Self-cleaning time determination method, server, air conditioning equipment and storage medium

Abstract

The invention discloses a self-cleaning time determining method, a server, air conditioning equipment and a storage medium, the method is applied to a network server, the method comprises the steps that reported feature data of an air conditioner are received, and the feature data comprise one or more of equipment information and operation data of the air conditioner; a self-cleaning time estimation model is created for the air conditioner based on the feature data of the air conditioner and the actual time when the air conditioner executes self-cleaning for the first time; and under the condition that it is determined that the self-cleaning of the air conditioner is started again, the estimated time of the self-cleaning of the air conditioner at this time is determined based on a self-cleaning time estimation model of the air conditioner, and the estimated time is sent to the air conditioner equipment to be displayed. The technical scheme provided by the invention aims to solve the technical problem that the time required for executing the self-cleaning process cannot be prompted to a user in advance in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and in particular to a method for determining a self-cleaning time, a server, an air conditioning device and a storage medium. Background Art

[0002] Most current air conditioners have a self-cleaning mode. When the air conditioner enters the self-cleaning mode, it automatically completes a set of self-cleaning processes to ensure the cleanliness of the air conditioner and provide users with a comfortable and healthy use environment.

[0003] However, the current self-cleaning process cannot prompt the user in advance the time required to execute the self-cleaning process, and can only display the required time after the self-cleaning process is completed. Summary of the invention

[0004] The main purpose of the present invention is to provide a self-cleaning time determination method, server, air conditioning equipment and storage medium, aiming to solve the existing technical problem of being unable to prompt the user in advance the time required to execute the self-cleaning process.

[0005] To achieve the above object, the present application provides a method for determining a self-cleaning time, which is applied to a network server, and the method comprises:

[0006] receiving reported characteristic data of the air conditioner, wherein the characteristic data includes one or more of equipment information and operation data of the air conditioner;

[0007] creating a self-cleaning time estimation model for the air conditioner based on the characteristic data of the air conditioner and the actual time when the air conditioner first performs self-cleaning;

[0008] When it is determined that the air conditioner starts self-cleaning again, the estimated time of the self-cleaning of the air conditioner is determined based on the self-cleaning time estimation model of the air conditioner, and the estimated time is sent to the air conditioning device for display.

[0009] Preferably, the method further comprises:

[0010] When the air conditioner starts self-cleaning for the first time, searching for a self-cleaning time estimation model of an air conditioner of the same type as the air conditioner;

[0011] Determining an estimated time for the self-cleaning of the air conditioner based on the self-cleaning time estimation model found, and sending the estimated time to an information display device of the air conditioner;

[0012] The same type of air conditioner as the air conditioner is determined by comparing the device information of the air conditioner with the device information of the air conditioner for which the self-cleaning time estimation model has been created.

[0013] Preferably, the device information includes classification information of the air conditioner, and the classification information includes part or all of the model, installation location and installation area of ​​the air conditioner;

[0014] The same type of air conditioner as the air conditioner refers to an air conditioner having the same classification information as the air conditioner.

[0015] Preferably, the actual time when the air conditioner performs self-cleaning for the first time includes: the duration of each stage of self-cleaning, and / or the total duration of self-cleaning;

[0016] The estimated time for the self-cleaning of the air conditioner this time includes: the estimated duration of each stage of the self-cleaning, and / or the estimated total duration of the self-cleaning.

[0017] Preferably, determining the estimated time of the self-cleaning of the air conditioner based on the self-cleaning time estimation model of the air conditioner includes:

[0018] At least part of the reported characteristic data of the air conditioner is used as input data of a self-cleaning time estimation model of the air conditioner, and the estimated self-cleaning time of the air conditioner is obtained from the output data of the self-cleaning time estimation model of the air conditioner.

[0019] Preferably, the actual time when the air conditioner performs self-cleaning for the first time is actively reported to the network server after the air conditioner completes the first self-cleaning; or

[0020] The actual time when the air conditioner performs self-cleaning for the first time is obtained by: the network server determines that the air conditioner performs self-cleaning for the first time, notifies the air conditioner to report the actual time when the air conditioner performs self-cleaning for the first time; and receives the actual time when the air conditioner performs self-cleaning for the first time reported by the air conditioner.

