Air conditioner self-cleaning method, device, storage medium and electronic equipment

Abstract

The application provides a self-cleaning method and device of an air conditioner, a storage medium and an electronic device. The method comprises: obtaining an indoor environment parameter of the air conditioner, wherein the indoor environment parameter comprises an initial indoor pollutant concentration; in the case that the initial indoor pollutant concentration is greater than or equal to a concentration threshold, determining that the air conditioner needs to be purified, and controlling an indoor fan of the air conditioner to operate at a preset wind speed for a preset time period, and obtaining an updated indoor pollutant concentration at the last moment of the preset time period; determining an indoor pollutant particle size distribution according to the initial indoor pollutant concentration and at least one updated indoor pollutant concentration; and determining a target purification strategy according to the indoor pollutant particle size distribution, wherein the purification effect achieved by executing the target purification strategy is optimal, and the purification strategy comprises controlling the wind speed of the indoor fan, the indoor temperature and the indoor humidity. The present scheme takes into account the factor of the indoor pollutant particle size distribution, and achieves a good purification effect.

Description

Technical Field

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

[0002] As consumers become increasingly health-conscious, air purification has gradually become a standard feature in air conditioners. Current air purification methods primarily utilize electro-purification and physical filtration. Among these, physical filtration based on high-efficiency filters (such as HEPA filters) is highly regarded in the industry due to its superior purification performance.

[0003] Existing electro-purification and physical filtration methods do not consider the impact of particulate matter size on filtration efficiency. Summary of the Invention

[0004] The main objective of this application is to provide a self-cleaning method, apparatus, storage medium, and electronic device for air conditioners, so as to at least solve the problem that existing self-cleaning solutions for air conditioners do not consider the impact of particulate matter particle size on filtration efficiency.

[0005] To achieve the above objectives, according to a first aspect of this application, a self-cleaning method for an air conditioner is provided, comprising: acquiring indoor environmental parameters of the air conditioner, the indoor environmental parameters including an initial indoor pollutant concentration; determining that the air conditioner needs to be purified when the initial indoor pollutant concentration is greater than or equal to a concentration threshold, and controlling the indoor fan of the air conditioner to run at a preset wind speed for a preset time period, and acquiring an updated indoor pollutant concentration at the last moment of the preset time period; determining an indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one of the updated indoor pollutant concentrations, the indoor pollutant particle size distribution indicating the proportion of pollutant particles of each size to the total number of pollutant particles, the updated indoor pollutant concentration corresponding one-to-one with the preset time period; determining a target purification strategy based on the indoor pollutant particle size distribution, wherein the purification effect achieved by executing the target purification strategy is optimal, the purification strategy including controlling the wind speed of the indoor fan, indoor temperature, and indoor humidity.

[0006] Optionally, determining the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one of the updated indoor pollutant concentrations includes: in the case of n types of pollutant particles, determining the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and m types of updated indoor pollutant concentrations, where n = m + 1.

[0007] Optionally, in the presence of n types of pollutant particles, the indoor pollutant particle size distribution is determined based on the initial indoor pollutant concentration and the m types of updated indoor pollutant concentrations, including: obtaining the natural decay coefficient k of the n types of pollutant particles, where k1 represents the natural decay coefficient of the first type of pollutant particle, k2 represents the natural decay coefficient of the second type of pollutant particle, and kn represents the natural decay coefficient of the nth type of pollutant particle.

[0008] According to the relation: Determine the particle size distribution of the indoor pollutants x = {x1, x2, ..., x} n}, where t1, t2, t m These represent the first preset time period, the second preset time period, and the m-th preset time period, respectively, where C represents the initial indoor pollutant concentration. 1 C 2 C m x1, x2, xm represent the updated indoor pollutant concentrations after running at the preset wind speed for the first preset time period, the second preset time period, and the m-th preset time period, respectively. n These represent the proportions of the number of polluting particles with the first, second, and nth particle sizes to the total number of polluting particles, respectively.

[0009] Optionally, determining a target purification strategy based on the indoor pollutant particle size distribution includes: determining a proportion threshold; determining the proportion of the number of pollutant particles to the total number of pollutant particles, and identifying pollutant particles that exceed the proportion threshold as target pollutants; determining the target purification strategy according to the standard of maximizing the purification efficiency of the target pollutants, wherein the target purification strategy includes the target indoor fan speed, target indoor temperature, and target indoor humidity that maximize the purification efficiency of the target pollutants.

[0010] Optionally, the target purification strategy is determined based on maximizing the purification efficiency of the target pollutant, including: when there is only one type of target pollutant, the target purification strategy is determined based on maximizing the purification efficiency of this type of target pollutant; when there are multiple target pollutants, the target purification strategy is determined based on maximizing the purification efficiency of the target pollutant that has the highest proportion of the number of pollutant particles to the total number of pollutant particles.

[0011] Optionally, before determining the target purification strategy based on the indoor pollutant particle size distribution, the method further includes: constructing a mapping relationship between a set of influencing factors and a theoretical purification efficiency, wherein the set of influencing factors includes the particle size, theoretical indoor fan speed, theoretical indoor temperature, and theoretical indoor humidity; and determining the actual purification efficiency based on the particle size, actual indoor fan speed, actual indoor temperature, actual indoor humidity, and the mapping relationship.

[0012] Optionally, after determining the actual purification efficiency based on the particle size, actual indoor fan speed, actual indoor temperature, actual indoor humidity, and the mapping relationship, the method further includes: obtaining the concentration of the pollutant particles of the specified particle size; determining the ratio of the concentration of the pollutant particles to the actual purification efficiency as the actual purification time for the pollutant particles of the specified particle size; and determining a target purification strategy based on the indoor pollutant particle size distribution, including: determining the purification strategy with the shortest total purification time during purification operations as the target purification strategy based on the indoor pollutant particle size distribution.

[0013] According to a second aspect of this application, a self-cleaning device for an air conditioner is provided, comprising: a first acquisition unit for acquiring indoor environmental parameters of the air conditioner, the indoor environmental parameters including an initial indoor pollutant concentration; a processing unit for determining that the air conditioner needs to be purified when the initial indoor pollutant concentration is greater than or equal to a concentration threshold, and controlling the indoor fan of the air conditioner to run at a preset wind speed for a preset time period, and acquiring an updated indoor pollutant concentration at the last moment of the preset time period; a first determination unit for determining an indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one of the updated indoor pollutant concentrations, the indoor pollutant particle size distribution indicating the proportion of pollutant particles of each size to the total number of pollutant particles, the updated indoor pollutant concentration corresponding one-to-one with the preset time period; and a second determination unit for determining a target purification strategy based on the indoor pollutant particle size distribution, wherein the purification effect achieved by executing the target purification strategy is optimal, the purification strategy including controlling the wind speed of the indoor fan, indoor temperature, and indoor humidity.

