Air conditioner control method and device, electronic equipment and storage medium

Abstract

The invention provides an air conditioner control method and device, electronic equipment and a storage medium, and relates to the field of air conditioners. Comprising the steps that operation data of the air conditioner on the day and environment data of the environment where the air conditioner is located are obtained, and the environment data comprise environment temperature; inputting the operation data and the environment data into a preset prediction model to obtain a current environment relative humidity prediction value; according to the relation between the environment temperature and the reference temperature value, the humidity prediction value is corrected, and a corrected humidity value is obtained; and based on the corrected humidity value, the operation state of the air conditioner is controlled. And the air conditioner cost is reduced while the accuracy of controlling the air conditioner based on high humidity is ensured.

Description

Technical Field

[0001] The present disclosure relates to the field of air conditioners, and particularly to an air conditioner control method, device, electronic device, and storage medium. Background Art

[0002] The temperature and humidity control, comfort control, etc. of an air conditioner are inseparable from the measurement of humidity. The traditional method for measuring humidity is to use various types of humidity sensors for measurement. However, after a long period of use, the humidity sensors will age, affecting the accuracy of humidity measurement, thereby affecting the control accuracy of the air conditioner and increasing the cost of the air conditioner.

[0003] Therefore, how to determine a more accurate method for controlling the operating state of an air conditioner based on environmental humidity is the key to improving the performance of the air conditioner. Summary of the Invention

[0004] The present disclosure aims to solve at least one of the technical problems in the related art to some extent.

[0005] A first aspect embodiment of the present disclosure provides an air conditioner control method, including:

[0006] Obtaining the operating data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located, wherein the environmental data includes environmental temperature;

[0007] Inputting the operating data and the environmental data into a preset prediction model to obtain a predicted value of the current environmental relative humidity;

[0008] Correcting the predicted humidity value according to the relationship between the environmental temperature and a reference temperature value to obtain a corrected humidity value;

[0009] Controlling the operating state of the air conditioner based on the corrected humidity value.

[0010] A second aspect embodiment of the present disclosure provides an air conditioner control device, including:

[0011] An obtaining module, configured to obtain the operating data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located, wherein the environmental data includes environmental temperature;

[0012] A processing module, configured to input the operating data and the environmental data into a preset prediction model to obtain a predicted value of the current environmental relative humidity;

[0013] A correcting module, configured to correct the predicted humidity value according to the relationship between the environmental temperature and a reference temperature value to obtain a corrected humidity value;

[0014] A control module for controlling the operating state of the air conditioner based on the corrected humidity value. An embodiment of the third aspect of the present disclosure provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the air conditioner control method proposed in the embodiment of the first aspect of the present disclosure is implemented.

[0015] An embodiment of the fourth aspect of the present disclosure provides a computer-readable storage medium storing a computer program, which when executed by a processor, implements the air conditioner control method proposed in the embodiment of the first aspect of the present disclosure. The air conditioner control method, device, electronic device, and storage medium provided by the present disclosure have the following beneficial effects: In the embodiments of the present disclosure, the relative humidity of the environment where the air conditioner is located can be predicted through a prediction model, and the operation of the air conditioner can be controlled according to the correction of the humidity prediction value to prevent condensation. Thus, while ensuring the accuracy of controlling the air conditioner based on high humidity, the cost of the air conditioner is reduced.

[0016] Additional aspects and advantages of the present disclosure will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and / or additional aspects and advantages of the present disclosure will become apparent and be readily understood from the following description of the embodiments in conjunction with the drawings, in which:

[0018] Figure 1 is a schematic flowchart of an air conditioner control method provided by an embodiment of the present disclosure;

[0019] Figure 2 is a schematic flowchart of an air conditioner control method provided by another embodiment of the present disclosure;

[0020] Figure 3 is a schematic flowchart of an air conditioner control method provided by another embodiment of the present disclosure;

[0021] Figure 4 is a schematic structural diagram of an air conditioner control device provided by an embodiment of the present disclosure;

[0022] Figure 5 shows a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] Embodiments of the present disclosure will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present disclosure, and should not be construed as a limitation of the present disclosure. The air conditioner control method, device, electronic device, and storage medium according to embodiments of the present disclosure will be described below with reference to the accompanying drawings. Figure 1 It is a schematic flowchart of an air conditioner control method provided by an embodiment of the present disclosure.