[0021] Preferably, the network server stores a trained universal self-cleaning time estimation model, and the output data of the universal self-cleaning time estimation model includes an estimated time for self-cleaning;

[0022] The method of creating a self-cleaning time estimation model for the air conditioner includes: taking at least part of the reported characteristic data of the air conditioner as input data, taking the actual time when the air conditioner performs self-cleaning for the first time as target data, training a universal self-cleaning time estimation model, and using the trained model as the self-cleaning time estimation model created for the air conditioner.

[0023] Preferably, after creating a self-cleaning time estimation model for the air conditioner, the method further comprises:

[0024] receiving an actual time when the air conditioner performs self-cleaning;

[0025] The self-cleaning time estimation model of the air conditioner is continuously trained according to the received actual time when the air conditioner performs self-cleaning, so as to optimize the parameters of the self-cleaning time estimation model of the air conditioner.

[0026] The present application also provides a method for determining a self-cleaning time, which is applied to air conditioning equipment, and the method comprises:

[0027] Reporting characteristic data of the air conditioner to a network server, wherein the characteristic data includes one or more of equipment information and operation data of the air conditioner;

[0028] When the air conditioner starts self-cleaning, an estimated time of the self-cleaning is received from the network server, and the estimated time of the self-cleaning is displayed.

[0029] Preferably, the estimated time of self-cleaning includes: the estimated duration of each stage of self-cleaning, and / or the estimated total duration of self-cleaning;

[0030] In the case where the estimated time of self-cleaning includes the estimated duration of each stage of self-cleaning, the estimated time of self-cleaning is displayed, including:

[0031] Before performing a self-cleaning, the estimated time to perform each stage of the self-cleaning is displayed; or, before performing each stage of the self-cleaning, the estimated time to perform the stage is displayed.

[0032] Preferably, the operating data of the air conditioner includes any one or more of the following data: operating mode, operating temperature, operating wind speed, self-cleaning state, and actual time of performing self-cleaning;

[0033] The actual time of performing self-cleaning at least includes the actual time of performing self-cleaning for the first time; the actual time of performing self-cleaning includes: the duration of each stage of self-cleaning, and / or the total duration of self-cleaning.

[0034] Preferably, the estimated time of self-cleaning is determined by the network server according to any of the above methods for determining the self-cleaning time;

[0035] The air conditioning equipment includes: the air conditioner, and / or, an information display device of the air conditioner; wherein the information display device of the air conditioner is a terminal device bound to the air conditioner and capable of displaying self-cleaning information of the air conditioner.

[0036] The present application also provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the self-cleaning time determination method applied to the network server as described above, or to implement the self-cleaning time determination method applied to the air-conditioning equipment as described above.

[0037] The present application also provides a network server, including a memory and a processor, wherein the memory stores a program, and when the program is read and executed by the processor, the self-cleaning time determination method applied to the network server as described above is implemented.

[0038] The present application also provides an air-conditioning device, including a memory and a processor, wherein the memory stores a program, and when the program is read and executed by the processor, the method for determining the self-cleaning time applied to the air-conditioning device as described above is implemented.

[0039] In the technical solution of the present invention, the network server establishes a self-cleaning time estimation model for the air conditioner based on the received characteristic data of the air conditioner and the actual time when the air conditioner performs self-cleaning for the first time; when the air conditioner starts self-cleaning again, the self-cleaning time is estimated for the air conditioner based on the established model, which makes it possible to prompt the user in advance the time required for the air conditioner to perform the self-cleaning process; and, the network server establishes a self-cleaning time estimation model according to the characteristics of each air conditioner and the actual time when self-cleaning is performed, which also ensures the accuracy of the estimated self-cleaning time of the air conditioner determined based on the model. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0041] Figure 1 A flow chart of a method for determining a self-cleaning time for a network server provided in an embodiment of the present invention;

[0042] Figure 2 A flow chart of another method for determining the self-cleaning time of a network server provided in an embodiment of the present invention;

[0043] Figure 3 A flow chart of a method for determining a self-cleaning time for an air-conditioning device provided in an embodiment of the present invention;

[0044] Figure 4A module diagram of a network server and air conditioning equipment provided in an embodiment of the present invention.