[0014] According to a third aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform any of the self-cleaning methods of the air conditioner described above.

[0015] According to a fourth aspect of this application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including a self-cleaning method for performing any of the aforementioned air conditioners.

[0016] By applying the technical solution of this application, the indoor environmental parameters of the air conditioner are obtained; when the initial indoor pollutant concentration is greater than or equal to a concentration threshold, it is determined that the air conditioner needs to be purified, and the indoor fan of the air conditioner is controlled to run at a preset speed for a preset time period, and the updated indoor pollutant concentration at the last moment of the preset time period is obtained; the indoor pollutant particle size distribution is determined based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration; a target purification strategy is determined based on the indoor pollutant particle size distribution, wherein the purification effect achieved by executing the target purification strategy is optimal, and the purification strategy includes controlling the airflow speed of the indoor fan, indoor temperature, and indoor humidity. This solution takes into account the indoor pollutant particle size distribution factor, and accurately determines the indoor pollutant particle size distribution based on the changes in indoor pollutant concentration obtained by controlling the indoor fan to run at a preset speed, so that the formulated target purification strategy achieves a better purification effect, and the comprehensive consideration of the indoor fan speed, indoor temperature, and indoor humidity factors in the purification strategy further ensures the purification effect. Attached Figure Description

[0017] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 A hardware structure block diagram of a mobile terminal for performing a self-cleaning method for an air conditioner, according to an embodiment of this application, is shown.

[0019] Figure 2 A schematic flowchart of a self-cleaning method for an air conditioner according to an embodiment of this application is shown;

[0020] Figure 3 A schematic diagram illustrating the relationship between particle size and influencing factors according to embodiments of this application is shown;

[0021] Figure 4 A schematic flowchart of a specific self-cleaning method for an air conditioner according to an embodiment of this application is shown;

[0022] Figure 5 A structural block diagram of a self-cleaning device for an air conditioner provided according to an embodiment of this application is shown. Detailed Implementation

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application 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 application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] As described in the background section, existing air conditioner self-cleaning solutions do not consider the impact of particulate matter size on filtration efficiency. To address this issue, embodiments of this application provide an air conditioner self-cleaning method, apparatus, storage medium, and electronic device.

[0027] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0028] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a self-cleaning method for an air conditioner according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0029] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the self-cleaning method of the air conditioner in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one instance, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0030] This embodiment provides a self-cleaning method for an air conditioner that runs on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0031] Figure 2 This is a flowchart of a self-cleaning method for an air conditioner according to an embodiment of this application. Figure 2 As shown, the method includes the following steps:

[0032] Step S201: Obtain the indoor environmental parameters of the air conditioner, including the initial indoor pollutant concentration;

[0033] Among them, the indoor environmental parameters of the air conditioner are acquired in real time or at regular intervals;

[0034] The initial indoor pollutant concentration is the total concentration of indoor pollutants sensed by a concentration sensor, which includes the concentration of pollutants of various particle sizes.

[0035] Step S202: If the initial indoor pollutant concentration is greater than or equal to the concentration threshold, it is determined that the air conditioner needs to be purified, and the indoor fan of the air conditioner is controlled to run at a preset speed for a preset time period, and the updated indoor pollutant concentration at the last moment of the preset time period is obtained.

[0036] Specifically, the concentration threshold is set to 0.035 mg / m³. 3 (by weight) or 20,000 cells / L (by quantity). Of course, the concentration threshold can be adjusted according to the actual situation;

[0037] Specifically, the preset wind speed is set to 5 m / s and the preset time is set to 10 min. Of course, the preset wind speed and preset time can be adjusted according to the actual situation.

[0038] Step S203: Determine the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration. The indoor pollutant particle size distribution indicates the proportion of pollutant particles of each size to the total number of pollutant particles. The updated indoor pollutant concentration corresponds one-to-one with a preset time period.

[0039] Since controlling the indoor fan of the air conditioner to run at a preset speed for a preset time period causes changes in the concentration of indoor pollutants, and the changes in indoor pollutant concentration are different due to different particle size distributions of indoor pollutants, the particle size distribution of indoor pollutants is determined based on the changes.

[0040] Specifically, the filtration effect of air filter materials on particles mainly includes effects such as inertial impaction, diffusion, and interception. Due to the differences in force caused by different particle sizes, different filtration mechanisms have different effects on particles of different sizes. For example... Figure 3As shown, small-diameter particles are primarily affected by diffusion, while large-diameter particles are more significantly affected by inertial impaction. Furthermore, wind speed, temperature, and humidity also influence the filtration effect. With increasing filtration wind speed, inertial efficiency and interception efficiency rise, while diffusion efficiency decreases. Increased temperature enhances the diffusion of submicron particles, reduces the gravitational effect, especially inertial efficiency, and also increases pressure loss. Reducing the humidity of the filtered gas can improve the filtration efficiency of the filter media, but because electrostatic effects are weakened or even eliminated by moisture, Brownian diffusion decreases, making particles more likely to pass through.

[0041] Step S204: Determine the target purification strategy based on the indoor pollutant particle size distribution. The purification effect achieved by implementing the target purification strategy is the best. The purification strategy includes controlling the air speed of the indoor fan, indoor temperature, and indoor humidity.

[0042] The best purification effect can be either the shortest purification time or the highest purification efficiency.

[0043] Based on the above analysis, different particle sizes result in different filtration effects, and these effects are also influenced by wind speed, temperature, and humidity. Therefore, a targeted purification strategy based on the particle size distribution of indoor pollutants can achieve better purification results.