[0024] In the embodiments of the present disclosure, the air conditioner control method is configured in an air conditioner control device as an example. The air conditioner control device can be applied to any electronic device so that the electronic device can perform the functions of measuring the relative humidity of the environment where the air conditioner is located and controlling the operation of the air conditioner.

[0025] As Figure 1 shown, the air conditioner control method may include the following steps:

[0026] Step 101, obtain the operation data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located.

[0027] Among them, the operation data may include the air supply temperature at the air outlet of the air conditioner, the fan speed, the compressor frequency, etc. The environmental data includes the environmental temperature.

[0028] Step 102, input the operation data and the environmental data into a preset prediction model to obtain the predicted value of the current environmental relative humidity.

[0029] Among them, the preset prediction model may be a model obtained by training an initial prediction model based on a large amount of historical operation data and environmental data in advance. The initial prediction model may be a support vector machine prediction model, and the present disclosure does not limit this.

[0030] It should be noted that when training the prediction model, the historical environmental data may include the historically measured environmental relative humidity.

[0031] Step 103, correct the humidity predicted value according to the relationship between the environmental temperature and the reference temperature value to obtain the corrected humidity value.

[0032] Among them, the reference temperature value refers to a reference value used to judge the level of the environmental temperature. Different reference temperature values can be determined according to the climatic characteristics of the region where it is located, and the present disclosure does not limit this.

[0033] In the embodiments of the present disclosure, the predicted humidity value of the environment where the air conditioner is located can be corrected according to the magnitude relationship between the environmental temperature and the reference temperature value to obtain the most suitable humidity value at the current environmental temperature.

[0034] Optionally, when the ambient temperature is greater than or equal to the first reference temperature value, the humidity prediction value can be corrected to the allowable passing limit of indoor condensation of the air conditioner.

[0035] The first reference temperature value can be the relatively high temperature value with a high frequency of occurrence in the historical ambient temperature. For example, it can be 24 degrees.

[0036] The allowable passing limit of indoor condensation can be directly obtained through an air conditioner parameter table, etc., and is used to represent the maximum humidity value at which water vapor in the indoor air is allowed to condense into water droplets when the air conditioner is running.

[0037] It can be understood that when the humidity in the air exceeds the allowable passing limit of indoor condensation, too much water vapor in the air will condense into water droplets, resulting in moisture on the indoor walls and floors.

[0038] In the embodiments of the present disclosure, when the ambient temperature is greater than or equal to the first reference temperature value, the temperature is relatively high, and the relative humidity of the environment will be relatively low, and condensation is not likely to occur. Therefore, the humidity prediction value can be corrected to the allowable passing limit of indoor condensation of the air conditioner.

[0039] Alternatively, when the ambient temperature is less than the first reference temperature value, the humidity prediction value can be corrected based on the ambient temperature and the allowable passing limit of indoor condensation to obtain the corrected humidity value.

[0040] It should be noted that when the ambient temperature is less than the first reference temperature value, in order to correct the humidity prediction value more accurately, multiple different other reference temperature values can be determined first to form multiple gradient temperature intervals. In the embodiments of the present disclosure, when the ambient temperature is less than the first reference temperature value, the humidity prediction value can be corrected in different cases based on the temperature interval where the ambient temperature is located and the magnitude relationship between the humidity prediction value and the allowable passing limit of indoor condensation, so as to obtain the corresponding optimal humidity value at different ambient temperatures.

[0041] Step 104, control the operating state of the air conditioner based on the corrected humidity value.

[0042] In the embodiments of the present disclosure, the critical condensation inner tube temperature can be calculated based on the corrected humidity value to determine at what temperature the indoor tube of the air conditioner will produce condensation. Then, according to the logic of the relevant function book of the air conditioner, the operating state of the air conditioner (such as the compressor frequency, etc.) is controlled to adjust the temperature of the indoor tube, reduce the generation of condensation, and further adjust the relative humidity of the environment.