[0045] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0048] In addition, in the present invention, descriptions such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0049] In the present invention, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0050] In addition, the technical solutions between the various embodiments of the present invention can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0051] After the air conditioner has been used for a period of time, a large amount of dust, dirt, viruses and other harmful substances will accumulate on the filter and heat sink. These harmful substances will be blown into the room during the use of the air conditioner, affecting the health of the air conditioner user, causing respiratory diseases, skin diseases, etc., which are harmful to human health. In addition, the dirt in the air conditioner will also hinder the air conditioner circulation process, causing the air conditioner working pressure to increase, the compressor operating load to increase, affecting the air conditioner's cooling and heating efficiency, and increasing power consumption. Therefore, after the air conditioner has been used for a period of time, it is necessary to execute the self-cleaning mode to remove harmful substances in the air conditioner.

[0052] Existing air conditioners are unable to display the usage time in advance when executing the self-cleaning mode; after turning on the self-cleaning mode of the air conditioner, the user cannot know when the self-cleaning mode will end, nor can the user know which stage the self-cleaning has reached. The user can only know whether the self-cleaning mode is in operation or has ended by constantly checking the air conditioner display screen, which results in a poor user experience.

[0053] In this regard, the present application embodiment provides a method for determining a self-cleaning time, which can be applied to a network server, such as Figure 1 As shown, the method includes:

[0054] Step S100: The network server receives reported characteristic data of the air conditioner, wherein the characteristic data includes one or more of equipment information and operation data of the air conditioner;

[0055] The characteristic data of the air conditioner can be reported to the network server by the air conditioner, or can be reported to the network server by the information display device of the air conditioner; the information display device of the air conditioner is a terminal device bound to the air conditioner and capable of displaying the self-cleaning information of the air conditioner;

[0056] Step S101: the network server creates a self-cleaning time estimation model for the air conditioner based on the characteristic data of the air conditioner and the acquired actual time when the air conditioner performs self-cleaning for the first time;

[0057] Step S102: when the network server determines that the air conditioner starts self-cleaning again, the network server determines the estimated time of the self-cleaning of the air conditioner based on the self-cleaning time estimation model of the air conditioner, and sends the estimated time to the air conditioner for display;

[0058] The air conditioning device may be an air conditioner, and / or an information display device of the air conditioner;

[0059] The network server and the air conditioning equipment can be connected via the Internet of Things.

[0060] In an embodiment of the present application, the network server establishes a self-cleaning time estimation model for the air conditioner based on the received characteristic data of the air conditioner and the actual time when the air conditioner performs self-cleaning for the first time; when the air conditioner starts self-cleaning again, the self-cleaning time is estimated for the air conditioner based on the established model, which makes it possible to prompt the user in advance the time required for the air conditioner to perform the self-cleaning process; and, the network server establishes a self-cleaning time estimation model based on the characteristics of each air conditioner and the actual time when self-cleaning is performed, which also ensures the accuracy of the estimated self-cleaning time of the air conditioner determined based on the model.

[0061] In an exemplary embodiment, the device information may include: classification information and working power of the air conditioner; wherein the classification information of the air conditioner may include: model of the air conditioner and installation information of the air conditioner; the installation information of the air conditioner may include: installation area (geographical area, such as city, county, district, etc.) and / or installation location (bedroom, living room, etc.) of the air conditioner;

[0062] Different models of equipment may be implemented with different hardware and software, and different hardware and software implementations may cause differences in the time it takes for the air conditioner to perform self-cleaning. In addition, the southern region is more humid than the northern region, and air conditioners installed in the southern region are more likely to breed bacteria. Air conditioners installed in the living room have longer operating hours, higher operating frequencies, and more diverse working modes than those installed in the bedroom, and are more likely to breed bacteria. Therefore, air conditioners with different installation information may also have different self-cleaning times.

[0063] The operation data of the air conditioner includes any one or more of the following data:

[0064] Operation mode, operation temperature, operation wind speed, self-cleaning state, actual time of performing self-cleaning; wherein the types of operation modes may include cooling mode, heating mode, fan mode and dehumidification mode;

[0065] The actual time of performing self-cleaning at least includes the actual time of performing self-cleaning for the first time;

[0066] The actual time for executing the self-cleaning includes: the duration of each stage of the self-cleaning, and / or the total duration of the self-cleaning.

