阅读说明：本技术 一种晾衣机异常报警方法、系统、电子设备及介质 (Clothes airing machine abnormity alarm method and system, electronic equipment and medium ) 是由 王妙玉 周亮 田红波 吴宁泉 于 2021-09-16 设计创作，主要内容包括：本发明公开了一种晾衣机异常报警方法、系统、电子设备及介质,所述方法包括：控制晾衣机进入检测流程；根据预先设置的异常判断标准,判断晾衣机是否处于异常；若判断异常,则获取晾衣机异常信息,并判断移动终端是否位于离晾衣机预设通信距离内；若是,则将所述晾衣机异常信息发送至移动终端；若否,则将所述晾衣机异常信息发送至云端。本发明无论移动终端是位于晾衣机近场场景还是远程,都可以实现移动终端与晾衣机的交互,将晾衣机异常报警信息推送至移动终端,从而实现无论用户在近场或远程,都可以实时快速接收晾衣机异常报信息,提高了用户的体验感。(The invention discloses an clothes airing machine abnormity alarm method, a system, electronic equipment and a medium, wherein the method comprises the following steps: controlling the clothes airing machine to enter a detection flow; judging whether the clothes airing machine is abnormal or not according to a preset abnormity judgment standard; if the mobile terminal is judged to be abnormal, acquiring abnormal information of the clothes airing machine, and judging whether the mobile terminal is located within a preset communication distance from the clothes airing machine; if so, sending the abnormal information of the clothes airing machine to a mobile terminal; and if not, sending the abnormal information of the clothes airing machine to a cloud. According to the invention, no matter whether the mobile terminal is located in a near-field scene or in a remote scene of the clothes airing machine, the interaction between the mobile terminal and the clothes airing machine can be realized, and the abnormal alarm information of the clothes airing machine is pushed to the mobile terminal, so that the abnormal alarm information of the clothes airing machine can be rapidly received in real time no matter whether a user is in the near-field scene or in the remote scene, and the experience of the user is improved.)

1. The clothes airing machine abnormity alarming method is characterized by comprising the following steps:

when a preset condition is met, controlling the clothes airing machine to enter a detection process;

judging whether the clothes airing machine is abnormal or not according to a preset abnormity judgment standard;

if the mobile terminal is judged to be abnormal, acquiring abnormal information of the clothes airing machine, and judging whether the mobile terminal is located within a preset communication distance from the clothes airing machine;

if so, sending the abnormal information of the clothes airing machine to a mobile terminal;

if not, the clothes airing machine abnormal information is sent to a cloud end, the cloud end determines the abnormal grade information of the clothes airing machine abnormal information according to preset abnormal grade classification information, the clothes airing machine abnormal information is processed according to the abnormal grade information, and the clothes airing machine abnormal information is sent to a mobile terminal.

2. The clothes airing machine abnormality alarming method according to claim 1, wherein if yes, after the step of sending the clothes airing machine abnormality information to the mobile terminal, the method further comprises the steps of:

the clothes airing machine or the mobile terminal judges the abnormal grade information of the abnormal information of the clothes airing machine according to the abnormal information of the clothes airing machine; and when the abnormal grade information reaches a preset condition, sending the abnormal information of the clothes airing machine to a clothes airing machine manufacturer.

3. The clothes airing machine abnormality alarming method according to claim 1, wherein the determining abnormality level information of the clothes airing machine abnormality information according to preset abnormality level classification information includes:

the abnormality level classification information includes abnormality information classified as serious abnormality and abnormality information classified as general abnormality; when the clothes airing machine abnormal information contains steel wire breakage and/or motor fault information, determining the abnormal grade information of the clothes airing machine abnormal information as serious abnormality; and when the clothes airing machine abnormal information comprises the information that clothes are hung overweight and/or clothes are hung blocked, determining the abnormal grade information of the clothes airing machine abnormal information as the common abnormality.