[0044] The self-cleaning method for air conditioners disclosed in this application involves: acquiring indoor environmental parameters of the air conditioner; determining the need for air conditioner purification when the initial indoor pollutant concentration is greater than or equal to a concentration threshold; controlling the indoor fan of the air conditioner to run at a preset speed for a preset time period; acquiring the updated indoor pollutant concentration at the end of the preset time period; determining the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration; and determining a target purification strategy based on the indoor pollutant particle size distribution, wherein the purification effect achieved by executing the target purification strategy is optimal. The purification strategy includes controlling the indoor fan speed, indoor temperature, and indoor humidity. This solution takes into account the indoor pollutant particle size distribution factor and accurately determines the indoor pollutant particle size distribution based on the changes in indoor pollutant concentration obtained by controlling the indoor fan to run at a preset speed, enabling the formulated target purification strategy to achieve a better purification effect. Furthermore, by comprehensively considering the indoor fan speed, indoor temperature, and indoor humidity factors in the purification strategy, the purification effect is further guaranteed.

[0045] Further, based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration, the indoor pollutant particle size distribution is determined, including:

[0046] Given n types of particulate matter with different particle sizes, the indoor pollutant particle size distribution is determined based on the initial indoor pollutant concentration and m types of updated indoor pollutant concentrations, where n = m + 1.

[0047] If there are five types of particulate matter with different particle sizes, the distribution of indoor pollutant particle sizes can be determined based on the initial indoor pollutant concentration and the concentrations of four new indoor pollutants. This can be achieved by controlling the indoor fan of the air conditioner to run at a preset speed for four different preset time periods, such as 10 minutes, 15 minutes, 20 minutes, and 25 minutes, and so on.

[0048] More specifically, given n types of particulate matter with varying particle sizes, the indoor pollutant particle size distribution is determined based on the initial indoor pollutant concentration and m updated indoor pollutant concentrations, including:

[0049] Obtain the natural decay coefficient k of particulate matter with n particle sizes, where k1 represents the natural decay coefficient of particulate matter with the first particle size, k2 represents the natural decay coefficient of particulate matter with the second particle size, and kn represents the natural decay coefficient of particulate matter with the nth particle size.

[0050] According to the relation:

[0051] Determine the indoor pollutant particle size distribution x = {x1, x2, ..., x} n}, where t1, t2, t m These represent the first preset time period, the second preset time period, and the m-th preset time period, respectively. C represents the initial indoor pollutant concentration. 1 C 2 C m x1, x2, and xm represent the updated indoor pollutant concentrations after running at a preset wind speed for the first preset time period, the second preset time period, and the m-th preset time period, respectively. n These represent the proportions of pollutant particles with the first, second, and nth diameters to the total number of pollutant particles, respectively.

[0052] The above is C·x1 + C·x2 + ... + C·x n =C is equivalent to C1 + C2 + ... + C n =C, that is, x1 + x2 + ... + x n =1;

[0053] t1[k1·C·x1+k2·C·x2+……+k n ·C·x n ]=CC 1 That is, t1[k1x1+k2x2+……+k n x n ] = 1 - C 1 / C;

[0054] t2[k1·C·x1+k2·C·x2+……+kn ·C·x n ]=CC 2 That is, t2[k1x1+k2x2+……+k n x n ] = 1 - C 2 / C;

[0055] t m [k1·C·x1+k2·C·x2+……+k n ·C·x n ]=CC m , i.e. t m [k1x1+k2x2+……+k n x n ] = 1 - C m / C;

[0056] Among them, C1, C2, C n These represent the concentrations of pollutant particles with the first, second, and nth particle sizes, respectively.

[0057] The above, due to C, C 1 C 2 C m It is definite, k1, k2, ... kn are definite, t1, t2, ... t m It is definite, therefore, by solving a simultaneous equation, we can solve for x = {x1, x2, ..., x...} n The determination of}.

[0058] In this embodiment of the application, step S204, determining the target purification strategy based on the indoor pollutant particle size distribution, includes:

[0059] Step S2041: Determine the proportion threshold;

[0060] For example, the percentage threshold is 70%. Of course, the percentage threshold can be adjusted according to the actual situation.

[0061] Step S2042: The proportion of pollutant particles to the total number of pollutant particles is determined, and pollutant particles that are higher than the proportion threshold are identified as target pollutants;

[0062] For example, if the number of polluting particles of the first particle size accounts for 73% of the total number of polluting particles, which is more than 70%, then the polluting particles of the first particle size are the target pollutants.

[0063] For example, if the number of polluting particles of the second size accounts for 73% of the total number of polluting particles, which exceeds 70%, then the polluting particles of the second size are the target pollutants.

[0064] Step S2043: Determine the target purification strategy based on maximizing the purification efficiency of the target pollutant. The target purification strategy includes the target indoor fan speed, target indoor temperature, and target indoor humidity, which maximize the purification efficiency of the target pollutant.

[0065] By prioritizing the purification efficiency of pollutant particles with a higher proportion, the purification effect of pollutant particles of that size can be optimized. Combined with the condition of a higher proportion, the overall purification effect is good.

[0066] In this embodiment of the application, the target purification strategy is determined based on maximizing the purification efficiency of the target pollutant, including:

[0067] When there is only one target pollutant, the target purification strategy is determined based on maximizing the purification efficiency of this target pollutant.

[0068] When there are multiple target pollutants, the target purification strategy is determined based on the standard that maximizes the purification efficiency of the target pollutant that results in the highest proportion of particulate matter to the total number of particulate matter.

[0069] For example, if the proportion threshold is 40%, and the proportion of particulate matter of the first particle size is 41% of the total number of particulate matter, and the proportion of particulate matter of the second particle size is 42%, then the target purification strategy is determined based on maximizing the purification efficiency of the second particle size. Of course, this situation is uncommon; generally, the proportion threshold is set to be greater than 50%, so that at most only one particle size will have a proportion exceeding the proportion threshold.

[0070] In this embodiment of the application, before determining the target purification strategy based on the indoor pollutant particle size distribution, the method further includes:

[0071] A mapping relationship between the set of influencing factors and the theoretical purification efficiency was constructed. The set of influencing factors includes particle size, theoretical internal fan speed, theoretical indoor temperature, and theoretical indoor humidity.

[0072] In other words, for specific wind speed and temperature / humidity conditions, the theoretical purification efficiency of an air conditioner for particles of various sizes is η1, η2...η. n It can be determined; it can be determined through multiple experiments.

[0073] The actual purification efficiency is determined based on particle size, actual internal fan speed, actual indoor temperature, actual indoor humidity, and the mapping relationship.

