Air conditioner control method and apparatus, and air conditioner and storage medium

Abstract

The present application provides an air conditioner control method and apparatus, and an air conditioner and a storage medium. The method comprises: on the basis of environmental features at the current moment and various operation parameter combinations of an air conditioner, predicting compensation temperatures of the various operation parameter combinations at the next moment; determining apparent temperatures corresponding to the various operation parameter combinations on the basis of a return air temperature and the compensation temperatures; and determining a target operation parameter combination on the basis of a set temperature and the apparent temperatures, and controlling the operation of the air conditioner on the basis of the target operation parameter combination.

Description

Air conditioner control method, device, air conditioner and storage medium

[0001] This application claims priority to Chinese patent application No. 202311086693.6 filed on August 25, 2023, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the technical field of air conditioners, and in particular to an air conditioner control method, device, air conditioner, and storage medium. Background Art

[0003] Due to factors such as the installation location and airflow conditions, there may be a discrepancy between the return air temperature and the perceived temperature in the room during the cooling / heating process of the air conditioner.

[0004] In existing air conditioners, the process of adjusting indoor temperature primarily relies on the return air temperature recorded by the air conditioner, which is then controlled accordingly. If the return air temperature recorded by the air conditioner is inconsistent with the perceived temperature in the room, the air conditioner cannot accurately adjust the indoor temperature to the user's set target temperature. Technical issues

[0005] The main purpose of this application is to provide an air conditioner control method, device, air conditioner and storage medium, aiming to solve the technical problem in the prior art that there is a certain difference between the return air temperature and the perceived temperature in the room, and the air conditioner is adjusted according to the return air temperature, and cannot accurately adjust the indoor temperature. Technical Solutions

[0006] To achieve the above object, the present application provides an air conditioner control method, which includes the following steps:

[0007] Predicting the compensation temperature of various operating parameter combinations at the next moment based on the current environmental characteristics and various operating parameter combinations of the air conditioner;

[0008] Determining the perceived temperature corresponding to various operating parameter combinations based on the return air temperature and the compensation temperature; and

[0009] A target operating parameter combination is determined according to the set temperature and the perceived temperature, and the operation of the air conditioner is controlled according to the target operating parameter combination.

[0010] In one embodiment, the method of predicting the compensation temperature of various operating parameter combinations at the next moment based on the current environmental characteristics and various operating parameter combinations of the air conditioner includes:

[0011] Inputting the current environmental characteristics and various operating parameter combinations of the air conditioner into the return air temperature prediction model to predict the return air temperature of various operating parameter combinations at the next moment; and

[0012] The method of predicting the compensation temperature of various operating parameter combinations at the next moment based on the current environmental characteristics and various operating parameter combinations of the air conditioner includes:

[0013] The environmental characteristics at the current moment and various operating parameter combinations of the air conditioner are input into a compensation temperature prediction model to predict the compensation temperature of various operating parameter combinations at the next moment.

[0014] In one embodiment, before inputting the current environmental characteristics and various operating parameters of the air conditioner into the compensation temperature prediction model to predict the compensation temperature of various operating parameter groups at the next moment, the method includes:

[0015] Collect environmental and operational data within each time period;

[0016] Traversing the environmental and operating data within each time period, extracting the return air characteristics of the current time period and the return air temperature of the next time period; and

[0017] The return air temperature prediction model is trained by taking the return air characteristics of the current time period as the independent variable and the return air temperature of the next time period as the dependent variable.

[0018] In one embodiment, before inputting the environmental characteristics and the various operating parameter combinations into the compensated temperature prediction model to predict the compensated temperature of the various operating parameter combinations at the next moment, the method includes:

[0019] Collect environmental and operational data within each time period;

[0020] Traversing the environmental and operating data within each time period, extracting the compensation characteristics of the current time period and the compensation temperature of the next time period; and

[0021] The compensation characteristic temperature prediction model is trained by taking the compensation characteristic of the current time period as an independent variable and the compensation characteristic temperature of the next time period as a dependent variable.