4. The clothes airing machine abnormality alarming method according to claim 3, wherein the processing of the clothes airing machine abnormality information according to the abnormality level information includes:

when the abnormal grade information of the clothes airing machine abnormal information is determined to be seriously abnormal, the cloud end sends the clothes airing machine abnormal information to a mobile terminal and a clothes airing machine manufacturer;

and when the abnormal grade information of the clothes airing machine abnormal information is determined to be normal abnormal, the cloud end sends the clothes airing machine abnormal information to the mobile terminal.

5. The clothes airing machine abnormity alarm method according to claim 1, wherein when a preset condition is met, the clothes airing machine is controlled to enter a detection process, and the method comprises the following steps:

when the clothes airing machine is successfully bound by the distribution network, controlling the clothes airing machine to enter a detection flow;

and/or controlling the clothes airing machine to enter a detection flow when the clothes airing machine is used for performing a lifting or disinfecting function; the detection process includes but is not limited to detecting whether the lifting motor is abnormal or not, whether the steel wire of the clothes airing machine works normally or not, and whether the clothes are overweight or not.

6. The clothes airing machine abnormity alarm method according to claim 1, wherein when a preset condition is met, the clothes airing machine is controlled to enter a detection process, and the method comprises the following steps:

controlling the clothes drying machine to detect the limit stroke of the clothes drying machine at regular time and/or when the using times of the clothes drying machine reach a preset threshold value; the limit travel of the clothes drying machine is the distance between the highest set point to which the clothes drying machine airing rod rises and the lowest set point to which the clothes drying machine airing rod falls.

7. An clothes airing machine abnormity alarming method is characterized by comprising the following steps:

presetting abnormal grade classification information;

receiving clothes airing machine abnormal information sent by a clothes airing machine when a mobile terminal is not located within a preset communication distance from the clothes airing machine;

determining abnormal grade information of the clothes airing machine abnormal information according to preset abnormal grade classification information;

and processing the abnormal information of the clothes airing machine according to the abnormal grade information.

8. The clothes airing machine abnormity alarm system is characterized by comprising a clothes airing machine, a mobile terminal and a cloud end, wherein the clothes airing machine is in communication connection with the cloud end; the clothes airing machine is in communication connection with the mobile terminal;

the clothes airing machine is used for entering a detection process when a preset condition is met; judging whether the clothes airing machine is abnormal or not according to a preset abnormity judgment standard; if the judgment result is abnormal, acquiring abnormal information of the clothes airing machine, and judging whether the distance between the clothes airing machine and the mobile terminal is within a preset communication distance from the clothes airing machine or not; if so, sending the abnormal information of the clothes airing machine to a mobile terminal; if not, sending the abnormal information of the clothes airing machine to a cloud end;

the cloud is used for presetting abnormal grade classification information; receiving clothes airing machine abnormal information sent by a clothes airing machine when a mobile terminal is not located within a preset communication distance from the clothes airing machine; determining abnormal grade information of the clothes airing machine abnormal information according to preset abnormal grade classification information; and processing the clothes airing machine abnormal information according to the abnormal grade information, and sending the clothes airing machine abnormal information to the mobile terminal.

9. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the clothes washer exception alert method of any one of claims 1-7.

10. A computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the clothes airing machine abnormality warning method according to any one of claims 1 to 7.

Technical Field

The invention relates to the technical field of airing machines, in particular to an airing machine abnormity alarm method, system, electronic equipment and medium.

Background

Along with the continuous progress of science and technology, intelligent products are continuously popularized in life, intelligent clothes airing machine products also gradually become necessities in life, the existing clothes airing machine abnormity alarm is generally used for alarming through a buzzer and is only suitable for a near-field scene (namely, when a user is located at a short distance from the clothes airing machine, the alarm information of the buzzer can be received), and when the user is in a long distance (for example, the user is located at a position where the alarm sound of the buzzer cannot be heard), the abnormity information of the clothes airing machine cannot be checked in real time, so that the abnormity of the clothes airing machine cannot be processed in time, great inconvenience is brought to the user, and the user experience is poor.

Disclosure of Invention

In view of the above technical problems, an object of the present invention is to provide a clothes drying machine abnormality alarming method, system, electronic device and medium, which solve the problem that when a user is at a remote location (for example, the user is at a location where the user cannot hear the alarm sound of a buzzer), the abnormality information of the clothes drying machine cannot be checked in real time.

