Method and device for self-cleaning, air conditioner, storage medium

Abstract

This application relates to the field of air conditioner technology, disclosing a method for self-cleaning, applied to an air conditioner. The method includes: after the air conditioner self-cleans, acquiring a first average dust concentration in a preset area daily; acquiring a second average dust concentration based on the first average dust concentration; and controlling the air conditioner to self-clean again based on the second average dust concentration. By acquiring the first average dust concentration in a preset area daily after the air conditioner self-cleans, acquiring the second average dust concentration based on the first average dust concentration, and then controlling the air conditioner to self-clean again based on the second average dust concentration, the self-cleaning effect of the air conditioner can be improved compared to self-cleaning the air conditioner only once every preset time interval, since the impact of indoor dust on the cleanliness of the air conditioner is considered. This application also discloses a self-cleaning device, an air conditioner, and a storage medium.

Description

Technical Field

[0001] This application relates to the field of air conditioner technology, such as a method and apparatus for self-cleaning, an air conditioner, and a storage medium. Background Technology

[0002] Currently, as people's demands for quality of life increase, air conditioners have become an indispensable household appliance for regulating indoor temperature. Air conditioners not only regulate indoor temperature but also filter indoor air to improve air quality. Therefore, the inside of air conditioners is prone to getting dirty. To improve the cleanliness of air conditioners, they are usually self-cleaned at preset intervals.

[0003] In the process of implementing the embodiments of this disclosure, it was found that at least the following problems exist in the related technology: the related technology performs self-cleaning of the air conditioner every preset time interval, ignoring the impact of indoor dust on the cleanliness of the air conditioner, resulting in poor cleaning effect.

[0004] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0006] This disclosure provides a method and apparatus for self-cleaning, an air conditioner, and a storage medium to improve the self-cleaning effect of the air conditioner.

[0007] In some embodiments, the self-cleaning method is applied to an air conditioner; the method includes: after the air conditioner has self-cleaned, acquiring a first average dust concentration in a preset area daily; acquiring a second average dust concentration based on each of the first average dust concentrations; and controlling the air conditioner to perform self-cleaning again based on the second average dust concentration.

[0008] In some embodiments, the first average dust concentration is obtained by: collecting dust concentration data of a preset area at first preset intervals throughout the day to obtain the indoor dust concentration; and determining the average value of all indoor dust concentrations as the first average dust concentration.

[0009] In some embodiments, obtaining the second average dust concentration based on each of the first average dust concentrations includes: obtaining the second average dust concentration from the first day to the Dth day based on each of the first average dust concentrations; wherein D is greater than 1 and D is a positive integer.

[0010] In some embodiments, controlling the air conditioner to perform self-cleaning again based on the second average dust concentration includes: obtaining a dust concentration threshold corresponding to day D; and controlling the air conditioner to perform self-cleaning again.

[0011] In some embodiments, the self-cleaning device is applied to an air conditioner; the device includes: a first acquisition module configured to acquire a first average dust concentration in a preset area daily after the air conditioner has self-cleaned; a second acquisition module configured to acquire a second average dust concentration based on the first average dust concentration; and a cleaning module configured to control the air conditioner to perform self-cleaning again based on the second average dust concentration.

[0012] In some embodiments, the first acquisition module is configured to acquire the first average dust concentration by: collecting dust concentration data of a preset area at first preset intervals throughout the day to obtain the indoor dust concentration; and determining the average value of all indoor dust concentrations as the first average dust concentration.

[0013] In some embodiments, the second acquisition module is configured to acquire a second average dust concentration based on each of the first average dust concentrations by: acquiring a second average dust concentration from the first day to the Dth day based on each of the first average dust concentrations; wherein, D is greater than 1 and D is a positive integer.

[0014] In some embodiments, the cleaning module is configured to control the air conditioner to perform self-cleaning again based on the second average dust concentration by: obtaining a dust concentration threshold corresponding to day D; and controlling the air conditioner to perform self-cleaning again if the second average dust concentration is greater than the dust concentration threshold.

[0015] In some embodiments, the air conditioner includes a processor and a memory storing program instructions, the processor being configured to perform the self-cleaning method described above when the program instructions are executed.

[0016] In some embodiments, a storage medium stores program instructions that, when executed, perform the method described above for an air conditioner.

[0017] The self-cleaning method, apparatus, air conditioner, and storage medium provided in this disclosure can achieve the following technical effects: After the air conditioner self-cleans, a first average dust concentration in a preset area is obtained daily, a second average dust concentration is obtained based on the first average dust concentration, and then the air conditioner is controlled to perform self-cleaning again based on the second average dust concentration. In this way, by considering the impact of indoor dust on the cleanliness of the air conditioner, the self-cleaning effect of the air conditioner can be improved compared to performing self-cleaning only once every preset time interval.