[0043] In the embodiments of the present disclosure, first, the operation data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located are obtained. Then, the operation data and the environmental data are input into a preset prediction model to obtain the predicted value of the current relative humidity of the environment. After that, according to the relationship between the environmental temperature and the reference temperature value, the predicted humidity value is corrected to obtain the corrected humidity value. Based on the corrected humidity value, the operation state of the air conditioner is controlled. Thus, the relative humidity of the environment where the air conditioner is located can be predicted through the prediction model, and the operation of the air conditioner can be controlled according to the correction of the predicted humidity value to prevent condensation from occurring. Thereby, while ensuring the accuracy of controlling the air conditioner based on high humidity, the cost of the air conditioner is reduced.

[0044] Figure 2 As shown in the flowchart of an air conditioner control method provided by an embodiment of the present disclosure, Figure 2 the air conditioner control method may include the following steps:

[0045] Step 201, obtain the operation data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located.

[0046] Step 202, input the operation data and the environmental data into a preset prediction model to obtain the predicted value of the current relative humidity of the environment.

[0047] For the descriptions and explanations of the above steps 201 and 202, specific reference may be made to the above embodiments, which will not be elaborated here. Step 203, when the environmental temperature is less than the first reference temperature value, determine the first humidity threshold and the second humidity threshold according to the environmental temperature and the indoor condensation allowable passing limit value.

[0048] Among them, the first humidity threshold and the second humidity threshold refer to the minimum value and the maximum value of the relative humidity range that is not prone to condensation corresponding to different environmental temperature ranges, and the first humidity threshold is less than the second humidity threshold.

[0049] It can be understood that when the relative humidity of the environment remains unchanged, the lower the environmental temperature, the easier it is to produce condensation. Therefore, the lower the environmental temperature, the smaller the corresponding humidity threshold should be in order to better control the generation of condensation based on the humidity threshold.

[0050] In the embodiments of the present disclosure, when the environmental temperature is less than the first reference temperature value, the gradient value of the reduction of the indoor condensation allowable passing limit value corresponding to the reference temperature value interval where the environmental temperature is located can be determined, and then the first humidity threshold and the second humidity threshold can be calculated based on the indoor condensation allowable passing limit value and the gradient value.

[0051] Optionally, when the ambient temperature is greater than or equal to the second reference temperature value, the first humidity threshold can be determined as the difference between the indoor condensation allowable passing limit value and the first gradient value, and the second humidity threshold is the indoor condensation allowable passing limit value. Among them, the second reference temperature value is a reference temperature value less than the first reference temperature value, for example, it can be 21 degrees. The first gradient value can be determined according to the corresponding relationship between the ambient temperature and the relative humidity, etc., and the present disclosure does not limit this, for example, it can be 5%.

[0052] Alternatively, when the ambient temperature is less than the second reference temperature value and greater than or equal to the third reference temperature value, the first humidity threshold can be determined as the difference between the indoor condensation allowable passing limit value and the second gradient value, and the second humidity threshold is the difference between the indoor condensation allowable passing limit value and the first gradient value.

[0053] Among them, the third reference temperature value is a reference temperature value less than the second reference temperature value, for example, it can be 18 degrees. The second gradient value is a value greater than the first gradient value, for example, it can be 10%.

[0054] Alternatively, when the ambient temperature is less than the third reference temperature value, the first humidity threshold can be determined as the difference between the indoor condensation allowable passing limit value and the third gradient value, and the second humidity threshold is the difference between the indoor condensation allowable passing limit value and the second gradient value.

[0055] Among them, the third gradient value is a value greater than the second gradient value, for example, it can be 15%.

[0056] Step 204, according to the relationship between the humidity prediction value and the first humidity threshold and the second humidity threshold respectively, correct the humidity prediction value to obtain the corrected humidity value.

[0057] It can be understood that since the first humidity threshold is less than the second humidity threshold, the relationship between the humidity prediction value and the first humidity threshold and the second humidity threshold can be any one of the relationships that the humidity prediction value is less than the first humidity threshold, the humidity prediction value is greater than or equal to the first humidity threshold and less than the second humidity threshold, and the humidity prediction value is greater than or equal to the second humidity threshold.