The invention adopts the following technical scheme:

an abnormal alarming method for a clothes airing machine comprises the following steps:

when a preset condition is met, controlling the clothes airing machine to enter a detection process;

judging whether the clothes airing machine is abnormal or not according to a preset abnormity judgment standard;

if the mobile terminal is judged to be abnormal, acquiring abnormal information of the clothes airing machine, and judging whether the mobile terminal is located within a preset communication distance from the clothes airing machine;

if so, sending the abnormal information of the clothes airing machine to a mobile terminal;

if not, the clothes airing machine abnormal information is sent to a cloud end, the cloud end determines the abnormal grade information of the clothes airing machine abnormal information according to preset abnormal grade classification information, the clothes airing machine abnormal information is processed according to the abnormal grade information, and the clothes airing machine abnormal information is sent to a mobile terminal.

If yes, the clothes airing machine abnormal information is sent to the mobile terminal, and the following steps are included:

the clothes airing machine or the mobile terminal judges the abnormal grade information of the abnormal information of the clothes airing machine according to the abnormal information of the clothes airing machine; and when the abnormal grade information reaches a preset condition, sending the abnormal information of the clothes airing machine to a clothes airing machine manufacturer.

Optionally, the abnormality level classification information includes abnormality information classified as serious abnormality and abnormality information classified as general abnormality;

the determining the abnormal grade information of the abnormal information of the clothes airing machine according to the preset abnormal grade classification information comprises the following steps:

when the clothes airing machine abnormal information contains steel wire breakage and/or motor fault information, determining the abnormal grade information of the clothes airing machine abnormal information as serious abnormality; and when the clothes airing machine abnormal information comprises the information that clothes are hung overweight and/or clothes are hung blocked, determining the abnormal grade information of the clothes airing machine abnormal information as the common abnormality.

Optionally, the processing the clothes airing machine abnormal information according to the abnormal grade information includes:

when the abnormal grade information of the clothes airing machine abnormal information is determined to be seriously abnormal, the cloud end sends the clothes airing machine abnormal information to a mobile terminal and a clothes airing machine manufacturer;

and when the abnormal grade information of the clothes airing machine abnormal information is determined to be normal abnormal, the cloud end sends the clothes airing machine abnormal information to the mobile terminal.

Optionally, when meeting the preset condition, the clothes drying machine is controlled to enter the detection process, including:

when the airing machine is bound for the first time, controlling the airing machine to enter a detection process;

and/or controlling the clothes airing machine to enter a detection flow when the clothes airing machine is used for performing a lifting or disinfecting function; the detection process includes but is not limited to detecting whether the lifting motor is abnormal or not, whether the steel wire of the clothes airing machine works normally or not, and whether the clothes are overweight or not.

Optionally, when meeting the preset condition, the clothes drying machine is controlled to enter the detection process, including:

controlling the clothes drying machine to detect the limit stroke of the clothes drying machine at regular time and/or when the using times of the clothes drying machine reach a preset threshold value; the limit travel of the clothes drying machine is the distance between the highest set point to which the clothes drying machine airing rod rises and the lowest set point to which the clothes drying machine airing rod falls.

An clothes airing machine abnormity warning method comprises the following steps:

presetting abnormal grade classification information;

receiving clothes airing machine abnormal information sent by a clothes airing machine when a mobile terminal is not located within a preset communication distance from the clothes airing machine;

determining abnormal grade information of the clothes airing machine abnormal information according to preset abnormal grade classification information;

and processing the abnormal information of the clothes airing machine according to the abnormal grade information.