[0074] Therefore, given the particle size, actual internal fan speed, actual indoor temperature, and actual indoor humidity, the actual purification efficiency can be determined. Ideally, the actual purification efficiency equals the theoretical purification efficiency.

[0075] In this embodiment of the application, after determining the actual purification efficiency based on particle size, actual internal fan speed, actual indoor temperature, actual indoor humidity, and mapping relationship, the method further includes:

[0076] To obtain the concentration of pollutant particles of the specified size;

[0077] The concentration of pollutant particles of each size is determined by the product of the total concentration of pollutant particles, i.e., the initial indoor pollutant concentration and its proportion.

[0078] The ratio of the concentration of polluting particulate matter to the actual purification efficiency is determined as the actual purification time for polluting particulate matter of a given size.

[0079] In this embodiment, determining the target purification strategy based on the indoor pollutant particle size distribution includes: determining the purification strategy with the shortest total purification time based on the indoor pollutant particle size distribution as the target purification strategy. That is, there must exist a specific wind speed v2, temperature T1, and humidity RH1 such that the total time t for the air conditioner to purify each pollutant particle under these conditions is t = C1 / η1 + C2 / η2 + ... + C n / η n Minimum, i.e., the air conditioner's purification operation time is t. min The air conditioner is controlled to operate at this fan speed v2 and temperature / humidity T1, RH1 conditions for a certain period of time t. min This allows for optimal purification. Among them, η1, η2...η n These represent the theoretical purification efficiency, or actual purification efficiency, for pollutant particles of the first, second, and nth diameters, respectively.

[0080] In alternative embodiments, as described above, for specific wind speeds and temperature / humidity conditions, the theoretical purification efficiencies η1, η2...η of the air conditioner for particles of various sizes are... n It is indeed possible to determine this, and theoretically, it can also be used to determine particle size distribution. However, because different air conditioner purification schemes have different purification efficiencies, and even the same purification scheme can change its efficiency over time, using purification efficiency to indirectly determine purification parameters is not a big problem, but using it to determine particle size distribution has poor universality and low accuracy. On the other hand, determining particle size distribution is only to better understand the composition of pollutants; in reality, the number of particles of each size can also be directly calculated.

[0081] The details are as follows:

[0082] Firstly, it's easy to have C1 + C2 + ... + C n =C (Equation 1).

[0083] Furthermore, there are:

[0084] (After time t1) t1[η1·C1+η2·C2+……+η n ·C n ]=CC 1 (Equation 2);

[0085] (After time t2) t1[η1·C1+η2·C2+……+η n ·C n ]=CC 2 (Equation 3);

[0086] ...

[0087] (t m After time) t1[η1·C1+η2·C2+……+η n ·C n ]=CC m (Formula n).

[0088] Based on the above, the concentrations of particles of various sizes, C1, C2...C, can be calculated. n .

[0089] To enable those skilled in the art to better understand the technical solution of this application, the implementation process of the self-cleaning method for air conditioners of this application will be described in detail below with reference to specific embodiments.

[0090] This embodiment relates to a specific self-cleaning method for an air conditioner, such as... Figure 4 As shown, it includes the following steps:

[0091] Step 1: Turn on the air conditioner.

[0092] Step 2: Control the environmental parameter detection device to detect indoor environmental parameters in real time or at regular intervals.

[0093] Indoor environmental parameters include initial indoor pollutant concentration C, temperature T0, and relative humidity RH0.

[0094] An indoor unit of an air conditioner comprises an air inlet, an internal fan and an air outlet; an environmental parameter detection device and an air purification device are arranged in an air duct communicated with the air inlet and the air outlet. The environmental parameter detection device comprises an air quality detection unit and an air temperature and humidity detection unit. The air quality detection unit is configured to detect the concentration of indoor particulate pollutants, and is mainly a particulate pollutant sensor such as dust. The air temperature and humidity detection unit is configured to detect the temperature and humidity of an indoor environment, and comprises a temperature sensor, a humidity sensor or a temperature and humidity sensor, etc. The air purification device is configured to purify indoor air, and comprises high-efficiency filtration and purification devices such as IFD and HEPA filter nets.

[0095] Step 3: Determining whether purification is required based on the pollutant concentration.

[0096] Specifically, when C<C0, it indicates that the indoor air is clean, and air purification is not required, so the determination is negative, and the air conditioner only needs to operate in the normal cooling and heating mode. Wherein, C0 is the judgment standard value of particulate pollutant concentration, preferably 0<C0≤0.035mg / m3 (by weight) or 0<C0≤20000 particles / L (by quantity). When C≥C0, it indicates that the indoor air is turbid and purification is required, so the determination is positive, the air conditioner operates in the purification mode, and the next step is performed.

[0097] Step 4: Determining the particle size distribution of particulate matters according to the change of pollutant concentration.

[0098] ① Controlling the internal fan of the air conditioner to operate at a certain wind speed v1.

[0099] ② Detecting the concentration of indoor particulates at different times t m C m .

[0100] Specifically, after controlling the internal fan of the air conditioner to operate at a certain wind speed v1 for a certain time t1, controlling the air quality detection unit of the air conditioner to obtain the current concentration of particulate pollutants C 1 ;

[0101] Continuing to operate at the same wind speed until time t2, and then detecting the concentration of particulate pollutants C 2 ;

[0102] Judging that the above steps need to be repeated according to the particle size distribution, operating at the same wind speed until time t m , and then detecting the concentration of particulate pollutants C m .

[0103] ③ Determining the particle size distribution x of particulates in combination with the pollutant concentrations at different times.

[0104] Specifically, the description is given here by taking the counting concentration as an example: first, particle size grading is performed according to purification requirements, such as d1, d2 … d n, where d1 represents particulate matter with a particle size d2 > d ≥ d1, d n This indicates that the particle size d ≥ d n Particulate matter.

[0105] As those skilled in the art will readily understand, particles of different sizes experience different forces, resulting in variations in their settling and natural decay in indoor air. Besides particle size, these variations are primarily influenced by indoor wind speed, ambient temperature, and humidity. In other words, for particles of different sizes, once environmental parameters are determined, their natural decay coefficient k (characterizing the decay of particle numbers over a given time) is fixed; k is a constant, and its magnitude can be obtained in advance through experiments, which will not be elaborated upon here.

[0106] Therefore, once the particulate matter classification is determined, we can simultaneously obtain the attenuation coefficients k1, k2...k of each particulate matter based on the current classification particle size. n .