[0022] In one embodiment, determining the target operating parameter combination according to the body-sensed temperature and the target temperature at the current time point includes:

[0023] Calculating a set of temperature differences between the target temperature at the current time point and the perceived temperatures corresponding to various operating parameter combinations; and

[0024] determining a target operating parameter combination according to the temperature difference set;

[0025] The air conditioner operation is controlled according to the target operation parameter combination.

[0026] In one embodiment, determining a target operating parameter combination according to the temperature difference set includes:

[0027] Get the target temperature difference threshold;

[0028] Selecting a subset of temperature difference values ​​less than or equal to the target temperature difference threshold from the temperature difference value set; and

[0029] The operating parameter combination corresponding to any temperature difference value in the temperature difference value subset is used as the target operating parameter combination.

[0030] In one embodiment, determining a target operating parameter combination according to the temperature difference set includes:

[0031] Obtaining the temperature difference with the smallest absolute value in the temperature difference set; and

[0032] The operating parameter combination corresponding to the temperature difference is used as the target operating parameter combination.

[0033] In addition, to achieve the above-mentioned purpose, the present application also proposes an air conditioner control device, wherein the air conditioner control device includes:

[0034] The temperature prediction module is used to predict the compensation temperature of various operating parameter combinations at the next moment based on the current environmental characteristics and various operating parameter combinations of the air conditioner;

[0035] a temperature determination module, configured to determine the perceived temperature corresponding to various operating parameter combinations based on the return air temperature and the compensation temperature; and

[0036] The air conditioner control module is used to determine a target operating parameter combination according to the set temperature and the body temperature, and control the operation of the air conditioner according to the target operating parameter combination.

[0037] In addition, to achieve the above-mentioned purpose, the present application also proposes an air conditioner, which includes: a memory, a processor, and an air conditioner control program stored in the memory and runnable on the processor. When the air conditioner control program is executed by the processor, the air conditioner control method is implemented.

[0038] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, on which an air conditioner control program is stored. When the air conditioner control program is executed by a processor, the air conditioner control method is implemented. Beneficial effects

[0039] The present application provides an air conditioner control method, device, air conditioner, and storage medium. The method predicts the compensation temperature of various operating parameter combinations at the next moment based on the current environmental characteristics and various operating parameter combinations of the air conditioner; determines the perceived temperature corresponding to the various operating parameter combinations based on the return air temperature and the compensation temperature; determines the target operating parameter combination based on the set temperature and the perceived temperature, and controls the operation of the air conditioner based on the target operating parameter combination. The present application predicts the compensation temperature at the next moment based on the environmental characteristics and various operating parameter combinations of the air conditioner, uses the return air temperature and the perceived temperature at the previous moment under the compensation temperature, and then controls the operation of the air conditioner based on the temperature set by the user and the perceived temperature at the next moment, thereby using the perceived temperature to control the air conditioner and more accurately adjust the indoor temperature. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] FIG1 is a schematic structural diagram of an air conditioner in a hardware operating environment according to an embodiment of the present application;

[0041] FIG2 is a flow chart of a first embodiment of the air conditioner control method of the present application;

[0042] FIG3 is a flow chart of a second embodiment of the air conditioner control method of the present application;

[0043] FIG4 is a flow chart of a third embodiment of the air conditioner control method of the present application;

[0044] FIG5 is a structural block diagram of the first embodiment of the air conditioner control device of the present application.

[0045] The realization of the objectives, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. Modes for Carrying Out the Invention

[0046] It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0047] Refer to Figure 1, which is a schematic diagram of the air conditioner structure of the hardware operating environment involved in the embodiment of the present application.

[0048] As shown in Figure 1, the air conditioner may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen. The user interface 1003 may also include a standard wired interface or a wireless interface. In this application, the wired interface of the user interface 1003 may be a USB interface. The network interface 1004 may include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (RAM) or a non-volatile memory (NVM), such as a disk drive. The memory 1005 may also be a storage device independent of the processor 1001.

[0049] Those skilled in the art will appreciate that the structure shown in FIG1 does not limit the air conditioner and may include more or fewer components than shown, or a combination of certain components, or a different arrangement of components.