[0058] In the embodiments of the present disclosure, the humidity prediction value can be corrected in different cases based on the relationship between the humidity prediction value and the first humidity threshold and the second humidity threshold.

[0059] Optionally, when the humidity prediction value is greater than or equal to the first humidity threshold and less than the second humidity threshold, the humidity prediction value is more in line with the relative humidity requirement of the environment. Therefore, the humidity prediction value can be not corrected, that is, the corrected humidity value is the humidity prediction value.

[0060] Alternatively, when the predicted humidity value is greater than or equal to the second humidity threshold, or less than the first humidity threshold, the first humidity threshold can be determined as the corrected humidity value.

[0061] It can be understood that when the predicted humidity value is greater than or equal to the second humidity threshold, the environment is humid and condensation is likely to occur. Therefore, the predicted humidity value can be corrected to the lower first humidity threshold. Alternatively, when the predicted humidity value is less than the first humidity threshold, the environment is dry. At this time, the comfort level of the environment can be improved by correcting the predicted humidity value to the higher first humidity threshold.

[0062] Step 205: Control the operating state of the air conditioner based on the corrected humidity value.

[0063] For the description of the above step 205, specific reference can be made to the above embodiments and will not be elaborated here. In the embodiments of the present disclosure, after obtaining the predicted humidity value output by the prediction model, first determine the first humidity threshold and the second humidity threshold according to the ambient temperature and the indoor condensation allowable passing limit value, and then correct the predicted humidity value according to the relationship between the predicted humidity value and the first humidity threshold and the second humidity threshold to obtain the corrected humidity value. Thus, by correcting the predicted humidity value based on the humidity threshold determined by the ambient temperature and the indoor condensation allowable passing limit value, the accuracy and reliability of the air conditioner in adjusting the relative humidity of the environment are improved, and the efficiency of air conditioner control is improved.

[0064] Figure 3 The following is a schematic flowchart of an air conditioner control method provided by an embodiment of the present disclosure. As Figure 3 shown, the air conditioner control method may include the following steps:

[0065] Step 301: Obtain the operating data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located.

[0066] Step 302: Input the operating data and the environmental data into a preset prediction model to obtain the current predicted value of the relative humidity of the environment.

[0067] Step 303: Correct the predicted humidity value according to the relationship between the ambient temperature and the reference temperature value to obtain the corrected humidity value.

[0068] For the description of the above steps 301 to 303, specific reference can be made to the above embodiments and will not be elaborated here. Step 304: Calculate the condensation critical inner tube temperature based on the corrected humidity value.

[0069] In the embodiments of the present disclosure, the dew point temperature can be calculated first according to the corrected humidity value and the ambient temperature, and its calculation formula (1) can be expressed as follows:

[0070] T_dew = [(156×T 内环 + 17075)×RH 相对湿度 +(870×T 内环 - 16863)] / 1024 (1)

[0071] Wherein, T_dew is the dew point temperature at which water vapor in the air begins to condense into liquid water due to cooling, T 内环 is the temperature of the indoor environment where the air conditioner is located, and RH 相对湿度 is the corrected relative humidity value.

[0072] Then, using the dew point temperature, substitute it into the following formula (2) to calculate the condensation critical inner tube temperature. Formula (2) is:

[0073] T 凝露临界内管温 =

[0074] T_dew - K 导风板角度修正系数 ×ΔT 防凝露临界温差 + K 风感修正系数 ×ΔT 风感防凝露温差 (2) Wherein, K 导风板角度修正系数 , ΔT 防凝露临界温差 , K 风感修正系数 , ΔT 风感防凝露温差 are E-square parameters describing the performance of the air conditioner.

[0075] Step 305, adjust the compressor frequency of the air conditioner according to the relationship between the condensation critical inner tube temperature and the indoor tube temperature of the air conditioner.

[0076] In the embodiments of the present disclosure, the frequency of the compressor can be controlled based on the magnitude relationship between the condensation critical inner tube temperature and the measured indoor tube temperature of the air conditioner according to the logic of the function book equipped when the air conditioner leaves the factory, so as to increase or decrease the indoor tube temperature to prevent condensation from occurring.