[0107] Particle size distribution is represented by the proportion of each particle size in the total number of particles. Assuming that the number of particles with size d1, C1, accounts for x1 of the total number of particles C, i.e., C1 = C·x1, the numbers of other particle sizes are similarly represented as C2…C… n The percentages are x2...x n Then its particle size distribution is x = {x1, x2, ..., x} n}

[0108] Combining the above parameters, it is easy to conclude that:

[0109] C1 + C2 + ... + C n = C or C·x1 + C·x2 + ... + C·x n =C, that is, x1 + x2 + ... + x n =1 (Equation 1).

[0110] Furthermore, there are:

[0111] (After time t1) t1[k1·C·x1+k2·C·x2+……+k n ·C·x n ]=CC 1 That is, t1[k1x1+k2x2+……+k n x n ] = 1 - C 1 / C(Equation 2);

[0112] (After time t2) t2[k1·C·x1+k2·C·x2+……+k n ·C·x n ]=CC 2That is, t2[k1x1+k2x2+……+k n x n ] = 1 - C 2 / C(Equation 3);

[0113] ...

[0114] (t m (After time) t m [k1·C·x1+k2·C·x2+……+k n ·C·x n ]=CC m , i.e. t m [k1x1+k2x2+……+k n x n ] = 1 - C m / C(formula n).

[0115] Combining the above equations (1) to (n), the particle size distribution x = {x1, x2, ..., xn} can be calculated and determined. n The size of}, where n = m + 1.

[0116] Combining the above equations (1) to (n), the particle size distribution x = {x1, x2, ..., xn} can be calculated and determined. n The size of}, where n = m + 1.

[0117] Step 5: Determine the indoor pollution level based on particle size distribution and adjust the air conditioner purification parameters accordingly.

[0118] The purification parameters mainly refer to the airflow speed, ambient temperature and humidity, and operating time of the air conditioner during purification operation.

[0119] Specifically, the proportion of each particle size can be determined based on the particle size distribution, such as x2 > x. n >...>x1, meaning that d2-sized particulate matter accounts for the largest proportion of pollutants, followed by d... n Finally, there's d1. Because different particle sizes of pollutants pose varying degrees of harm through deposition in the human respiratory tract—for example, PM10 particles can enter the nasal cavity, PM7 particles can enter the throat, PM3 particles can reach the bronchi, and PM1 particles can penetrate deep into the alveoli—compared to characterizing it solely by total concentration (or total number of particles), combining the actual distribution of particles allows for a more accurate assessment of indoor pollution hazards.

[0120] Furthermore, by combining the proportions of each particle size, the distribution of particle sizes exceeding a certain threshold Q can be determined. Controlling the air conditioner to operate with parameters that maximize the purification efficiency of particles of this size can achieve the best purification effect. For example, if the threshold Q is set to 70%, and the proportion of the aforementioned d2 particle size is 73%, which exceeds 70%, then the air conditioner should be operated with the wind speed and temperature / humidity conditions that maximize the purification efficiency of d2 particle size particles.

[0121] Preferably, the concentrations C1, C2...C6 of particles of different sizes in the room can be determined by combining the particle size distribution. n Meanwhile, it is readily understood by those skilled in the art that, for specific wind speeds and temperature and humidity conditions, the theoretical purification efficiencies of an air conditioner for particles of various sizes are η1, η2...η n It can also be determined that, under these conditions, the theoretical purification times for particles of various sizes are C1 / η1, C2 / η2...C n / η n It also exists and is certain.

[0122] Based on the above analysis, there must exist a specific wind speed v2, temperature T1, and relative humidity RH1 such that the total time t for the air conditioner to purify all particulate matter under these conditions is t = C1 / η1 + C2 / η2 + ... + C n / η n Minimum, i.e., the air conditioner's purification operation time is t. min .

[0123] Control the air conditioner to operate for a certain period of time t under the conditions of fan speed v2, temperature and humidity T1, and RH1. min This will maximize the purification effect.

[0124] Step 6: Control the air conditioner to operate according to the corresponding parameters.

[0125] Specifically, the control environmental parameter detection device monitors indoor environmental parameters in real time or at regular intervals. Based on the environmental parameters, it determines the concentration and particle size distribution of indoor pollutants, judges whether purification is needed, and controls the air purification device to operate in the purification mode with the best wind speed, temperature and humidity to purify the pollutants in the air.

[0126] Furthermore, indoor environmental parameters are monitored in real time or at regular intervals. When pollutant concentrations change, the air conditioner adaptively adjusts relevant parameters and runs purification mode according to the above method to ensure the health and comfort of indoor occupants.

[0127] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0128] This application also provides a self-cleaning device for an air conditioner. It should be noted that the self-cleaning device for an air conditioner in this application can be used to execute the self-cleaning method for an air conditioner provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0129] The self-cleaning device for an air conditioner provided in the embodiments of this application will be described below.

[0130] Figure 5 This is a schematic diagram of a self-cleaning device for an air conditioner according to an embodiment of this application. Figure 5 As shown, the device includes:

[0131] The first acquisition unit 51 is used to acquire indoor environmental parameters of the air conditioner, including the initial indoor pollutant concentration.

[0132] The processing unit 52 is used to determine that the air conditioner needs to be purified when the initial indoor pollutant concentration is greater than or equal to the concentration threshold, and to control the indoor fan of the air conditioner to run at a preset speed for a preset time period, and to obtain the updated indoor pollutant concentration at the last moment of the preset time period.

[0133] The first determining unit 53 is used to determine the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration. The indoor pollutant particle size distribution indicates the proportion of pollutant particles of each size to the total number of pollutant particles. The updated indoor pollutant concentration corresponds one-to-one with a preset time period.

[0134] The second determining unit 54 is used to determine the target purification strategy based on the particle size distribution of indoor pollutants. The purification effect achieved by implementing the target purification strategy is the best. The purification strategy includes controlling the wind speed of the indoor fan, the indoor temperature, and the indoor humidity.