[0067] In an exemplary embodiment, based on the characteristic data of the air conditioner and the actual time when the air conditioner performs self-cleaning for the first time, a self-cleaning time estimation model is created for the air conditioner, including:

[0068] Taking at least part of the reported characteristic data of the air conditioner as input data and the actual time when the air conditioner performs self-cleaning for the first time obtained by the network server as target data, the universal self-cleaning time estimation model stored in the network server is trained, and the trained model is used as the self-cleaning time estimation model created for the air conditioner; wherein the output data of the universal self-cleaning time estimation model includes the estimated time of self-cleaning.

[0069] The at least part of the characteristic data refers to the characteristic data within a preset time range, and the preset time range may be N days, M hours, or K minutes; N, M, and K are all set values.

[0070] The training process of the general air conditioner self-cleaning time estimation model may include:

[0071] Acquiring characteristic data of a plurality of sample air conditioners and actual times when the plurality of sample air conditioners perform self-cleaning;

[0072] The characteristic data of the multiple sample air conditioners are used as input data of the universal air conditioner self-cleaning time estimation model, and the actual time when the multiple sample air conditioners perform self-cleaning is used as target output data of the universal air conditioner self-cleaning time estimation model. A loss function is determined according to the actual output data of the universal air conditioner self-cleaning time estimation model and the target output data; the parameters of the universal air conditioner self-cleaning time estimation model are adjusted until the loss function meets the preset convergence target, thereby completing the training of the universal air conditioner self-cleaning time estimation model.

[0073] The sample air conditioner can be from an experimental environment or a real use environment.

[0074] In an exemplary embodiment, a method for obtaining the actual time when the air conditioner performs self-cleaning for the first time may include: after the air conditioner performs the first self-cleaning, actively reporting it to the network server; or, after the network server determines that the air conditioner performs self-cleaning for the first time, notifying the air conditioner to report the actual time when the air conditioner performs self-cleaning for the first time; and, receiving the actual time when the air conditioner performs self-cleaning for the first time reported by the air conditioner.

[0075] In an exemplary embodiment, the network server may determine whether the air conditioner is performing the self-cleaning mode for the first time or not for the first time according to the reported device information and operation data of the air conditioner.

[0076] In an exemplary embodiment, the actual time when the air conditioner performs self-cleaning for the first time may include: the duration of each stage of self-cleaning, and / or the total duration of self-cleaning (the sum of the durations of all stages of self-cleaning). The self-cleaning processing stages may include: refrigeration frosting, heating defrosting, air drying and sterilization. The execution duration of each processing stage of the self-cleaning mode is different.

[0077] In an exemplary embodiment, when the air conditioner starts self-cleaning again, the estimated time for self-cleaning of the air conditioner determined based on the self-cleaning time estimation model of the air conditioner may also include: the estimated duration of each stage of self-cleaning, and / or the estimated total duration of self-cleaning.

[0078] In an exemplary embodiment, the method further comprises:

[0079] After creating the self-cleaning time estimation model for the air conditioner, the actual time when the air conditioner performs self-cleaning is further received (the actual time when the air conditioner performs self-cleaning that is continuously received is derived from the actual execution time after the air conditioner subsequently starts self-cleaning again);

[0080] The self-cleaning time estimation model of the air conditioner is continuously trained according to the received actual time when the air conditioner performs self-cleaning, so as to optimize the parameters of the self-cleaning time estimation model of the air conditioner.

[0081] In this embodiment, when the network server determines that the air conditioner starts self-cleaning again, it can not only estimate the self-cleaning time for the air conditioner based on the existing self-cleaning time estimation model of the air conditioner, but also optimize the self-cleaning time estimation model of the air conditioner, thereby improving the accuracy of the self-cleaning time estimated based on the model when the air conditioner starts self-cleaning next time.