[0077] Optionally, when the indoor tube temperature of the air conditioner is greater than the first temperature threshold, the compressor frequency can be maintained at a preset frequency. Wherein, the first temperature threshold is the sum of the condensation critical inner tube temperature and the first adjustment value.

[0078] In addition, the first adjustment value can be a temperature difference determined according to requirements such as control accuracy. For example, it can be 6 degrees. The preset frequency is the compressor frequency when the air conditioner operates normally.

[0079] It can be understood that when the indoor tube temperature of the air conditioner is greater than the first temperature threshold, the temperature of the indoor tube is relatively high and it is not easy to generate condensation. Therefore, the air conditioner can operate normally at the preset frequency.

[0080] Alternatively, when the indoor pipe temperature of the air conditioner is less than or equal to the first temperature threshold and greater than the second temperature threshold, the frequency of the compressor can be controlled to increase at a first rate. Wherein, the second temperature threshold is the sum of the condensation critical inner pipe temperature and a second adjustment value.

[0081] Wherein, the second adjustment value is a temperature difference less than the first adjustment value, for example, it can be 1 degree. The first rate can be a value determined according to air conditioner parameters, etc., for example, it can be 2Hz / 150s, and the present disclosure does not limit this.

[0082] In the embodiments of the present disclosure, when the indoor pipe temperature is less than or equal to the first temperature threshold and greater than the second temperature threshold, the indoor pipe temperature is greater than the condensation critical inner pipe temperature. Therefore, the frequency of the compressor can be controlled to slowly increase at a first rate to appropriately increase the compressor frequency and increase the cooling capacity of the air conditioner.

[0083] Alternatively, when the indoor pipe temperature of the air conditioner is greater than the condensation critical inner pipe temperature and less than or equal to the first temperature threshold, the frequency of the compressor can be kept unchanged.

[0084] In the embodiments of the present disclosure, when the indoor pipe temperature is greater than the condensation critical inner pipe temperature and less than or equal to the first temperature threshold, the indoor pipe temperature is close to the condensation critical point. At this time, if the compressor frequency is increased, the indoor pipe temperature may be reduced to the condensation critical inner pipe temperature, resulting in condensation, or if the compressor frequency is reduced, the cooling effect of the air conditioner may be affected. Therefore, when the indoor pipe temperature of the air conditioner is greater than the condensation critical inner pipe temperature and less than or equal to the first temperature threshold, the frequency of the compressor can be kept running at the current frequency.

[0085] Alternatively, when the indoor pipe temperature of the air conditioner is less than or equal to the condensation critical inner pipe temperature, the compressor frequency can be controlled to decrease at a second rate.

[0086] Wherein, the second rate can be a value determined according to air conditioner parameters, etc., for example, it can be 2Hz / 210s, and the present disclosure does not limit this. In the embodiments of the present disclosure, when the indoor pipe temperature of the air conditioner is less than or equal to the condensation critical inner pipe temperature, the indoor pipe temperature is relatively low and condensation is likely to occur. Therefore, the frequency of the compressor can be controlled to slowly decrease at a second rate to reduce the cooling capacity of the air conditioner, increase the indoor pipe temperature, and reduce the generation of condensation.

[0087] In this embodiment, based on the corrected humidity value, the condensation critical inner pipe temperature is first calculated, and then the frequency of the compressor of the air conditioner is adjusted according to the relationship between the condensation critical inner pipe temperature and the indoor pipe temperature of the air conditioner. Thus, by controlling the frequency of the compressor of the air conditioner in stages, the accuracy and reliability of the air conditioner control are improved, and the comfort of the air conditioner environment is further improved.

[0088] To implement the above embodiments, the present disclosure also provides an air conditioner control device.

[0089] Figure 4 It is a schematic structural diagram of the air conditioner control device provided by the embodiments of the present disclosure.

[0090] As Figure 4 shown, the air conditioner control device 400 may include:

[0091] An acquisition module 401, configured to acquire the operation data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located, wherein the environmental data includes the environmental temperature;

[0092] A processing module 402, configured to input the operation data and the environmental data into a preset prediction model to obtain a predicted value of the current environmental relative humidity;

[0093] A correction module 403, configured to correct the humidity prediction value according to the relationship between the environmental temperature and the reference temperature value to obtain a corrected humidity value;

[0094] A control module 404, configured to control the operation state of the air conditioner based on the corrected humidity value.