[0135] The self-cleaning device for an air conditioner disclosed in this application comprises: a first acquisition unit acquiring indoor environmental parameters of the air conditioner; a processing unit determining that purification of the air conditioner is necessary when the initial indoor pollutant concentration is greater than or equal to a concentration threshold, and controlling the indoor fan of the air conditioner to run at a preset speed for a preset time period, and acquiring the updated indoor pollutant concentration at the last moment of the preset time period; a first determination unit determining the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration; and a second determination unit determining a target purification strategy based on the indoor pollutant particle size distribution, wherein the purification effect achieved by executing the target purification strategy is optimal, and the purification strategy includes controlling the airflow speed of the indoor fan, indoor temperature, and indoor humidity. This solution takes into account the indoor pollutant particle size distribution factor and accurately determines the indoor pollutant particle size distribution based on the changes in indoor pollutant concentration obtained by controlling the indoor fan to run at a preset speed, so that the formulated target purification strategy achieves a better purification effect, and the comprehensive consideration of the indoor fan speed, indoor temperature, and indoor humidity factors in the purification strategy further ensures the purification effect.

[0136] In the embodiments of this application, the first determining unit is further configured to determine the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and m updated indoor pollutant concentrations when there are n types of particulate matter with different particle sizes, where n = m + 1. That is, if there are 5 types of particulate matter with different particle sizes, the indoor pollutant particle size distribution can be determined based on the initial indoor pollutant concentration and 4 updated indoor pollutant concentrations. This means controlling the air conditioner's indoor fan to run at a preset speed for 4 different preset time periods, for example, 10 minutes, 15 minutes, 20 minutes, and 25 minutes, and so on.

[0137] In the embodiments of this application, the first determining unit includes an acquisition module and a first determining module.

[0138] The acquisition module is used to acquire the natural decay coefficient k of pollutant particles of n particle sizes, where k1 represents the natural decay coefficient of pollutant particles of the first particle size, k2 represents the natural decay coefficient of pollutant particles of the second particle size, and kn represents the natural decay coefficient of pollutant particles of the nth particle size.

[0139] According to the relation:

[0140] The first determining module is used to determine the indoor pollutant particle size distribution x = {x1, x2, ..., x} n}, where t1, t2, t m These represent the first preset time period, the second preset time period, and the m-th preset time period, respectively. C represents the initial indoor pollutant concentration. 1 C 2 C mx1, x2, and xm represent the updated indoor pollutant concentrations after running at a preset wind speed for the first preset time period, the second preset time period, and the m-th preset time period, respectively. n These represent the proportions of pollutant particles with the first, second, and nth particle sizes to the total number of pollutant particles, respectively. As mentioned above, due to C, C... 1 C 2 C m It is definite, k1, k2, ... kn are definite, t1, t2, ... t m It is definite, therefore, by solving a simultaneous equation, we can solve for x = {x1, x2, ..., x...} n The determination of}.

[0141] In the embodiments of this application, the second determining unit includes a second determining module, a third determining module, and a fourth determining module. The second determining module is used to determine a proportion threshold; the third determining module is used to determine the proportion of pollutant particles to the total number of pollutant particles, and pollutant particles that exceed the proportion threshold are identified as target pollutants; the fourth determining module is used to determine a target purification strategy based on maximizing the purification efficiency of the target pollutants. The target purification strategy includes the target indoor fan speed, target indoor temperature, and target indoor humidity that maximize the purification efficiency of the target pollutants. By using the maximization of the purification efficiency of pollutant particles with a larger proportion as the standard, the purification effect of pollutant particles of that size can be optimized. Combined with the condition of a higher proportion, a better overall purification effect is achieved.

[0142] In the embodiments of this application, the fourth determining module includes a first determining submodule and a second determining submodule. The first determining submodule is used to determine the target purification strategy based on maximizing the purification efficiency of only one type of target pollutant when there is only one target pollutant. The second determining submodule is used to determine the target purification strategy based on maximizing the purification efficiency of the target pollutant that has the highest proportion of pollutant particles to the total number of pollutant particles when there are multiple target pollutants. For example, if the proportion threshold is 40%, and the proportion of pollutant particles of the first particle size to the total number of pollutant particles is 41%, and the proportion of pollutant particles of the second particle size to the total number of pollutant particles is 42%, then the target purification strategy is determined based on maximizing the purification efficiency of pollutant particles of the second particle size. Of course, this situation is uncommon. Generally, the proportion threshold is set to be greater than 50%, so that at most only one particle size of pollutant particles has a proportion to the total number of pollutant particles higher than the proportion threshold.

[0143] In embodiments of this application, the device further includes a construction unit and a third determination unit. The construction unit is used to construct a mapping relationship between a set of influencing factors and a theoretical purification efficiency before determining the target purification strategy based on the indoor pollutant particle size distribution. The set of influencing factors includes particle size, theoretical indoor fan speed, theoretical indoor temperature, and theoretical indoor humidity. The third determination unit is used to determine the actual purification efficiency based on the particle size, actual indoor fan speed, actual indoor temperature, actual indoor humidity, and the mapping relationship. Therefore, given the particle size, actual indoor fan speed, actual indoor temperature, and actual indoor humidity, the actual purification efficiency can naturally be determined. Ideally, the actual purification efficiency equals the theoretical purification efficiency.

[0144] In the embodiments of this application, the device further includes a second acquisition unit and a fourth determination unit. The second acquisition unit is used to acquire the concentration of pollutant particles of a certain size after determining the actual purification efficiency based on the particle size, the actual internal fan speed, the actual indoor temperature, the actual indoor humidity, and the mapping relationship. The fourth determination unit is used to determine the ratio of the concentration of pollutant particles to the actual purification efficiency as the actual purification time of the pollutant particles of a certain size.

[0145] In this embodiment of the application, the second determining unit is further configured to determine the purification strategy that takes the shortest total purification time when performing the purification operation as the target purification strategy based on the indoor pollutant particle size distribution.

[0146] The self-cleaning device of the air conditioner includes a processor and a memory. The aforementioned first acquisition unit, processing unit, first determination unit, and second determination unit are all stored as program units in the memory. The processor executes the aforementioned program units stored in the memory to achieve the corresponding functions. All of the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0147] The processor contains a kernel, which retrieves the corresponding program unit from memory. One or more kernels can be configured; adjusting kernel parameters can address the issue of air conditioner self-cleaning systems not considering the impact of particulate matter size on filtration efficiency.

[0148] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0149] This invention provides an electronic device, including: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include a self-cleaning method for performing any one of the following for an air conditioner.

[0150] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform a self-cleaning method for an air conditioner.