[0082] The present application also provides a method for determining a self-cleaning time, which is applied to a network server, such as Figure 2 As shown, the method includes:

[0083] Step S200: The network server receives reported characteristic data of the air conditioner, wherein the characteristic data includes one or more of equipment information and operation data of the air conditioner;

[0084] The characteristic data of the air conditioner can be reported to the network server by the air conditioner, or can be reported to the network server by the information display device of the air conditioner; the information display device of the air conditioner is a terminal device bound to the air conditioner and capable of displaying the self-cleaning information of the air conditioner;

[0085] Step S201, when it is determined that the air conditioner starts self-cleaning for the first time, searching for a self-cleaning time estimation model of an air conditioner of the same type as the air conditioner;

[0086] Step S202 determines the estimated time of the air conditioner's self-cleaning based on the self-cleaning time estimation model found, and feeds back the estimated time;

[0087] Step S203: receiving and reporting the actual time of the first self-cleaning execution reported by the air conditioner;

[0088] Step S204: creating a self-cleaning time estimation model for the air conditioner based on the characteristic data of the air conditioner and the actual time when the air conditioner performs self-cleaning for the first time;

[0089] Step S205 determines that when the air conditioner starts self-cleaning again, an estimated time for the self-cleaning of the air conditioner is determined based on the self-cleaning time estimation model of the air conditioner, and the estimated time is sent to the air conditioner for display;

[0090] The air conditioning equipment may include: an air conditioner, and / or an information display device of the air conditioner;

[0091] The network server and the air conditioning equipment can be connected via the Internet of Things.

[0092] In an embodiment of the present application, when determining that self-cleaning is started for the first time, the network server will look for a self-cleaning time estimation model for similar air conditioners of the air conditioner, and based on the self-cleaning time estimation model for similar air conditioners, feedback the estimated time for the first self-cleaning execution, thereby satisfying the requirement of obtaining the estimated self-cleaning time when the air conditioner performs self-cleaning for the first time; after obtaining the actual time when the air conditioner performs self-cleaning for the first time, a self-cleaning time estimation model is established for the air conditioner according to the received characteristic data of the air conditioner and the actual time when the air conditioner performs self-cleaning for the first time; when the air conditioner starts self-cleaning again, the self-cleaning time is estimated for the air conditioner based on the established model, thereby providing the possibility of prompting the user in advance of the time required for the air conditioner to execute the self-cleaning process; and, the network server establishes a self-cleaning time estimation model according to the characteristics of each air conditioner and the actual time when self-cleaning is performed, thereby ensuring the accuracy of the estimated self-cleaning time of the air conditioner determined based on the model.

[0093] In an exemplary embodiment, the device information may include: classification information and working power of the air conditioner; wherein the classification information of the air conditioner may include: model of the air conditioner and installation information of the air conditioner; the installation information of the air conditioner may include: installation area (geographical area, such as city, county) and / or installation location (bedroom, living room, etc.) of the air conditioner;

[0094] Different models of equipment may be implemented with different hardware and software, and different hardware and software implementations may cause differences in the time it takes for the air conditioner to perform self-cleaning. In addition, the southern region is more humid than the northern region, and air conditioners installed in the southern region are more likely to breed bacteria. Air conditioners installed in the living room have longer operating hours, higher operating frequencies, and more diverse working modes than those installed in the bedroom, and are more likely to breed bacteria. Therefore, air conditioners with different installation information may also have different self-cleaning times.

[0095] The operation data of the air conditioner includes any one or more of the following data:

[0096] Operation mode, operation temperature, operation wind speed, self-cleaning state, actual time of performing self-cleaning; wherein the types of operation modes may include cooling mode, heating mode, fan mode and dehumidification mode;

[0097] The actual time of performing self-cleaning at least includes the actual time of performing self-cleaning for the first time;

[0098] The actual time for executing the self-cleaning includes: the duration of each stage of the self-cleaning, and / or the total duration of the self-cleaning.

[0099] In an exemplary embodiment, the same type of air conditioner is determined by comparing the device information of the air conditioner with the device information of the air conditioner for which the self-cleaning time estimation model has been created. Exemplarily, when the classification information of two air conditioners is the same, the two air conditioners are considered to be of the same type, such as if the air conditioner for which the self-cleaning time estimation model has been created has the same model, installation area and installation position as the air conditioner for which the self-cleaning time estimation model has not been created, the two are considered to be of the same type.

[0100] The above-mentioned embodiments of the present application are illustrated below with a specific application example.