[0018] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0019] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein:

[0020] Figure 1 This is a schematic diagram of a self-cleaning method provided in an embodiment of this disclosure;

[0021] Figure 2 This is a schematic diagram of another self-cleaning method provided in an embodiment of this disclosure;

[0022] Figure 3 This is a schematic diagram of another self-cleaning method provided in an embodiment of this disclosure;

[0023] Figure 4 This is a schematic diagram of another self-cleaning method provided in an embodiment of this disclosure;

[0024] Figure 5 This is a schematic diagram of a self-cleaning device provided in an embodiment of this disclosure;

[0025] Figure 6 This is a schematic diagram of an air conditioner provided in an embodiment of this disclosure. Detailed Implementation

[0026] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0027] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0028] Unless otherwise stated, the term "multiple" means two or more.

[0029] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0030] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0031] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0032] This application applies to air conditioners. The air conditioner is equipped with a dust sensor. After the air conditioner self-cleans, a first average dust concentration in a preset area is obtained daily. A second average dust concentration is then calculated based on this first average dust concentration, and the air conditioner is controlled to perform self-cleaning again based on the second average dust concentration. Because the impact of indoor dust on the cleanliness of the air conditioner is taken into account, the self-cleaning effect of the air conditioner is improved compared to performing self-cleaning only once every preset time interval.

[0033] Combination Figure 1 As shown in the embodiments of this disclosure, a method for self-cleaning is provided, applied to an air conditioner, the method comprising:

[0034] Step S101: After the air conditioner self-cleans, the air conditioner obtains the first average dust concentration of the preset area every day.

[0035] In step S102, the air conditioner obtains the second average dust concentration based on each first average dust concentration.

[0036] In step S103, the air conditioner controls itself to perform self-cleaning again based on the second average dust concentration.

[0037] The self-cleaning method provided in this embodiment of the invention involves obtaining a first average dust concentration in a preset area daily after the air conditioner has self-cleaned, obtaining a second average dust concentration based on the first average dust concentration, and then controlling the air conditioner to self-clean again based on the second average dust concentration. This approach, by considering the impact of indoor dust on the cleanliness of the air conditioner, improves the self-cleaning effect compared to performing self-cleaning only once every preset time interval.

[0038] Optionally, the first average dust concentration is obtained by: collecting dust concentration data from a preset area every first preset time interval throughout the day to obtain the indoor dust concentration. The average value of each indoor dust concentration is determined as the first average dust concentration. This allows for the acquisition of the first average dust concentration for the preset area within a day. A second average dust concentration is then obtained based on this first average dust concentration, and the air conditioner is controlled to perform self-cleaning again based on the second average dust concentration. Since the impact of indoor dust on the cleanliness of the air conditioner is considered, the self-cleaning effect of the air conditioner is improved compared to performing self-cleaning only once every preset time interval.

[0039] Furthermore, the first preset duration includes 1 hour, 2 hours, or 3 hours, etc.

[0040] Furthermore, the preset area is the area where the air conditioner is located. For example: the living room where the air conditioner is installed, the bedroom where the air conditioner is installed, or the kitchen where the air conditioner is installed, etc.

[0041] In some embodiments, the air conditioner is equipped with a dust concentration sensor, such as an electrostatic dust meter. The air conditioner uses the dust concentration sensor to collect the dust concentration in a preset area to obtain the indoor dust concentration.

[0042] In some embodiments, the electrostatic dust monitor is based on the principle of electrostatic AC induction. When charged dust particles pass by or collide with the sensor, an induced electromotive force is generated. The magnitude of the induced electromotive force is proportional to the actual dust concentration. The electrostatic dust monitor can obtain the indoor dust concentration based on this proportional relationship.

[0043] Optionally, a second average dust concentration is obtained based on each first average dust concentration, including: obtaining a second average dust concentration from the first day to the Dth day based on each first average dust concentration; where D is greater than 1 and D is a positive integer. This allows for obtaining the second average dust concentration of a preset area from the first day to the Dth day after self-cleaning. This facilitates controlling the air conditioner to perform self-cleaning again based on the second average dust concentration. Since the impact of indoor dust on the cleanliness of the air conditioner is considered, the self-cleaning effect of the air conditioner can be improved compared to performing self-cleaning only once every preset time interval.