[0151] Specifically, the self-cleaning methods of air conditioners include:

[0152] Step S201: Obtain the indoor environmental parameters of the air conditioner, including the initial indoor pollutant concentration;

[0153] Step S202: If the initial indoor pollutant concentration is greater than or equal to the concentration threshold, it is determined that the air conditioner needs to be purified, and the indoor fan of the air conditioner is controlled to run at a preset speed for a preset time period, and the updated indoor pollutant concentration at the last moment of the preset time period is obtained.

[0154] Step S203: Determine the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration. The indoor pollutant particle size distribution indicates the proportion of pollutant particles of each size to the total number of pollutant particles. The updated indoor pollutant concentration corresponds one-to-one with a preset time period.

[0155] Step S204: Determine the target purification strategy based on the indoor pollutant particle size distribution. The purification effect achieved by implementing the target purification strategy is the best. The purification strategy includes controlling the air speed of the indoor fan, indoor temperature, and indoor humidity.

[0156] This invention provides a processor for running a program, wherein the program executes a self-cleaning method for an air conditioner.

[0157] Specifically, the self-cleaning methods of air conditioners include:

[0158] Step S201: Obtain the indoor environmental parameters of the air conditioner, including the initial indoor pollutant concentration;

[0159] Step S202: If the initial indoor pollutant concentration is greater than or equal to the concentration threshold, it is determined that the air conditioner needs to be purified, and the indoor fan of the air conditioner is controlled to run at a preset speed for a preset time period, and the updated indoor pollutant concentration at the last moment of the preset time period is obtained.

[0160] Step S203: Determine the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration. The indoor pollutant particle size distribution indicates the proportion of pollutant particles of each size to the total number of pollutant particles. The updated indoor pollutant concentration corresponds one-to-one with a preset time period.

[0161] Step S204: Determine the target purification strategy based on the indoor pollutant particle size distribution. The purification effect achieved by implementing the target purification strategy is the best. The purification strategy includes controlling the air speed of the indoor fan, indoor temperature, and indoor humidity.

[0162] This invention provides a device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs at least the following steps: The device in this article may be a server, PC, PAD, mobile phone, etc.

[0163] Step S201: Obtain the indoor environmental parameters of the air conditioner, including the initial indoor pollutant concentration;

[0164] Step S202: If the initial indoor pollutant concentration is greater than or equal to the concentration threshold, it is determined that the air conditioner needs to be purified, and the indoor fan of the air conditioner is controlled to run at a preset speed for a preset time period, and the updated indoor pollutant concentration at the last moment of the preset time period is obtained.

[0165] Step S203: Determine the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration. The indoor pollutant particle size distribution indicates the proportion of pollutant particles of each size to the total number of pollutant particles. The updated indoor pollutant concentration corresponds one-to-one with a preset time period.

[0166] Step S204: Determine the target purification strategy based on the indoor pollutant particle size distribution. The purification effect achieved by implementing the target purification strategy is the best. The purification strategy includes controlling the air speed of the indoor fan, indoor temperature, and indoor humidity.

[0167] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having at least the following method steps:

[0168] Step S201: Obtain the indoor environmental parameters of the air conditioner, including the initial indoor pollutant concentration;

[0169] Step S202: If the initial indoor pollutant concentration is greater than or equal to the concentration threshold, it is determined that the air conditioner needs to be purified, and the indoor fan of the air conditioner is controlled to run at a preset speed for a preset time period, and the updated indoor pollutant concentration at the last moment of the preset time period is obtained.

[0170] Step S203: Determine the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration. The indoor pollutant particle size distribution indicates the proportion of pollutant particles of each size to the total number of pollutant particles. The updated indoor pollutant concentration corresponds one-to-one with a preset time period.

[0171] Step S204: Determine the target purification strategy based on the indoor pollutant particle size distribution. The purification effect achieved by implementing the target purification strategy is the best. The purification strategy includes controlling the air speed of the indoor fan, indoor temperature, and indoor humidity.

[0172] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0173] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0174] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0175] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0176] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0177] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0178] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0179] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0180] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0181] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0182] 1) The self-cleaning method for an air conditioner of this application involves acquiring indoor environmental parameters of the air conditioner; determining that the air conditioner needs purification when the initial indoor pollutant concentration is greater than or equal to a concentration threshold; controlling the indoor fan of the air conditioner to run at a preset speed for a preset time period; and acquiring the updated indoor pollutant concentration at the last moment of the preset time period; determining the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one of the updated indoor pollutant concentrations; and determining a target purification strategy based on the indoor pollutant particle size distribution, wherein the purification effect achieved by executing the target purification strategy is optimal. The purification strategy includes controlling the airflow speed of the indoor fan, indoor temperature, and indoor humidity. This solution takes into account the indoor pollutant particle size distribution factor and accurately determines the indoor pollutant particle size distribution based on the changes in indoor pollutant concentration obtained by controlling the indoor fan to run at a preset speed, so that the formulated target purification strategy achieves a better purification effect. Furthermore, by comprehensively considering the airflow speed of the indoor fan, indoor temperature, and indoor humidity factors in the purification strategy, the purification effect is further guaranteed.

[0183] 2) The self-cleaning device for an air conditioner according to this application includes: a first acquisition unit acquiring indoor environmental parameters of the air conditioner; a processing unit determining that the air conditioner needs purification when the initial indoor pollutant concentration is greater than or equal to a concentration threshold, and controlling the indoor fan of the air conditioner to run at a preset speed for a preset time period, and acquiring the updated indoor pollutant concentration at the last moment of the preset time period; a first determination unit determining the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one of the updated indoor pollutant concentrations; and a second determination unit determining a target purification strategy based on the indoor pollutant particle size distribution, wherein the purification effect achieved by executing the target purification strategy is optimal, and the purification strategy includes controlling the airflow speed of the indoor fan, indoor temperature, and indoor humidity. This solution takes into account the indoor pollutant particle size distribution factor and accurately determines the indoor pollutant particle size distribution based on the changes in indoor pollutant concentration obtained by controlling the indoor fan to run at a preset speed, so that the formulated target purification strategy achieves a better purification effect. Furthermore, by comprehensively considering the airflow speed of the indoor fan, indoor temperature, and indoor humidity factors in the purification strategy, the purification effect is further guaranteed.