[0050] As shown in FIG. 1 , the memory 1005 , which is identified as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an air conditioner control program.

[0051] In the air conditioner shown in Figure 1, the network interface 1004 is mainly used to connect to the background server and communicate data with the background server; the user interface 1003 is mainly used to connect the user air conditioner; the air conditioner controls the air conditioner by calling the air conditioner control program stored in the memory 1005 through the processor 1001, and executing the air conditioner control method provided in the embodiment of the present application.

[0052] Based on the above hardware structure, an embodiment of the air conditioner control method of the present application is proposed.

[0053] 2 , which is a flow chart of a first embodiment of an air conditioner control method of the present application, provides a first embodiment of an air conditioner control method of the present application.

[0054] In a first embodiment, the air conditioner control method includes the following steps:

[0055] Step S10: predicting the compensation temperature of various operating parameter combinations at the next moment based on the environmental characteristics at the current moment and various operating parameter combinations of the air conditioner.

[0056] It should be understood that the execution subject of this embodiment can be the air conditioner or the central controller of the air conditioner, which has functions such as data processing, data communication, and program execution. In one embodiment, the central controller of the air conditioner is used as the execution subject for description.

[0057] It should be noted that the environmental characteristics at the current moment refer to the environmental information in the current state when the air conditioner is operating normally. These environmental characteristics may include information such as outdoor temperature, indoor humidity, and the indoor return air temperature collected by the air conditioner. The various operating parameter combinations of the air conditioner refer to the possible operating parameter combinations of the air conditioner at the next moment. These various operating parameter combinations are related to the operating parameter combinations at the current moment and the air conditioner's adjustment capabilities. The stronger the air conditioner's adjustment capabilities, the greater the number of operating parameter combinations corresponding to the next moment. For example, if the internal fan speed is 60 rpm at the current moment and the air conditioner can adjust 5 rpm within a cycle, the internal fan speed may be anywhere between 55 and 65 rpm at the next moment. The operating parameter combinations may include parameters such as the frequency of the air conditioner's compressor, the speed of the internal fan, and the speed of the external fan.

[0058] It should be understood that compensation temperature refers to the temperature used to compensate for the return air temperature when the return air temperature collected by the air conditioner is inaccurate. This compensation temperature is the difference between the return air temperature and the perceived temperature. The compensation temperature is typically related to the air conditioner's current operating environment and operating conditions. The compensation temperature varies under different ambient temperatures and also under different operating conditions. Therefore, determining the compensation temperature requires pre-recording the current ambient temperature and the specific operating parameters of the air conditioner.

[0059] In one embodiment, the environmental characteristics of the environment in which the air conditioner is currently located and the operating parameter combination of the air conditioner at the current moment can be collected first, and then the various operating parameter combinations that may exist in the air conditioner at the next moment can be determined based on the operating parameter combination; then the operating parameter combination and the environmental characteristics at the current moment are selected one by one to predict the compensation temperature corresponding to the operating parameter combination at the next moment, thereby obtaining the compensation temperature corresponding to the various operating parameter combinations at the next moment.

[0060] Step S20: determining the perceived temperature corresponding to various operating parameter combinations according to the return air temperature and the compensation temperature.

[0061] It should be understood that the perceived temperature is the temperature a user feels in a room. This perceived temperature can be the average room temperature or the ambient temperature around the user. Considering user comfort, the user's comfort is optimal when this perceived temperature is the user's set temperature.

[0062] Furthermore, as discussed above, the compensation temperature is used to compensate for the difference between the return air temperature and the indoor temperature. Therefore, once the return air temperature and the compensation temperature have been determined, the compensation temperatures corresponding to the various operating parameters can be directly calculated with the return air temperature based on the return air temperature and the corresponding compensation temperatures for each operating parameter combination, thereby determining the perceived temperature corresponding to each operating parameter combination at the next moment. When determining the perceived temperature, the formula Tg = Th - Tb can be used; where Th is the return air temperature and Tb is the compensation temperature.

[0063] Step S30: determining a target operating parameter combination according to the set temperature and the perceived temperature, and controlling the operation of the air conditioner according to the target operating parameter combination.