[0095] In some embodiments, the correction module 403 is specifically configured to:

[0096] When the environmental temperature is greater than or equal to the first reference temperature value, correct the humidity prediction value to the allowable passing limit of indoor condensation of the air conditioner; or,

[0097] When the environmental temperature is less than the first reference temperature value, correct the humidity prediction value based on the environmental temperature and the allowable passing limit of indoor condensation to obtain a corrected humidity value.

[0098] In some embodiments, the correction module 403 is specifically configured to:

[0099] Determine a first humidity threshold and a second humidity threshold according to the environmental temperature and the allowable passing limit of indoor condensation; correct the humidity prediction value according to the relationship between the humidity prediction value and the first humidity threshold and the second humidity threshold respectively to obtain a corrected humidity value.

[0100] In some embodiments, the correction module 403 is specifically configured to:

[0101] When the environmental temperature is greater than or equal to the second reference temperature value, determine that the first humidity threshold is the difference between the allowable passing limit of indoor condensation and the first gradient value, and the second humidity threshold is the allowable passing limit of indoor condensation;

[0102] When the ambient temperature is less than the second reference temperature value and greater than or equal to the third reference temperature value, determine that the first humidity threshold is the difference between the indoor condensation allowable passing limit value and the second gradient value, and the second humidity threshold is the difference between the indoor condensation allowable passing limit value and the first gradient value;

[0103] When the ambient temperature is less than the third reference temperature value, determine that the first humidity threshold is the difference between the indoor condensation allowable passing limit value and the third gradient value, and the second humidity threshold is the difference between the indoor condensation allowable passing limit value and the second gradient value. In some embodiments, the correction module 403 is specifically configured to:

[0104] When the humidity prediction value is greater than or equal to the first humidity threshold and less than the second humidity threshold, determine that the corrected humidity value is the humidity prediction value;

[0105] When the humidity prediction value is greater than or equal to the second humidity threshold, or the humidity prediction value is less than the first humidity threshold, determine the first humidity threshold as the corrected humidity value.

[0106] In some embodiments, the control module 404 is specifically configured to:

[0107] Based on the corrected humidity value, calculate the condensation critical inner pipe temperature;

[0108] According to the relationship between the condensation critical inner pipe temperature and the indoor pipe temperature of the air conditioner, adjust the compressor frequency of the air conditioner. In some embodiments, the control module 404 is specifically configured to:

[0109] When the indoor pipe temperature of the air conditioner is greater than the first temperature threshold, keep the compressor frequency at the preset frequency, where the first temperature threshold is the sum of the condensation critical inner pipe temperature and the first adjustment value;

[0110] When the indoor pipe temperature of the air conditioner is less than or equal to the first temperature threshold and greater than the second temperature threshold, control the frequency of the compressor to increase at the first rate, where the second temperature threshold is the sum of the condensation critical inner pipe temperature and the second adjustment value;

[0111] When the indoor pipe temperature of the air conditioner is greater than the condensation critical inner pipe temperature and less than or equal to the first temperature threshold, keep the compressor frequency unchanged;

[0112] When the indoor pipe temperature of the air conditioner is less than or equal to the condensation critical inner pipe temperature, control the compressor frequency to decrease at the second rate.

[0113] For the functions and specific implementation principles of the above modules in the embodiments of the present disclosure, reference may be made to the above method embodiments, and details are not described herein again.

[0114] The air conditioner control device according to an embodiment of the present disclosure first obtains the operation data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located, and then inputs the operation data and the environmental data into a preset prediction model to obtain the current predicted value of the environmental relative humidity. After that, according to the relationship between the environmental temperature and the reference temperature value, the predicted humidity value is corrected to obtain the corrected humidity value. Then, based on the corrected humidity value, the operation state of the air conditioner is controlled. Thus, the relative humidity of the environment where the air conditioner is located can be predicted through the prediction model, and the operation of the air conditioner can be controlled according to the correction of the predicted humidity value to prevent condensation from occurring. Thereby, while ensuring the accuracy of controlling the air conditioner based on high humidity, the cost of the air conditioner is reduced. To implement the above embodiment, the present disclosure also proposes an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the air conditioner control method proposed in the foregoing embodiment of the present disclosure is implemented.

