumination state of cigarette machine for the cigarette machine realizes the intelligent control of cigarette machine illumination according to the illumination rule, has effectively avoided the user to waste because of forgetting the energy that causes, and has reduced user operation, and combines the illumination state of user operation change cigarette machine, can more accurately control cigarette machine illumination state, and then has improved the illumination control accuracy.

Based on the same inventive concept, the invention also provides a lighting control device of a cigarette making machine, as shown in fig. 2, comprising:

the acquisition module 201 is used for acquiring an illumination rule of the cigarette making machine, wherein the illumination rule meets an illumination time range of a target user;

the monitoring module 202 is used for controlling the lighting state of the cigarette making machine based on the lighting rule and monitoring whether the target user performs lighting processing operation on the cigarette making machine;

and the control module 203 is used for controlling the lighting state of the cigarette machine based on the lighting rule and the lighting processing operation if the lighting rule is positive.

In an optional implementation, the obtaining module 201 includes:

the first acquisition unit is used for acquiring the geographical position of the cigarette machine when the cigarette machine operates for the first time;

a generating unit for generating lighting rules for the cigarette making machine based on the geographical location.

In an alternative embodiment, the generating unit includes:

a first obtaining subunit configured to obtain reference lighting rules for N reference cigarette machines, the N reference cigarette machines being at the geographic location;

a generating subunit, configured to generate the lighting rule of the cigarette machine based on the reference lighting rule.

In an optional implementation manner, the generating unit further includes:

the second acquisition subunit is used for acquiring historical use data of the target user on the cigarette making machine;

a first updating subunit for updating the lighting rule based at least on the historical usage data.

In an alternative embodiment, the first update subunit comprises

The third acquisition subunit is used for acquiring scene data of the target user on the cigarette machine;

a second updating subunit for updating the lighting rule based on the historical usage data and scene data.

In an optional implementation, the second updating subunit includes:

the obtaining subunit is used for enhancing the historical use data based on the scene data to obtain enhanced user use data;

and the obtaining subunit is used for performing machine learning training based on the enhanced user usage data to obtain the updated lighting rule.

In an optional embodiment, the method further comprises:

a recording module for recording operational data of the lighting processing operation.

A second obtaining subunit configured to form the historical usage data based on operation data of a plurality of lighting processing operations of the target user recorded during a historical period.

In an alternative embodiment, the obtaining module 101 includes:

a first determination unit configured to determine biometric information of a target user;

and the second determination unit is used for determining the lighting rule aiming at the target user from the plurality of lighting rules of the cigarette machine according to the biological characteristic information.

In an alternative embodiment, the historical usage data includes: using one or more of date information, user information and operating data of the user performing lighting processing operations on the range hood;

the scene data includes: the range hood is located in one or more of the geographical position and the weather condition.

Based on the same inventive concept, the embodiment of the present invention provides a cigarette making machine, as shown in fig. 3, comprising a memory 304, a processor 302 and a computer program stored on the memory 304 and operable on the processor 302, wherein the processor 302 implements the steps of the above-mentioned cigarette making machine illumination control method when executing the program.

Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.

Based on the same inventive concept, embodiments of the present invention provide a computer-readable storage medium having stored thereon a computer program, which, when executed by a processor, performs the steps of the above-described method of controlling lighting of a range hood.

The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of the cigarette machine illumination control apparatus, some or all of the components in a cigarette machine in accordance with embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.