[0064] It should be understood that when the perceived temperatures corresponding to various operating parameter combinations at the next moment have been determined, the perceived temperature that is most comfortable for the user at the next moment can be selected, and then the air conditioner can be controlled using the parameter operating combination corresponding to the perceived temperature. The perceived temperature can be adjusted to the most comfortable temperature among the perceived temperatures corresponding to various operating parameter combinations at the next moment.

[0065] It should be noted that the set temperature is the temperature pre-set by the user on the air conditioner. The set temperature can be identified as the user's target temperature or the most comfortable temperature. The target operating parameter combination is the operating parameter combination corresponding to the perceived temperature that significantly improves the user's comfort. For example, if the set temperature is 25 degrees Celsius, the first set of operating parameter combinations can reduce the temperature at the next moment to 26.1 degrees Celsius, and the second set of operating parameter combinations can reduce the temperature at the next moment to 26.0 degrees Celsius. At this time, relatively speaking, the perceived temperature of the second set of operating parameter combinations at the next moment is closer to the set temperature, and the user's comfort is significantly improved. At this time, the second set of operating parameter combinations is the target operating parameter combination.

[0066] In one embodiment, the user's set temperature can be obtained first, and then the perceived temperature corresponding to various operating parameter combinations at the next moment can be compared with the set temperature. The target temperature can be selected from the perceived temperature year at the next moment, and the operating parameter combination corresponding to the target temperature can be used as the target operating parameter combination. The air conditioner can then be controlled to operate according to the target operating parameter combination, thereby significantly improving the user's comfort at the next moment.

[0067] In a first embodiment, an air conditioner control method is provided. The method predicts compensation temperatures for various operating parameter combinations at a given moment based on current environmental characteristics and various operating parameter combinations of the air conditioner; determines perceived temperatures corresponding to the various operating parameter combinations based on the return air temperature and the compensation temperatures; determines a target operating parameter combination based on a set temperature and the perceived temperature; and controls the operation of the air conditioner based on the target operating parameter combination. In one embodiment, the compensation temperature at the given moment is predicted based on the environmental characteristics and various operating parameter combinations of the air conditioner; the return air temperature and the perceived temperature at the previous moment at the compensation temperature are used; and the air conditioner operation is then controlled based on the user-set temperature and the perceived temperature at the next moment. Thus, the perceived temperature is used to control the air conditioner, thereby more accurately adjusting the indoor temperature.

[0068] 3 , which is a flow chart of a second embodiment of the air conditioner control method of the present application, the second embodiment of the air conditioner control method of the present application is proposed based on the first embodiment shown in FIG. 2 .

[0069] In the second embodiment, before step S10, the method further includes:

[0070] Step S01: Inputting the current environmental characteristics and various operating parameter combinations of the air conditioner into a return air temperature prediction model to predict the return air temperature of various operating parameter combinations at the next moment.

[0071] It should be noted that in determining the compensation temperature at the next moment, in order to more accurately determine the perceived temperature at the next moment, in one embodiment, the return air temperature at the next moment and the compensation temperature at the next moment can be used to determine the perceived temperature. The return air temperature at the next moment can be predicted based on factors such as the return air temperature collected at the current moment, the indoor temperature, the indoor humidity, the compressor frequency of the air conditioner, and the speed of the indoor and outdoor fans.

[0072] The return air temperature preset model is used to predict the return air temperature collected by the air conditioner at the next moment. The return air temperature preset model can accurately predict the return air temperature at the next moment based on environmental characteristics and the operating conditions of the air conditioner.

[0073] In one embodiment, the possible operating parameter combinations of the air conditioner at the next moment can be combined with the environmental characteristics collected at the current moment, and then input into the return air temperature preset model to predict the return air temperature corresponding to each operating parameter combination at the next moment. Of course, it is also possible to first input the environmental characteristics into the return air temperature prediction model, and then input each operating parameter combination into the return air temperature prediction module one by one to predict the return air temperature corresponding to each operating parameter combination at the next moment.