[0184] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A self-cleaning method for an air conditioner, characterized in that, include: Acquire indoor environmental parameters of the air conditioner, including initial indoor pollutant concentrations; If the initial indoor pollutant concentration is greater than or equal to the concentration threshold, it is determined that the air conditioner needs to be purified, and the indoor fan of the air conditioner is controlled to run at a preset speed for a preset time period, and the updated indoor pollutant concentration at the last moment of the preset time period is obtained. Based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration, the indoor pollutant particle size distribution is determined. The indoor pollutant particle size distribution indicates the proportion of pollutant particles of each size to the total number of pollutant particles. The updated indoor pollutant concentration corresponds one-to-one with the preset time period. A target purification strategy is determined based on the particle size distribution of indoor pollutants, wherein the purification effect achieved by executing the target purification strategy is the best. The purification strategy includes controlling the wind speed of the indoor fan, the indoor temperature, and the indoor humidity. Determining the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one of the updated indoor pollutant concentrations includes: in the case of n types of pollutant particles, determining the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and m types of updated indoor pollutant concentrations, where n = m + 1; In the presence of n types of particulate matter of varying sizes, the indoor pollutant particle size distribution is determined based on the initial indoor pollutant concentration and the m types of updated indoor pollutant concentrations. This includes: obtaining the natural decay coefficient k of the n types of particulate matter, where k1 represents the natural decay coefficient of the first type of particulate matter, k2 represents the natural decay coefficient of the second type of particulate matter, and kn represents the natural decay coefficient of the nth type of particulate matter; according to the following relationship: The particle size distribution of the indoor pollutants is determined as x = {x1, x2, ..., xn}, where t1, t2, tn are constants. m These represent the first preset time period, the second preset time period, and the m-th preset time period, respectively, where C represents the initial indoor pollutant concentration. 1 C 2 C m The numbers represent the updated indoor pollutant concentrations after running at the preset wind speed for the first preset time period, the second preset time period, and the m-th preset time period, respectively, and x1, x2, and xn represent the proportions of the number of pollutant particles with the first, second, and nth particle sizes to the total number of pollutant particles, respectively.

2. The method according to claim 1, characterized in that, Determining the target purification strategy based on the indoor pollutant particle size distribution includes: Determine the proportion threshold; The pollutants that are higher than the percentage of the total number of pollutants are identified as target pollutants. The target purification strategy is determined based on maximizing the purification efficiency of the target pollutant. The target purification strategy includes the target indoor fan speed, target indoor temperature, and target indoor humidity, which maximize the purification efficiency of the target pollutant.

3. The method according to claim 2, characterized in that, The target purification strategy is determined based on maximizing the purification efficiency of the target pollutant, including: When there is only one target pollutant, the target purification strategy is determined based on maximizing the purification efficiency of that target pollutant. When there are multiple target pollutants, the target purification strategy is determined based on the standard that maximizes the purification efficiency of the target pollutant that results in the highest proportion of the number of pollutant particles to the total number of pollutant particles.

4. The method according to claim 1, characterized in that, Before determining the target purification strategy based on the indoor pollutant particle size distribution, the method further includes: A mapping relationship is established between the set of influencing factors and the theoretical purification efficiency. The set of influencing factors includes the particle size, theoretical internal fan speed, theoretical indoor temperature, and theoretical indoor humidity. The actual purification efficiency is determined based on the particle size, actual internal fan speed, actual indoor temperature, actual indoor humidity, and the mapping relationship.

5. The method according to claim 4, characterized in that, After determining the actual purification efficiency based on the particle size, actual internal fan speed, actual indoor temperature, actual indoor humidity, and the mapping relationship, the method further includes: obtaining the concentration of the pollutant particles of the particle size; and determining the ratio of the concentration of the pollutant particles to the actual purification efficiency as the actual purification time for the pollutant particles of the particle size. Determining a target purification strategy based on the indoor pollutant particle size distribution includes: determining the purification strategy that minimizes the total purification time required for purification operations based on the indoor pollutant particle size distribution as the target purification strategy.

6. A self-cleaning device for an air conditioner, characterized in that, include: The first acquisition unit is used to acquire indoor environmental parameters of the air conditioner, the indoor environmental parameters including the initial indoor pollutant concentration; The processing unit is configured to determine that the air conditioner needs to be purified when the initial indoor pollutant concentration is greater than or equal to a concentration threshold, and to control the indoor fan of the air conditioner to run at a preset speed for a preset time period, and to obtain the updated indoor pollutant concentration at the last moment of the preset time period. The first determining unit is used to determine the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and at least one updated indoor pollutant concentration. The indoor pollutant particle size distribution indicates the proportion of pollutant particles of each size to the total number of pollutant particles. The updated indoor pollutant concentration corresponds one-to-one with the preset time period. The second determining unit is used to determine a target purification strategy based on the particle size distribution of the indoor pollutants, wherein the purification effect achieved by executing the target purification strategy is optimal, and the purification strategy includes controlling the wind speed of the indoor fan, the indoor temperature and the indoor humidity. The first determining unit is further configured to determine the indoor pollutant particle size distribution based on the initial indoor pollutant concentration and the m updated indoor pollutant concentrations, where n = m + 1, in the presence of n types of pollutant particles. The first determining unit includes an acquisition module and a first determining module. The acquisition module is used to acquire the natural decay coefficient k of the pollutant particles of n particle sizes, where k1 represents the natural decay coefficient of the pollutant particles of the first particle size, k2 represents the natural decay coefficient of the pollutant particles of the second particle size, and kn represents the natural decay coefficient of the pollutant particles of the nth particle size; the first determining module is used to determine the natural decay coefficient k of the pollutant particles of the nth particle size according to the following formula: The particle size distribution of the indoor pollutants is determined as x = {x1, x2, ..., xn}, where t1, t2, tn are constants. m These represent the first preset time period, the second preset time period, and the m-th preset time period, respectively, where C represents the initial indoor pollutant concentration. 1 C 2 C m The numbers represent the updated indoor pollutant concentrations after running at the preset wind speed for the first preset time period, the second preset time period, and the m-th preset time period, respectively, and x1, x2, and xn represent the proportions of the number of pollutant particles with the first, second, and nth particle sizes to the total number of pollutant particles, respectively.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the self-cleaning method of the air conditioner according to any one of claims 1 to 5.

8. An electronic device, characterized in that, include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including a self-cleaning method for performing an air conditioner according to any one of claims 1 to 5.

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