[0044] Furthermore, obtaining the second average dust concentration from the first day to the D day based on each first average dust concentration includes: obtaining the average value of each first average dust concentration from the first day to the D day, and determining the average value as the second average dust concentration.

[0045] Furthermore, the average value of the first average dust concentration for each day from day 1 to day D is obtained, including by calculating... Obtain the average value of the first average dust concentration for each day from day 1 to day D. Where A is the average value of the first average dust concentration for each day from day 1 to day D. i Let be the first average dust concentration on day i.

[0046] Combination Figure 2 As shown in the embodiments of this disclosure, another method for self-cleaning is provided, applied to an air conditioner, the method comprising:

[0047] Step S201: After the air conditioner self-cleans, the air conditioner obtains the first average dust concentration of the preset area every day.

[0048] Step S202: The air conditioner obtains the second average dust concentration from the first day to the Dth day based on the first average dust concentration; where D is greater than 1 and D is a positive integer.

[0049] In step S203, the air conditioner controls itself to perform self-cleaning again based on the second average dust concentration.

[0050] The self-cleaning method provided in this embodiment of the invention involves obtaining a first average dust concentration in a preset area daily after the air conditioner self-cleans, and then obtaining a second average dust concentration for days D from day one based on the first average dust concentration. The air conditioner is then controlled to perform self-cleaning again based on the second average dust concentration. This approach, by considering the impact of indoor dust on the cleanliness of the air conditioner, improves the self-cleaning effect compared to performing self-cleaning only once every preset time interval.

[0051] Optionally, the air conditioner is controlled to perform self-cleaning again based on a second average dust concentration, including: obtaining a dust concentration threshold corresponding to day D. If the second average dust concentration is greater than the dust concentration threshold, the air conditioner is controlled to perform self-cleaning again. This allows the air conditioner to perform self-cleaning again when the second average dust concentration is greater than the dust concentration threshold. Since the impact of indoor dust on the cleanliness of the air conditioner is taken into account, the self-cleaning effect of the air conditioner can be improved compared to performing self-cleaning only once every preset time interval.

[0052] Furthermore, obtaining the dust concentration threshold corresponding to day D includes: performing a lookup operation using a preset dust concentration threshold database to obtain the dust concentration threshold corresponding to day D. The preset dust concentration threshold database stores the correspondence between days and dust concentration thresholds.

[0053] In some embodiments, the dust concentration threshold is not a fixed value but varies with the number of days. Even if the dust concentration in the air is very low, a lot of dust can accumulate if the air conditioner is not cleaned for a long time. Therefore, as the number of days D increases, the dust concentration threshold decreases, showing a downward trend. Furthermore, the dust concentration threshold is an empirical concentration, obtained by the air conditioner manufacturer through testing. This approach comprehensively considers the impact of indoor dust concentration and usage duration on dust accumulation in the air conditioner, improving its self-cleaning effect.

[0054] In some embodiments, when the second average dust concentration is greater than a dust concentration threshold, the air conditioner has accumulated a lot of dust and is quite dirty, and then the air conditioner is controlled to perform self-cleaning again. When the second average dust concentration is less than or equal to the dust concentration threshold, the air conditioner has not accumulated much dust and is less dirty, so self-cleaning is not required.

[0055] Furthermore, the air conditioner is controlled to perform self-cleaning again, including: controlling the air conditioner to frost. If the frost duration exceeds a second preset duration, the air conditioner is controlled to defrost. If the defrosting duration exceeds a third preset duration, the air conditioner is controlled to stop defrosting. In this way, by controlling the air conditioner to first frost and then defrost, cleaning of the air conditioner is achieved.

[0056] In some embodiments, the air conditioner is installed in the bedroom. The first preset duration is 1 hour. After the air conditioner self-cleans, it collects the dust concentration in the bedroom every hour to obtain the indoor dust concentration. Over a 24-hour period, the air conditioner collects 24 indoor dust concentration data. The air conditioner calculates the arithmetic mean of the 24 indoor dust concentrations to obtain the first average dust concentration for that day. After D days, the air conditioner obtains D first average dust concentrations by collecting the first average dust concentration of a preset area each day. Then, the air conditioner calculates the average of the D first average dust concentrations to obtain the second average dust concentration. A dust concentration threshold corresponding to day D is obtained. If the second average dust concentration is greater than the dust concentration threshold, the air conditioner is controlled to perform self-cleaning again.

[0057] Combination Figure 3 As shown in the embodiments of this disclosure, another method for self-cleaning is provided, applied to an air conditioner, the method comprising:

[0058] Step S301: After the air conditioner self-cleans, the air conditioner obtains the first average dust concentration of the preset area every day.