[0101] The network server receives the characteristic data reported by the first air conditioner;

[0102] The network server determines, based on the characteristic data of the first air conditioner, that the first air conditioner starts self-cleaning for the first time, and the network server does not find the self-cleaning time estimation model of the first air conditioner in the self-cleaning time estimation models of the air conditioners stored in the network server;

[0103] The network server searches for an air conditioner of the same type as the first air conditioner, that is, a second air conditioner, according to the classification information contained in the characteristic data reported by the first air conditioner, and also searches for a self-cleaning time estimation model for the second air conditioner;

[0104] The network server inputs the characteristic data of the first air conditioner into the cleaning time estimation model of the second air conditioner to obtain the estimated time of the first self-cleaning execution of the first air conditioner, sends the estimated time of the first self-cleaning execution to the first air conditioner for display, and notifies the first air conditioner to report the actual time of the first self-cleaning execution after the first self-cleaning execution;

[0105] After receiving the actual time of first self-cleaning execution reported by the first air conditioner, the network server creates a self-cleaning time estimation model for the first air conditioner based on the characteristic data of the first air conditioner and the actual time of first self-cleaning execution of the first air conditioner;

[0106] The network server continues to receive the characteristic data reported by the first air conditioner;

[0107] The network server determines that this is not the first time that the first air conditioner is started for self-cleaning based on the characteristic data reported by the first air conditioner. The network server determines the estimated time for the self-cleaning of the first air conditioner based on the self-cleaning time estimation model that has been created for the first air conditioner, and sends the estimated time to the first air conditioner for display.

[0108] The present application also provides a method for determining a self-cleaning time, which is applied to air conditioning equipment, such as Figure 3 As shown, the method includes:

[0109] Step S300 reports characteristic data of the air conditioner to the network server, wherein the characteristic data includes one or more of equipment information and operation data of the air conditioner;

[0110] The air conditioning equipment can communicate with the network server through the Internet of Things;

[0111] Step S301: When the air conditioner starts self-cleaning, an estimated time of the self-cleaning is received from the network server, and the estimated time of the self-cleaning is displayed.

[0112] The self-cleaning time determination method recorded in the embodiment of the present application enables the air-conditioning equipment to obtain its estimated self-cleaning time from a network server when the air-conditioning equipment starts the self-cleaning mode, thereby achieving the purpose of prompting the user in advance the time required to execute the self-cleaning process.

[0113] In an exemplary embodiment, the estimated time of the self-cleaning includes: the estimated duration of each stage of the self-cleaning, and / or the estimated total duration of the self-cleaning;

[0114] In the case where the estimated time of self-cleaning includes the estimated duration of each stage of self-cleaning, the estimated time of self-cleaning is displayed, including:

[0115] Before executing self-cleaning, the estimated time for executing each stage of self-cleaning is displayed, such as: refrigeration frosting is estimated to execute XX minutes, heating defrosting is estimated to execute XX minutes, air interference is estimated to execute XX minutes, and sterilization is estimated to execute XX minutes;

[0116] Or, before executing each self-cleaning stage, the estimated time for executing the stage is displayed. For example, before executing refrigeration frosting, it is displayed: Refrigeration frosting is estimated to be executed in XX minutes.

[0117] The self-cleaning processing stages may include: refrigeration frosting, heating defrosting, air drying and sterilization. First, the air conditioner evaporator is frosted through the refrigeration frosting stage, and the attached dust and bacteria are wrapped in the frost. Then, the frost is heated into water through the heating defrosting stage, and the dust and bacteria are discharged with the water; then, through the air drying stage and the sterilization stage, the evaporator is prevented from getting wet and bacteria are re-bacterized, thereby improving the cleaning effect. The execution time of each processing stage of the self-cleaning mode is different. Before entering the self-cleaning processing stage, the execution time of the processing stage is obtained and displayed to the user. This can help the user understand the time taken for each stage of the self-cleaning model. The user can also estimate the self-cleaning process based on the stage time, thereby improving the user experience.

[0118] In an exemplary embodiment, the operation data of the air conditioner includes any one or more of the following data:

[0119] Operation mode, operation temperature, operation wind speed, self-cleaning status, actual time of executing self-cleaning;

[0120] The actual time of performing self-cleaning at least includes the actual time of performing self-cleaning for the first time;

[0121] The actual time for executing the self-cleaning includes: the duration of each stage of the self-cleaning, and / or the total duration of the self-cleaning.