[0074] Wherein, before step S01, the following steps are also included:

[0075] Step S011: Collecting environmental and operating data within each time period.

[0076] It is understood that before using the return air temperature prediction model to predict the return air temperature at the next moment, an accurate return air temperature prediction model must be obtained. Typically, the model is obtained through training. To ensure the accuracy of the output results of the return air temperature prediction model, in one embodiment, environmental and operating data can be collected for each time period while the air conditioner is in operation.

[0077] Environmental and operational data includes information such as indoor temperature, outdoor temperature, return air temperature, and indoor humidity during air conditioner operation; operating information such as the compressor frequency and internal and external fan speeds; and user-generated operational data. Environmental and operational data can be acquired through experiments or by analyzing historical user home environments. The time period is a pre-set period for collecting environmental and operational data. This time period can be set while the air conditioner is operating normally. For example, environmental and operational data can be collected over a 30-second or 1-minute period.

[0078] Step S012: traverse the environmental and operating data in each time period, and extract the return air characteristics of the current time period and the return air temperature of the next time period.

[0079] It's understood that during the environmental and operational data collection process, environmental and operational data is collected for each cycle. The environmental and operational data collected for the current cycle and the return air temperature collected for the next cycle serve as the primary data for training the model. Return air features refer to features collected at the current time that are relevant to return air temperature prediction, such as indoor return air temperature, outdoor temperature, indoor humidity, compressor frequency, indoor fan speed, and outdoor fan speed.

[0080] In one embodiment, the environmental and operating data within each time period can be traversed, and the return air characteristics at the current moment can be extracted from the environmental and operating data within the traversed current time period, and then the return air temperature collected in the next time period of the current time period can be extracted, and then the return air characteristics in the current time period and the return air temperature collected in the next time period can be used as a single sample.

[0081] Step S013: using the return air characteristics of the current time period as independent variables and the return air temperature of the next time period as dependent variables, training a return air temperature prediction model.

[0082] It should be understood that the return air characteristics are usually the independent variables input into the return air temperature prediction model, while the return air temperature is the dependent variable. When the return air characteristics and return air temperature are both determined, the return air characteristics of the current time period can be used as the independent variable, and the return air temperature of the next time period can be used as the dependent variable. The return air temperature prediction model can be trained using machine learning or deep learning algorithms.

[0083] In addition, after the model training is completed, in order to improve the accuracy of the return air temperature prediction model at the preset next moment, the accuracy of the return air temperature prediction model can also be tested. If the accuracy of the return air temperature prediction model meets the requirements, the model training process is completed; otherwise, the model training process is repeated until the accuracy of the return air temperature prediction model meets the requirements.

[0084] Step S10 ′: inputting the environmental characteristics at the current moment and various operating parameter combinations of the air conditioner into the compensation temperature prediction model to predict the compensation temperature of various operating parameter combinations at the next moment.

[0085] It should be noted that during the prediction of the next compensation temperature, a model prediction approach can also be used to determine the compensation temperature for each operating parameter combination. The compensation temperature prediction model is used to predict the next compensation temperature of the air conditioner. This compensation temperature prediction model can accurately predict the next compensation temperature based on environmental characteristics and the operating conditions of the air conditioner.

[0086] In one embodiment, the possible operating parameter combinations of the air conditioner at the next moment can be combined with the environmental characteristics collected at the current moment, and then input into the compensation temperature prediction model to predict the compensation temperature corresponding to each operating parameter combination at the next moment. Of course, the environmental characteristics can also be input into the compensation temperature prediction model first, and then each operating parameter combination can be input into the compensation temperature prediction model one by one to predict the compensation temperature corresponding to each operating parameter combination at the next moment.

[0087] Before step S10', the following steps are also included:

[0088] Step S101: Collect environmental and operating data within each time period.

[0089] It is understandable that, similarly, before using the compensation temperature prediction model to predict the next compensation temperature, an accurate compensation temperature prediction model must be obtained. The process of collecting environmental and operating data within each time period can be referenced to the collection process of the return air temperature prediction model described above and will not be repeated here.

[0090] Step S102: traverse the environment and operation data in each time period, and extract the compensation characteristics of the current time period and the compensation temperature of the next time period.