[0115] To implement the above embodiment, the present disclosure also proposes a computer-readable storage medium storing a computer program, which when executed by a processor, implements the air conditioner control method proposed in the foregoing embodiment of the present disclosure.

[0116] Figure 5 A block diagram of an exemplary electronic device suitable for implementing the embodiments of the present disclosure is shown. Figure 5 The illustrated electronic device 12 is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present disclosure. As Figure 5 shown, the electronic device 12 is presented in the form of a general-purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

[0117] The bus 18 represents one or more of several types of bus architectures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the multiple bus architectures. By way of example, these architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnection (PCI) bus.

[0118] The electronic device 12 typically includes various computer system-readable media. These media can be any available media accessible to the electronic device 12, including volatile and non-volatile media, removable and non-removable media. The memory 28 may include computer system-readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 can be used to read and write non-removable, non-volatile magnetic media ( Figure 5 not shown, commonly referred to as a "hard disk drive"). Although Figure 5 not shown in the figure, a disk drive for reading and writing removable non-volatile disks (such as "floppy disks") and an optical disk drive for reading and writing removable non-volatile optical disks (such as compact disc read only memory (CD-ROM), digital video disc read only memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 through one or more data media interfaces. The memory 28 may include at least one program product having a set (such as at least one) of program modules configured to perform the functions of the embodiments of the present disclosure.

[0119] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods in the embodiments described in the present disclosure.

[0120] The electronic device 12 can also communicate with one or more external devices 14 (such as a keyboard, a pointing device, a display 24, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device 12, and / or communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication can be carried out through the input / output (I / O) interface 22. Moreover, the electronic device 12 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the electronic device 12 through the bus 18. It should be understood that although not shown in the figure, other hardware and / or software modules can be used in combination with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0121] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the methods mentioned in the foregoing embodiments.

[0122] The technical solution of the present disclosure can predict the relative humidity of the environment where the air conditioner is located through a prediction model, and control the operation of the air conditioner according to the correction of the humidity prediction value to prevent condensation from occurring. Thus, while ensuring the accuracy of controlling the air conditioner based on high humidity, the cost of the air conditioner is reduced.

[0123] In the description of this specification, the descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0124] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present disclosure, "a plurality of" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0125] Any process or method description represented in a flowchart or described otherwise herein may be understood to represent code for an executable instruction including one or more steps for implementing a customized logic function or process, a module, a fragment, or a portion thereof, and the scope of the preferred embodiments of the present disclosure includes additional implementations, where functions may be executed in a substantially simultaneous manner or in an order opposite to that shown or discussed, according to the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure pertain.

[0126] The logic and / or steps represented in a flowchart or described otherwise herein, for example, may be considered as an ordered listing of executable instructions for implementing a logical function and may be specifically implemented in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device. For the purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable medium on which the program can be printed, as the program can be obtained, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other appropriate processing as necessary to obtain the program in electronic form and then storing it in a computer memory.

[0127] It should be understood that the various parts of the present disclosure can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0128] Those of ordinary skill in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0129] In addition, in each embodiment of the present disclosure, the functional units can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the above integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0130] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. An air conditioner control method, characterized in that, Including: Obtain the operation data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located, wherein the environmental data includes the environmental temperature; Input the operation data and the environmental data into a preset prediction model to obtain the current predicted value of the environmental relative humidity; Correct the humidity predicted value according to the relationship between the environmental temperature and the reference temperature value to obtain the corrected humidity value; Control the operation state of the air conditioner based on the corrected humidity value.

2. The method according to claim 1, characterized in that The step of correcting the humidity predicted value according to the relationship between the environmental temperature and the reference temperature value to obtain the corrected humidity value includes: When the environmental temperature is greater than or equal to the first reference temperature value, correct the humidity predicted value to the indoor condensation allowable passing limit value of the air conditioner; or, When the environmental temperature is less than the first reference temperature value, correct the humidity predicted value based on the environmental temperature and the indoor condensation allowable passing limit value to obtain the corrected humidity value.