[0122] In an exemplary embodiment, the estimated time of the self-cleaning received from the network server is determined by the network server according to the self-cleaning time determination method applied to the network server as described in any of the previous embodiments.

[0123] In an exemplary embodiment, the method further comprises:

[0124] When the air conditioner completes self-cleaning, the actual time of executing the self-cleaning is reported to the network server.

[0125] In the embodiment of the present application, by reporting the actual time of performing self-cleaning to the network server, it can help the network server to create and optimize the self-cleaning time estimation model of the air conditioner, thereby providing the possibility of obtaining accurate self-cleaning estimation time through the self-cleaning time estimation model of the air conditioner.

[0126] In an exemplary embodiment, the air conditioning device may include: the air conditioner, and / or, an information display device of the air conditioner;

[0127] Wherein, the information display device of the air conditioner is a terminal device bound to the air conditioner and capable of displaying the self-cleaning information of the air conditioner;

[0128] There are various types of air conditioners, including wall-mounted air conditioners, cabinet-type air conditioners, window-type air conditioners and ceiling-mounted air conditioners.

[0129] An embodiment of the present application also provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the self-cleaning time determination method applied to a network server as described in any of the previous embodiments.

[0130] An embodiment of the present application also provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the self-cleaning time determination method applied to air-conditioning equipment as described in any of the previous embodiments.

[0131] The present application also provides a network server, such as Figure 4 As shown, it includes a memory 401 and a processor 402, wherein the memory 401 stores a program, and when the program is read and executed by the processor 402, the self-cleaning time determination method applied to the network server as described in any of the previous embodiments is implemented. The storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid state drive, a magnetic tape, a floppy disk, an optical disc, and any combination thereof.

[0132] The network server recorded in the embodiment of the present application adopts the self-cleaning time determination method applied to the network server recorded in the above embodiment, and therefore has at least all the beneficial effects brought about by the self-cleaning time determination method applied to the network server recorded in the above embodiment, which will not be repeated here one by one.

[0133] The present application also provides an air conditioning device. Figure 4, including a memory and a processor, wherein the memory stores a program, and when the program is read and executed by the processor, the method for determining the self-cleaning time applied to the air conditioning equipment as described in any of the previous embodiments is implemented. The storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof.

[0134] The air-conditioning equipment recorded in the embodiment of the present application adopts the self-cleaning time determination method applied to the air-conditioning equipment recorded in the above embodiment, and therefore has at least all the beneficial effects brought by the self-cleaning time determination method applied to the air-conditioning equipment recorded in the above embodiment, which will not be repeated here one by one.

[0135] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the concept of the present invention, or directly / indirectly applied in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A method for determining a self-cleaning time, applied to a network server, the method comprising: receiving reported characteristic data of the air conditioner, wherein the characteristic data includes one or more of equipment information and operation data of the air conditioner; creating a self-cleaning time estimation model for the air conditioner based on the characteristic data of the air conditioner and the actual time when the air conditioner first performs self-cleaning; When it is determined that the air conditioner starts self-cleaning again, the estimated time of the self-cleaning of the air conditioner is determined based on the self-cleaning time estimation model of the air conditioner, and the estimated time is sent to the air conditioning device for display.

2. The method according to claim 1, characterized in that The method further comprises: When the air conditioner starts self-cleaning for the first time, searching for a self-cleaning time estimation model of an air conditioner of the same type as the air conditioner; Determining an estimated time for the self-cleaning of the air conditioner based on the self-cleaning time estimation model found, and sending the estimated time to an information display device of the air conditioner; The same type of air conditioner as the air conditioner is determined by comparing the device information of the air conditioner with the device information of the air conditioner for which the self-cleaning time estimation model has been created.

3. The method according to claim 1, characterized in that The equipment information includes classification information of the air conditioner, and the classification information includes part or all of the model, installation location and installation area of ​​the air conditioner; The same type of air conditioner as the air conditioner refers to an air conditioner having the same classification information as the air conditioner.