An clothes airing machine abnormity alarm system comprises a clothes airing machine, a mobile terminal and a cloud end, wherein the clothes airing machine is in communication connection with the cloud end; the clothes airing machine is in communication connection with the mobile terminal;

the clothes airing machine A is used for controlling the clothes airing machine to enter a detection process when a preset condition is met; judging whether the clothes airing machine is abnormal or not according to a preset abnormity judgment standard; if the judgment result is abnormal, acquiring abnormal information of the clothes airing machine, and judging whether the distance between the clothes airing machine and the mobile terminal is within a preset communication distance from the clothes airing machine or not; if so, sending the abnormal information of the clothes airing machine to a mobile terminal; if not, sending the abnormal information of the clothes airing machine to a cloud end;

the cloud is used for presetting abnormal grade classification information; receiving clothes airing machine abnormal information sent by a clothes airing machine when a mobile terminal is not located within a preset communication distance from the clothes airing machine; determining abnormal grade information of the clothes airing machine abnormal information according to preset abnormal grade classification information; and processing the clothes airing machine abnormal information according to the abnormal grade information, and sending the clothes airing machine abnormal information to the mobile terminal.

An electronic device, comprising: the clothes washing machine comprises at least one processor and a memory which is in communication connection with the at least one processor, wherein the memory stores instructions which can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the clothes washing machine abnormity alarming method.

A computer storage medium having stored thereon a computer program which, when executed by a processor, implements the clothes airing machine abnormality warning method.

Compared with the prior art, the invention has the beneficial effects that:

according to the method, whether the mobile terminal is located within a preset communication distance from the clothes airing machine is judged, and if yes, the abnormal information of the clothes airing machine is sent to the mobile terminal; if not, the clothes airing machine abnormal information is sent to the cloud end, and the cloud end is sent to the mobile terminal, so that interaction between the mobile terminal and the clothes airing machine can be achieved no matter the mobile terminal is located in a near-field scene or in a remote scene of the clothes airing machine, the clothes airing machine abnormal alarm information is pushed to the mobile terminal, and therefore no matter a user is located in the near-field scene or in the remote scene, the clothes airing machine abnormal alarm information can be rapidly received in real time, and the experience of the user is improved.

Furthermore, the abnormal information sent by the clothes airing machine is classified through the cloud end, and when the abnormal information is classified as common, for example, some abnormalities which can be solved by a user can be automatically sent to the mobile terminal, so that the user is prompted to carry out related operations, and the abnormalities are overcome; when the abnormal information is classified as serious, for example, some abnormal information which cannot be solved by the user is automatically sent to the mobile terminal, the abnormal information is sent to the clothes airing machine manufacturer, and the after-sale personnel of the clothes airing machine manufacturer can quickly and timely follow up the abnormal information, so that the user is prevented from contacting the after-sale personnel, the intelligence of the clothes airing machine is enhanced, the problem of the abnormal information of the clothes airing machine is solved as soon as possible, and the experience and satisfaction of the user can be improved.

Drawings

Fig. 1 is a schematic flow chart of an abnormal alarming method for a clothes airing machine according to an embodiment of the invention;

fig. 2 is a schematic flow chart of an abnormal alarming method for a clothes airing machine according to an embodiment of the invention;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The present invention will be further described with reference to the accompanying drawings and specific embodiments, and it should be noted that, in the premise of no conflict, the following described embodiments or technical features may be arbitrarily combined to form a new embodiment:

the first embodiment is as follows:

referring to fig. 1-3, fig. 1 shows an abnormal alarm method for a clothes drying machine, which is applied to a clothes drying machine APP and includes:

step S1, controlling the clothes airing machine to enter a detection process when a preset condition is met;

in this embodiment, optionally, when the preset condition is satisfied, controlling the clothes drying machine to enter the detection process may specifically include:

the clothes airing machine is successfully bound by the distribution network, and the clothes airing machine is controlled to enter a detection process;

in concrete application, the user carries out binding of airing machine and joining in marriage the net through airing machine APP on the mobile terminal, joins in marriage net and binds the back, need control airing machine and get into the detection flow, generally can carry out full examination to airing machine, detects whether all structures and each function of airing machine are normal.

And/or controlling the clothes airing machine to enter a detection flow when the clothes airing machine is used for performing a lifting or disinfecting function; the detection process includes but is not limited to detecting whether the lifting motor is abnormal or not, whether the steel wire of the clothes airing machine works normally or not, and whether the clothes are overweight or not.

In the specific application, after a user lifts a clothes airing machine or a sterilizing clothes airing machine, the clothes airing machine can be controlled to enter a detection process, and the structure and the function to be detected can be set by the user or can leave a factory after being set by a manufacturer.