[0091] It's important to note that compensation features are temperature-compensating features within the environmental and operational data. While they partially overlap with the return air features, they are not identical. Compensation features can include features such as fan speed, operating hours, indoor return air temperature, indoor perceived temperature, and outdoor temperature.

[0092] During the specific extraction process, the environmental and operating data within each time period can also be traversed, and the compensation features of the current moment can be extracted from the environmental and operating data within the current time period. Then, the compensation temperature collected in the next time period of the current time period is extracted, and then the compensation features in the current time period and the compensation temperature collected in the next time period are used as a single sample.

[0093] Step S103: using the compensation characteristic of the current time period as an independent variable and the compensation characteristic temperature of the next time period as a dependent variable, training a compensation characteristic temperature prediction model.

[0094] It should be understood that the compensation feature is usually the independent variable input into the compensation temperature prediction model, while the compensation temperature is the dependent variable. When both the compensation feature and the compensation temperature are determined, the compensation feature of the current time period can be used as the independent variable, and the compensation temperature of the next time period can be used as the dependent variable, and the compensation temperature prediction model can be trained using machine learning or deep learning algorithms.

[0095] In addition, after the model training is completed, in order to improve the accuracy of the compensated temperature prediction model at the preset next moment, the accuracy of the compensated temperature prediction model can also be tested. If the accuracy of the compensated temperature prediction model meets the requirements, the model training process is completed; otherwise, the model training process is repeated until the accuracy of the compensated temperature prediction model meets the requirements.

[0096] In the second embodiment, by accurately predicting the return air temperature and compensation temperature at the next moment, the compensation temperature that may exist at the next moment can be effectively used to control the air conditioner, thereby achieving process control of the air conditioner and more accurately meeting the user's comfort needs.

[0097] 4 , which is a flow chart of a third embodiment of the air conditioner control method of the present application, the third embodiment of the air conditioner control method of the present application is proposed based on the first embodiment or the second embodiment shown above.

[0098] In the third embodiment, step S30 specifically includes:

[0099] Step S301: Calculate a set of temperature differences between the target temperature at the current time point and the perceived temperatures corresponding to various operating parameter combinations.

[0100] It is understood that when determining the perceived temperature corresponding to each operating parameter combination at the next moment, it is necessary to select an operating parameter combination from the various operating parameters that meets the user's needs or further improves the user's comfort needs. During this process, it is also necessary to determine the target temperature set by the user. Considering that the user may adjust the temperature during air conditioner operation, the target temperature at the current moment can be used as the basis for obtaining the target temperature.

[0101] It should be noted that the temperature difference set refers to the set of temperature differences between the perceived temperature and the target temperature corresponding to various operating parameter combinations. In this temperature difference set, each temperature difference represents a user's comfort state at the next moment. The temperature difference set can be obtained by directly calculating the current temperature against the perceived temperature corresponding to various temperature operating parameter combinations, for example, using the formula: perceived temperature Tg = Th - Tb; where Th is the return air temperature and Tb is the compensation temperature.

[0102] Step S302: determining a target operating parameter combination according to the temperature difference set.

[0103] It is understood that, when the temperature difference value set is determined, the operating parameter combination of the air conditioner from the current moment to the next moment can be determined based on each temperature difference value in the temperature difference value set. Specifically, the smaller the temperature difference value in the temperature difference value set, the closer the user's perceived temperature will be to the set temperature at the next moment, and the more significantly the user's comfort level will be improved. Conversely, the larger the temperature difference value, the greater the difference between the user's perceived temperature and the set temperature at the next moment, and the less significantly the user's comfort level will be improved.

[0104] Therefore, when the temperature difference set is determined, the target operating parameter combination can be selected according to the specific needs of the user. For example, if some users need to lower the indoor temperature as soon as possible, the operating parameter combination corresponding to the perceived temperature with a very small temperature difference can be selected as the target operating parameter combination; for users who want a smaller difference in perceived temperature change, the operating parameter combination corresponding to the perceived temperature with a relatively large temperature difference can be selected as the target operating parameter combination.