4. The method according to claim 1, characterized in that: The actual time when the air conditioner performs self-cleaning for the first time includes: the duration of each stage of self-cleaning, and / or the total duration of self-cleaning; The estimated time for the self-cleaning of the air conditioner this time includes: the estimated duration of each stage of the self-cleaning, and / or the estimated total duration of the self-cleaning.

5. The method according to claim 1, characterized in that The step of determining the estimated time for the current self-cleaning of the air conditioner based on the self-cleaning time estimation model of the air conditioner comprises: At least part of the reported characteristic data of the air conditioner is used as input data of a self-cleaning time estimation model of the air conditioner, and the estimated self-cleaning time of the air conditioner is obtained from the output data of the self-cleaning time estimation model of the air conditioner.

6. The method according to claim 4, characterized in that The actual time when the air conditioner performs self-cleaning for the first time is actively reported to the network server after the air conditioner completes the first self-cleaning; or The actual time when the air conditioner performs self-cleaning for the first time is obtained by: the network server determines that the air conditioner performs self-cleaning for the first time, and notifies the air conditioner to report the actual time when the air conditioner performs self-cleaning for the first time; And, receiving the actual time of the first self-cleaning execution reported by the air conditioner.

7. The method according to claim 1, characterized in that The network server stores a trained universal self-cleaning time estimation model, and output data of the universal self-cleaning time estimation model includes an estimated time for self-cleaning; The method of creating a self-cleaning time estimation model for the air conditioner includes: taking at least part of the reported characteristic data of the air conditioner as input data, taking the actual time when the air conditioner performs self-cleaning for the first time as target data, training a universal self-cleaning time estimation model, and using the trained model as the self-cleaning time estimation model created for the air conditioner.

8. The method according to claim 7, characterized in that After creating a self-cleaning time estimation model for the air conditioner, the method further includes: receiving an actual time when the air conditioner performs self-cleaning; The self-cleaning time estimation model of the air conditioner is continuously trained according to the received actual time when the air conditioner performs self-cleaning, so as to optimize the parameters of the self-cleaning time estimation model of the air conditioner.

9. A method for determining a self-cleaning time, applied to an air conditioning device, the method comprising: Reporting characteristic data of the air conditioner to a network server, wherein the characteristic data includes one or more of equipment information and operation data of the air conditioner; When the air conditioner starts self-cleaning, an estimated time of the self-cleaning is received from the network server, and the estimated time of the self-cleaning is displayed.

10. The method according to claim 9, characterized in that The estimated time of self-cleaning includes: the estimated duration of each stage of self-cleaning, and / or the estimated total duration of self-cleaning; In the case where the estimated time of self-cleaning includes the estimated duration of each stage of self-cleaning, the estimated time of self-cleaning is displayed, including: Before performing a self-cleaning, the estimated time to perform each stage of the self-cleaning is displayed; or, before performing each stage of the self-cleaning, the estimated time to perform the stage is displayed.

11. The method according to claim 9, characterized in that The operation data of the air conditioner includes any one or more of the following data: operation mode, operation temperature, operation wind speed, self-cleaning state, and actual time of performing self-cleaning; The actual time of performing self-cleaning at least includes the actual time of performing self-cleaning for the first time; The actual time for executing the self-cleaning includes: the duration of each stage of the self-cleaning, and / or the total duration of the self-cleaning.

12. The method according to claim 9, characterized in that The estimated time of self-cleaning is determined by the network server according to the method for determining the self-cleaning time as claimed in any one of claims 1 to 8; The air conditioning equipment includes: the air conditioner, and / or, an information display device of the air conditioner; wherein the information display device of the air conditioner is a terminal device bound to the air conditioner and capable of displaying self-cleaning information of the air conditioner.

13. A computer-readable storage medium storing one or more programs, wherein the one or more programs can be executed by one or more processors to implement the self-cleaning time determination method as described in any one of claims 1 to 8, or to implement the self-cleaning time determination method as described in any one of claims 9 to 12.

14. A network server, comprising a memory and a processor, wherein the memory stores a program, and when the program is read and executed by the processor, the method for determining the self-cleaning time according to any one of claims 1 to 8 is implemented.

15. An air conditioning device, comprising a memory and a processor, wherein the memory stores a program, and when the program is read and executed by the processor, the method for determining the self-cleaning time according to any one of claims 9 to 12 is implemented.

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