Optionally, when the preset condition is met, controlling the clothes drying machine to enter the detection process may further include:

controlling the clothes drying machine to detect the limit stroke of the clothes drying machine at regular time and/or when the using times of the clothes drying machine reach a preset threshold value; the limit travel of the clothes drying machine is the distance between the highest set point to which the clothes drying machine airing rod rises and the lowest set point to which the clothes drying machine airing rod falls.

In specific application, the clothes airing machine is controlled to detect the limit stroke of the clothes airing machine at regular time or when the using times of the clothes airing machine reaches a preset threshold value, and the limit stroke is mainly used for timely monitoring the using state of the clothes airing machine so as to avoid influencing the use of a user, and therefore the experience and satisfaction of the user are improved.

Step S2, judging whether the clothes airing machine is abnormal or not according to a preset abnormal judgment standard;

in this implementation, the abnormality determination criterion may be specifically set by an operation and maintenance worker according to the performance mechanical energy of the clothes drying machine, for example, when the limit stroke of the clothes drying machine exceeds a preset error, it is determined that the clothes drying machine is abnormal; when the hanging weight of the clothes airing machine exceeds a preset error, judging that the clothes airing machine is abnormal; and when the steel wire of the clothes airing machine is broken, judging that the clothes airing machine is abnormal.

Step S3, if the abnormality is judged, acquiring abnormal information of the clothes airing machine, and judging whether the mobile terminal is located within a preset communication distance from the clothes airing machine;

in this embodiment, the clothes airing machine is provided with a WiFi module, a bluetooth module or a combo module (WiFi and bluetooth two-in-one module) and other communication modules.

For example, when the clothes airing machine is communicated with the mobile terminal through the Bluetooth module, when the clothes airing machine Bluetooth module is in near field connection with the mobile terminal Bluetooth, the Bluetooth communication is normal, and the mobile terminal is judged to be located within a preset communication distance from the clothes airing machine;

when the Bluetooth module of the mobile terminal cannot be searched by the Bluetooth module of the clothes airing machine, the Bluetooth module of the clothes airing machine cannot establish near field connection with the Bluetooth of the mobile terminal, the Bluetooth communication is abnormal, and the mobile terminal is judged not to be located in a preset communication distance from the clothes airing machine.

In the specific implementation, a Bluetooth module is installed on the clothes airing machine, if the communication distance of Bluetooth is about 8m, when the mobile terminal is located within the distance less than or equal to 8m, the clothes airing machine searches the Bluetooth module of the mobile terminal, the Bluetooth module of the clothes airing machine establishes near field connection with the Bluetooth of the mobile terminal, the Bluetooth communication is normal, and the mobile terminal is judged to be located within the preset communication distance from the clothes airing machine; for example, when the mobile terminal is located in a distance 7m away from the clothes drying machine, the abnormal information of the clothes drying machine can be directly sent to the mobile terminal through the Bluetooth module, so that a user can quickly know the abnormal information of the clothes drying machine in a short range;

when the mobile terminal is located within the distance larger than 8m, the clothes airing machine cannot search the Bluetooth module of the mobile terminal, the Bluetooth module of the clothes airing machine cannot establish near field connection with the Bluetooth of the mobile terminal, the Bluetooth communication is abnormal, and the mobile terminal is judged not to be located within the preset communication distance from the clothes airing machine. For example, when the mobile terminal is located 9m away from the clothes drying machine, the clothes drying machine abnormal information is sent to the cloud end through the WIFI module.

In this embodiment, the laundry machine abnormality information may include laundry machine fault information, laundry machine operating state information, and the like.

Step S41, if yes, sending the clothes airing machine abnormal information to the mobile terminal;

in this implementation, the preset communication distance is determined by the performance parameters of the clothes drying machine.

Optionally, after the step S41, the method further includes the following steps:

the clothes airing machine or the mobile terminal judges the abnormal grade information of the abnormal information of the clothes airing machine according to the abnormal information of the clothes airing machine; and when the abnormal grade information reaches a preset condition, sending the abnormal information of the clothes airing machine to a clothes airing machine manufacturer.