[0105] Step S303: Controlling the operation of the air conditioner according to the target operating parameter combination.

[0106] Wherein, the step S302 includes:

[0107] Step S3021: Obtain the target temperature difference threshold.

[0108] It should be noted that the target temperature difference threshold can be a temperature difference threshold set in advance by the user. This target temperature difference threshold is used to reflect the user's desired temperature adjustment range for the air conditioner. The larger the target temperature difference threshold, the greater the adjustment range the air conditioner needs to make to the indoor temperature or perceived temperature within a single adjustment cycle. For example, if the target temperature difference threshold is 0.1 degrees Celsius, the air conditioner needs to lower or raise the indoor temperature by 0.1 degrees Celsius within a single adjustment cycle.

[0109] Step S3022: Selecting a subset of temperature difference values ​​that are less than or equal to the target temperature difference threshold from the temperature difference value set.

[0110] It should be understood that the temperature difference value subset is a set of temperature difference values ​​selected from the temperature difference value set that are less than or equal to the target temperature difference threshold. When the temperature difference value is less than or equal to the target temperature difference threshold, it indicates that the change in the perceived temperature at the next moment can meet the user's comfort requirements. The temperature difference values ​​that meet this requirement can meet the user's requirements for improved comfort. In the specific determination process, each temperature difference value in the temperature difference value set can be compared with the target temperature difference threshold to obtain a temperature difference subset.

[0111] Step S3023: taking the operating parameter combination corresponding to any temperature difference value in the temperature difference value subset as the target operating parameter combination.

[0112] It should be understood that the operating parameter combination corresponding to each temperature difference in the temperature difference subset can meet the conditions set by the user. In this case, the operating parameter combination corresponding to any temperature difference can be selected as the target operating parameter combination.

[0113] In addition, in one embodiment, step S302 may further include:

[0114] Step S3024: Obtain the temperature difference with the smallest absolute value in the temperature difference set.

[0115] In addition, in one embodiment, the user may not set a temperature difference threshold. In this case, priority may be given to temperature differences with smaller absolute values ​​within the temperature difference set. The smaller the absolute value, the closer the perceived temperature at the benefit moment is to the user's target temperature.

[0116] When the temperature needs to be adjusted as quickly as possible, in one embodiment, the temperature difference with the smallest absolute value in the temperature difference set is selected. This temperature difference can be used to adjust the perceived temperature to the target temperature as much as possible at the next moment, thereby maximizing the user's comfort.

[0117] Step S3025: taking the operating parameter combination corresponding to the temperature difference as the target operating parameter combination.

[0118] Therefore, when determining the temperature difference with the smallest absolute value, the operating parameter combination corresponding to the temperature difference can be directly selected as the target operating parameter combination, and then the air conditioner can be controlled to operate according to the target operating parameter combination to quickly adjust the indoor perceived temperature to the set temperature.

[0119] In addition, the present application also proposes a storage medium on which an air conditioner control program is stored. When the air conditioner control program is executed by a processor, the steps of the air conditioner control method described above are implemented.

[0120] Since the storage medium can adopt the technical solutions of all the above embodiments, it at least has the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

[0121] In addition, referring to FIG5 , the present application also proposes an air conditioner control device, wherein the air conditioner control device includes:

[0122] The temperature prediction module 10 is used to predict the compensation temperature of various operating parameter combinations at the next moment based on the current environmental characteristics and various operating parameter combinations of the air conditioner;

[0123] A temperature determination module 20 is configured to determine a body-perceived temperature corresponding to various operating parameter combinations based on the return air temperature and the compensation temperature; and

[0124] The air conditioner control module 30 is used to determine a target operating parameter combination according to the set temperature and the body temperature, and control the operation of the air conditioner according to the target operating parameter combination.