[0059] Step S302: The air conditioner obtains the second average dust concentration from the first day to the Dth day based on the first average dust concentration; where D is greater than 1 and D is a positive integer.

[0060] Step S303: The air conditioner obtains the dust concentration threshold corresponding to day D.

[0061] In step S304, if the second average dust concentration is greater than the dust concentration threshold, the air conditioner will control the air conditioner to perform self-cleaning again.

[0062] The self-cleaning method provided in this disclosure involves acquiring a first average dust concentration in a preset area daily after the air conditioner self-cleans, and then acquiring a second average dust concentration for days 1 to D based on the first average dust concentration. A dust concentration threshold corresponding to day D is then acquired, and if the second average dust concentration exceeds the dust concentration threshold, the air conditioner is controlled to perform self-cleaning again. This method, by considering the impact of indoor dust on the cleanliness of the air conditioner, improves the self-cleaning effect compared to performing self-cleaning only once every preset time interval.

[0063] Combination Figure 4 As shown in the embodiments of this disclosure, another method for self-cleaning is provided, applied to an air conditioner, the method comprising:

[0064] Step S401: After the air conditioner self-cleans, the air conditioner obtains the first average dust concentration of the preset area every day.

[0065] Step S402: The air conditioner obtains the second average dust concentration from the first day to the Dth day based on the first average dust concentration; where D is greater than 1 and D is a positive integer.

[0066] In step S403, the air conditioner performs a lookup operation using a preset dust concentration threshold database to obtain the dust concentration threshold corresponding to day D. The preset dust concentration threshold database stores the correspondence between days and dust concentration thresholds.

[0067] In step S404, when the second average dust concentration is greater than the dust concentration threshold, the air conditioner is controlled to frost.

[0068] In step S405, if the duration of frosting exceeds the second preset duration, the air conditioner is controlled to defrost.

[0069] In step S406, if the defrosting time of the air conditioner exceeds the third preset time, the air conditioner is controlled to end the defrosting process.

[0070] The self-cleaning method provided in this embodiment of the invention obtains a first average dust concentration in a preset area daily after the air conditioner self-cleans, and then obtains a second average dust concentration for days D from day one to day D based on the first average dust concentration. A dust concentration threshold corresponding to day D is then obtained, and if the second average dust concentration is greater than the dust concentration threshold, the air conditioner is controlled to first frost and then defrost. In this way, by considering the impact of indoor dust on the cleanliness of the air conditioner, the self-cleaning effect of the air conditioner can be improved compared to performing self-cleaning only once every preset time interval.

[0071] Combination Figure 5 As shown, this disclosure provides a self-cleaning device 1 for an air conditioner. The device includes a first acquisition module 2, a second acquisition module 3, and a cleaning module 4. The first acquisition module 2 is configured to acquire a first average dust concentration in a preset area daily after the air conditioner has self-cleaned. The second acquisition module 3 is configured to acquire a second average dust concentration based on the first average dust concentration. The cleaning module 4 is configured to control the air conditioner to perform self-cleaning again based on the second average dust concentration.

[0072] The self-cleaning apparatus provided in this embodiment of the invention acquires a first average dust concentration in a preset area daily after the air conditioner self-cleans, obtains a second average dust concentration based on the first average dust concentration, and then controls the air conditioner to perform self-cleaning again based on the second average dust concentration. In this way, by taking into account the impact of indoor dust on the cleanliness of the air conditioner, the self-cleaning effect of the air conditioner can be improved compared to performing self-cleaning only once every preset time interval.

[0073] Optionally, the first acquisition module is configured to acquire the first average dust concentration by: collecting dust concentration data for a preset area at first preset intervals throughout the day to obtain the indoor dust concentration; and determining the average value of each indoor dust concentration as the first average dust concentration.

[0074] Furthermore, the first preset duration includes 1 hour, 2 hours, or 3 hours, etc.

[0075] Furthermore, the preset area is the area where the air conditioner is located. For example: the living room where the air conditioner is installed, the bedroom where the air conditioner is installed, or the kitchen where the air conditioner is installed, etc.

[0076] In some embodiments, the air conditioner is equipped with a dust concentration sensor, such as an electrostatic dust meter. The air conditioner uses the dust concentration sensor to collect the dust concentration in a preset area to obtain the indoor dust concentration.

[0077] In some embodiments, the electrostatic dust monitor is based on the principle of electrostatic AC induction. When charged dust particles pass by or collide with the sensor, an induced electromotive force is generated. The magnitude of the induced electromotive force is proportional to the actual dust concentration. The electrostatic dust monitor can obtain the indoor dust concentration based on this proportional relationship.