In this embodiment, the abnormal information level classification information may be determined by a clothes dryer end or a mobile terminal. The preset condition may be a severe abnormality.

For example, under the condition that the mobile terminal is located within the preset communication distance of the clothes airing machine, if the abnormal information level is judged to be a serious abnormal level by the clothes airing machine or the mobile terminal, the abnormal information can be sent to a clothes airing machine manufacturer or a monitoring platform through a cloud, and the clothes airing machine manufacturer or the monitoring platform processes the abnormal information.

And step S42, if not, sending the clothes airing machine abnormal information to a cloud end, determining the abnormal grade information of the clothes airing machine abnormal information by the cloud end according to preset abnormal grade classification information, and processing the clothes airing machine abnormal information according to the abnormal grade information.

Optionally, the abnormality level classification information includes abnormality information classified as a serious abnormality and abnormality information classified as a normal abnormality.

In practical application, the abnormal grade classification information is set on the cloud end in advance, and in the abnormal grade classification information, some abnormal information belongs to the abnormal information with serious abnormality, and some abnormal information belongs to the abnormal information with common abnormality.

The specific classification is serious abnormity or common abnormity, a severity threshold value can be specifically set by operation and maintenance personnel, and the threshold value can be specifically set after logic judgment according to the size of influence on the use of a user. For example, motor fault information is classified as severe anomaly, class a; the overweight information of the clothes hung on the clothes airing machine is classified into common abnormity and B type.

Specifically, the determining the abnormal grade information of the abnormal information of the clothes airing machine according to the preset abnormal grade classification information includes:

when the clothes airing machine abnormal information contains steel wire breakage and/or motor fault information, determining the abnormal grade information of the clothes airing machine abnormal information as serious abnormality;

and when the clothes airing machine abnormal information comprises the information that clothes are hung overweight and/or clothes are hung blocked, determining the abnormal grade information of the clothes airing machine abnormal information as the common abnormality.

Specifically, the processing the abnormal information of the clothes airing machine according to the abnormal grade information includes:

when the abnormal grade information of the clothes airing machine abnormal information is determined to be seriously abnormal, the cloud end sends the clothes airing machine abnormal information to a mobile terminal and a clothes airing machine manufacturer;

in the implementation process, if the user is seriously abnormal (such as the breakage of a steel wire of a clothes airing machine or the failure of a motor), the abnormal problems possibly affect the use of the user, and the cloud sends an abnormal information short message to the mobile terminal of the user, so that the abnormal alarm can be realized when the user is in a remote position; meanwhile, the cloud end also pushes the abnormal information to the after-sale personnel of the manufacturer to be processed after sale by the manufacturer, so that the user is prevented from contacting the after-sale personnel, the intelligence of the clothes airing machine is enhanced, the abnormal problem of the clothes airing machine is solved as soon as possible, and the experience and satisfaction of the user can be improved.

And when the abnormal grade information of the clothes airing machine abnormal information is determined to be normal abnormal, the cloud end sends the clothes airing machine abnormal information to the mobile terminal.

In specific application, if the user is in a remote state (usually, the user can check the information of the mobile terminal in time), the abnormal information is sent to the user mobile terminal, so that abnormal alarm can be realized, the user can know the abnormal information in time, and the abnormal problem of the clothes drying machine is solved, for example, a part of hung clothes is taken down.

In the implementation process, whether the mobile terminal is located within a preset communication distance from the clothes airing machine is judged, and if yes, the abnormal information of the clothes airing machine is sent to the mobile terminal; if not, the clothes airing machine abnormal information is sent to the cloud end, and the cloud end is sent to the mobile terminal, so that interaction between the mobile terminal and the clothes airing machine can be achieved no matter whether the mobile terminal is located in a near-field scene or in a remote scene of the clothes airing machine, the clothes airing machine abnormal alarm information is pushed to the mobile terminal, and therefore no matter whether a user is in the near-field scene or in the remote scene, the clothes airing machine abnormal alarm information can be rapidly received in real time, and the experience of the user is improved.