3. The method according to claim 2, wherein The step of correcting the humidity predicted value based on the environmental temperature and the indoor condensation allowable passing limit value to obtain the corrected humidity value includes: Determine a first humidity threshold and a second humidity threshold according to the environmental temperature and the indoor condensation allowable passing limit value; Correct the humidity predicted value according to the relationship between the humidity predicted value and the first humidity threshold and the second humidity threshold respectively to obtain the corrected humidity value.

4. The method according to claim 3, characterized in that, The step of determining a first humidity threshold and a second humidity threshold according to the environmental temperature and the indoor condensation allowable passing limit value includes: When the environmental temperature is greater than or equal to the second reference temperature value, determine the first humidity threshold as the difference between the indoor condensation allowable passing limit value and the first gradient value, and the second humidity threshold as the indoor condensation allowable passing limit value; When the environmental temperature is less than the second reference temperature value and greater than or equal to the third reference temperature value, determine the first humidity threshold as the difference between the indoor condensation allowable passing limit value and the second gradient value, and the second humidity threshold as the difference between the indoor condensation allowable passing limit value and the first gradient value; When the environmental temperature is less than the third reference temperature value, determine the first humidity threshold as the difference between the indoor condensation allowable passing limit value and the third gradient value, and the second humidity threshold as the difference between the indoor condensation allowable passing limit value and the second gradient value.

5. The method according to claim 4, characterized in that The step of correcting the humidity predicted value according to the relationship between the humidity predicted value and the first humidity threshold and the second humidity threshold respectively to obtain the corrected humidity value includes: When the humidity predicted value is greater than or equal to the first humidity threshold and less than the second humidity threshold, determine the corrected humidity value as the humidity predicted value; When the humidity predicted value is greater than or equal to the second humidity threshold, or the humidity predicted value is less than the first humidity threshold, determine the first humidity threshold as the corrected humidity value.

6. The method according to any one of claims 1-5, characterized in that, Based on the corrected humidity value, controlling the operating state of the air conditioner includes: Calculating the dew condensation critical inner tube temperature based on the corrected humidity value; Adjusting the compressor frequency of the air conditioner according to the relationship between the dew condensation critical inner tube temperature and the indoor tube temperature of the air conditioner.

7. The method according to claim 6, wherein The adjusting the compressor frequency of the air conditioner according to the relationship between the dew condensation critical inner tube temperature and the indoor tube temperature of the air conditioner includes: When the indoor tube temperature of the air conditioner is greater than the first temperature threshold, keeping the compressor frequency at a preset frequency, where the first temperature threshold is the sum of the dew condensation critical inner tube temperature and the first adjustment value; When the indoor tube temperature of the air conditioner is less than or equal to the first temperature threshold and greater than the second temperature threshold, controlling the frequency of the compressor to increase at a first rate, where the second temperature threshold is the sum of the dew condensation critical inner tube temperature and the second adjustment value; When the indoor tube temperature of the air conditioner is greater than the dew condensation critical inner tube temperature and less than or equal to the first temperature threshold, keeping the frequency of the compressor unchanged; When the indoor tube temperature of the air conditioner is less than or equal to the dew condensation critical inner tube temperature, controlling the compressor frequency to decrease at a second rate.

8. An air conditioner control device, characterized in that, Including: An acquisition module for acquiring the operating data of the air conditioner on the current day and the environmental data of the environment where the air conditioner is located, where the environmental data includes the environmental temperature; A processing module for inputting the operating data and the environmental data into a preset prediction model to obtain a current predicted value of the environmental relative humidity; A correction module for correcting the humidity prediction value according to the relationship between the environmental temperature and the reference temperature value to obtain a corrected humidity value; A control module for controlling the operating state of the air conditioner based on the corrected humidity value.

9. An electronic device, characterized in that, Including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the air conditioner control method according to any one of claims 1-7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the air conditioner control method according to any one of claims 1-7 is implemented.

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