[0078] Optionally, the second acquisition module is configured to acquire the second average dust concentration based on each first average dust concentration using the following method: acquiring the second average dust concentration from the first day to the Dth day based on each first average dust concentration; where D is greater than 1 and D is a positive integer.

[0079] Furthermore, the second acquisition module is configured to acquire the second average dust concentration from day 1 to day D based on each first average dust concentration using the following method: acquiring the average value of each first average dust concentration from day 1 to day D, and determining the average value as the second average dust concentration.

[0080] Furthermore, the second acquisition module is configured to obtain the average value of each first average dust concentration corresponding to day D from day 1 to day D by calculating... Obtain the average value of the first average dust concentration for each day from day 1 to day D. Where A is the average value of the first average dust concentration for each day from day 1 to day D. i Let be the first average dust concentration on day i.

[0081] Optionally, the cleaning module is configured to control the air conditioner to perform self-cleaning again based on a second average dust concentration by obtaining a dust concentration threshold corresponding to day D. If the second average dust concentration is greater than the dust concentration threshold, the air conditioner is controlled to perform self-cleaning again.

[0082] Furthermore, the cleaning module is configured to obtain the dust concentration threshold for day D by performing a lookup operation using a preset dust concentration threshold database. The preset dust concentration threshold database stores the correspondence between days and dust concentration thresholds.

[0083] Combination Figure 6 As shown, this embodiment of the present disclosure provides an air conditioner 5, including a processor 6 and a memory 7. Optionally, the device may further include a communication interface 8 and a bus 9. The processor 6, communication interface 8, and memory 7 can communicate with each other via the bus 9. The communication interface 8 can be used for information transmission. The processor 6 can call logical instructions in the memory 7 to execute the self-cleaning method described in the above embodiment.

[0084] Furthermore, the logical instructions in the aforementioned memory 7 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0085] The memory 7, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 6 executes functional applications and data processing by running the program instructions / modules stored in the memory 7, thereby implementing the self-cleaning method in the above embodiments.

[0086] The memory 7 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 7 may include high-speed random access memory and may also include non-volatile memory.

[0087] The air conditioner provided in this disclosure embodiment obtains a first average dust concentration in a preset area daily after the air conditioner self-cleans, obtains a second average dust concentration based on the first average dust concentration, and then controls the air conditioner to perform self-cleaning again based on the second average dust concentration. In this way, by considering the impact of indoor dust on the cleanliness of the air conditioner, the self-cleaning effect of the air conditioner can be improved compared to performing self-cleaning only once every preset time interval. This disclosure embodiment provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described self-cleaning method.

[0088] The aforementioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0089] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, including: a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and other media capable of storing program code; it can also be a transient storage medium.

[0090] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0091] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0092] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. Furthermore, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0093] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for self-cleaning, characterized in that, Applied to air conditioners; the method includes: After the air conditioner self-cleans, the first average dust concentration in a preset area is obtained daily; wherein, the preset area is the area where the air conditioner is located. D A D C i i D​​​​​​ Obtain the dust concentration threshold corresponding to day D; if the second average dust concentration is greater than the dust concentration threshold, control the air conditioner to perform self-cleaning again; The first average dust concentration is obtained by the following method: the dust concentration of the preset area is collected every first preset time interval within a day to obtain the indoor dust concentration; the average value of each indoor dust concentration is determined as the first average dust concentration.

2. A device for self-cleaning, characterized in that, Applied to air conditioners; the device includes: The first acquisition module is configured to acquire the first average dust concentration of a preset area every day after the air conditioner self-cleans; wherein the preset area is the area where the air conditioner is located. The second acquisition module is configured to perform calculations. , obtain the first day to the D The average value of the first average dust concentration for each day; the average value is determined as the second average dust concentration; wherein... A From the first day to the... D The average value of the first average dust concentration for each day. C i For the first i The first average dust concentration of the day, D is greater than 1, and D is a positive integer; The cleaning module is configured to obtain the dust concentration threshold corresponding to day D; and control the air conditioner to perform self-cleaning again if the second average dust concentration is greater than the dust concentration threshold. The first acquisition module is configured to acquire the first average dust concentration by means of the following method: collecting the dust concentration of a preset area every first preset time interval within a day to obtain the indoor dust concentration; and determining the average value of each indoor dust concentration as the first average dust concentration.

3. An air conditioner, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to perform the self-cleaning method as described in claim 1 when executing the program instructions.

4. A storage medium storing program instructions, characterized in that, When the program instructions are executed, they perform the self-cleaning method as described in claim 1.

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