As another embodiment, referring to fig. 2, fig. 2 shows an abnormal alarm method for a clothes airing machine according to an embodiment, which is applied to a cloud, and includes:

step S10, presetting abnormal grade classification information;

step S20, receiving abnormal information of the clothes drying machine sent by the clothes drying machine when the mobile terminal is not located within a preset communication distance from the clothes drying machine;

step S30, determining the abnormal grade information of the clothes airing machine abnormal information according to preset abnormal grade classification information;

and step S40, processing the abnormal information of the clothes airing machine according to the abnormal grade information, wherein the processing comprises the steps of sending the abnormal information to the mobile terminal and the clothes airing machine manufacturer at the same time.

Example two:

the clothes airing machine abnormity alarm system comprises a clothes airing machine, a mobile terminal and a cloud end, wherein the clothes airing machine is in communication connection with the cloud end; the clothes airing machine is in communication connection with the mobile terminal;

the clothes airing machine is used for controlling the clothes airing machine to enter a detection process when a preset condition is met; judging whether the clothes airing machine is abnormal or not according to a preset abnormity judgment standard; if the judgment result is abnormal, acquiring abnormal information of the clothes airing machine, and judging whether the distance between the clothes airing machine and the mobile terminal is within a preset communication distance from the clothes airing machine or not; if so, sending the abnormal information of the clothes airing machine to a mobile terminal; if not, sending the abnormal information of the clothes airing machine to a cloud end;

optionally, when the mobile terminal is located within a preset communication distance from the clothes airing machine, the abnormal information of the clothes airing machine is directly sent to the mobile terminal through the bluetooth module, so that a user can quickly know the abnormal information of the clothes airing machine in a short range.

And when the mobile terminal is not located within a preset communication distance from the clothes airing machine, sending the abnormal information of the clothes airing machine to a cloud end through the WIFI module.

The cloud is used for presetting abnormal grade classification information; receiving clothes airing machine abnormal information sent by a clothes airing machine when a mobile terminal is not located within a preset communication distance from the clothes airing machine; determining abnormal grade information of the clothes airing machine abnormal information according to preset abnormal grade classification information; and processing the abnormal information of the clothes airing machine according to the abnormal grade information.

In the implementation process, the clothes airing machine A communicates with the mobile terminal or the cloud through the Bluetooth or WiFi module based on a Bluetooth protocol, an MQTT or HTTPS communication protocol, and by the anomaly alarm method based on the Internet of things, interaction with the clothes airing machine can be achieved no matter the mobile terminal is located in a near field or in a remote field of the clothes airing machine, anomaly alarm information is pushed to the mobile terminal, so that the anomaly alarm information of the clothes airing machine can be rapidly received in real time no matter a user is located in the near field or in the remote field, and the experience of the user is improved.

Example three:

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and in the present application, an electronic device 100 for implementing an abnormality alarm method for a clothes airing machine according to an embodiment of the present application may be described by using the schematic diagram shown in fig. 3.

As shown in fig. 3, an electronic device 100 includes one or more processors 102, one or more memory devices 104, and the like, which are interconnected via a bus system and/or other type of connection mechanism (not shown). It should be noted that the components and structure of the electronic device 100 shown in fig. 3 are only exemplary and not limiting, and the electronic device may have some of the components shown in fig. 3 and may have other components and structures not shown in fig. 3 as needed.

The processor 102 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 100 to perform desired functions.

The storage 104 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. On which one or more computer program instructions may be stored that may be executed by processor 102 to implement the functions of the embodiments of the application (as implemented by the processor) described below and/or other desired functions. Various applications and various data, such as various data used and/or generated by the applications, may also be stored in the computer-readable storage medium.

The invention also provides a computer storage medium on which a computer program is stored, in which the method of the invention, if implemented in the form of software functional units and sold or used as a stand-alone product, can be stored. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer storage medium and used by a processor to implement the steps of the embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer storage medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer storage media may include content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer storage media that does not include electrical carrier signals and telecommunications signals as subject to legislation and patent practice.

Various other modifications and changes may be made by those skilled in the art based on the above-described technical solutions and concepts, and all such modifications and changes should fall within the scope of the claims of the present invention.