[0125] In one embodiment, the temperature prediction module 10 of the air conditioner control device predicts the compensation temperature of various operating parameter combinations at the next moment based on the current environmental characteristics and various operating parameter combinations of the air conditioner; the temperature determination module 20 determines the perceived temperature corresponding to the various operating parameter combinations based on the return air temperature and the compensation temperature; the air conditioner control module 30 determines the target operating parameter combination based on the set temperature and the perceived temperature, and controls the operation of the air conditioner based on the target operating parameter combination. The present application predicts the compensation temperature at the next moment based on the environmental characteristics and various operating parameter combinations of the air conditioner, uses the return air temperature and the perceived temperature at the previous moment under the compensation temperature, and then controls the operation of the air conditioner based on the temperature set by the user and the perceived temperature at the next moment, thereby using the perceived temperature to control the air conditioner and more accurately adjust the indoor temperature.

[0126] Other embodiments or specific implementations of the air conditioner control device provided in this application can refer to the above-mentioned method embodiments, and therefore have at least all the beneficial effects brought by the technical solutions of the above-mentioned embodiments, which will not be repeated here.

[0127] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0128] The serial numbers of the embodiments of this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments. In a unit claim that lists several means, several of these means may be embodied by the same item of hardware. The use of the terms first, second, and third, etc., does not indicate any order and should be interpreted as nomenclature.

[0129] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus the necessary general hardware platform, or of course by means of hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a read-only memory image (ROM) / random access memory (RAM), a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal air conditioner (which can be a mobile phone, a computer, a server, or a network air conditioner, etc.) to execute the methods described in each embodiment of the present application.

[0130] The above are merely optional embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for controlling an air conditioner, wherein: The air conditioner control method comprises the following steps: Predict the compensation temperature of various operating parameter combinations at the next moment based on the current environmental characteristics and various operating parameter combinations of the air conditioner; Determining the sensible temperature corresponding to various operating parameter combinations according to the return air temperature and the compensation temperature; and A target operating parameter combination is determined according to the set temperature and the perceived temperature, and the operation of the air conditioner is controlled according to the target operating parameter combination.

2. The air conditioner control method according to claim 1, wherein: Before predicting the compensation temperature of various operating parameter combinations at the next moment according to the environmental characteristics at the current moment and various operating parameter combinations of the air conditioner, it includes: Inputting the current environmental characteristics and various operating parameter combinations of the air conditioner into the return air temperature prediction model to predict the return air temperature of various operating parameter combinations at the next moment; and The method of predicting the compensation temperature of various operating parameter combinations at the next moment according to the current environmental characteristics and various operating parameter combinations of the air conditioner includes: The environmental characteristics at the current moment and various operating parameter combinations of the air conditioner are input into the compensation temperature prediction model to predict the compensation temperature of various operating parameter combinations at the next moment.

3. The air conditioner control method according to claim 2, wherein: Before the environmental characteristics at the current moment and various operating parameter combinations of the air conditioner are input into the compensation temperature prediction model to predict the compensation temperature of various operating parameter combinations at the next moment, the method includes: Collect environmental and operational data within each time period; Traversing the environmental and operating data in each time period, extracting the return air characteristics of the current time period and the return air temperature of the next time period; and The return air temperature prediction model is trained by taking the return air characteristics of the current time period as the independent variable and the return air temperature of the next time period as the dependent variable.

4. The air conditioner control method according to claim 2, wherein: Before the environmental characteristics and the various operating parameter combinations are input into the compensation temperature prediction model to predict the compensation temperature of the various operating parameter combinations at the next moment, the method includes: Collect environmental and operational data within each time period; Traversing the environmental and operating data in each time period, extracting the compensation characteristics of the current time period and the compensation temperature of the next time period; and The compensation characteristic of the current time period is used as an independent variable, and the compensation characteristic temperature of the next time period is used as a dependent variable to train a compensation characteristic temperature prediction model.

5. The air conditioner control method according to any one of claims 1 to 4, wherein: The determining of the target operating parameter combination according to the body-felt temperature and the target temperature at the current time point includes: Calculate the temperature difference between the target temperature at the current time point and the perceived temperature corresponding to various operating parameter combinations; Determining a target operating parameter combination according to the temperature difference value set; and The operation of the air conditioner is controlled according to the target operating parameter combination.

6. The air conditioner control method according to claim 5, wherein: The determining of a target operating parameter combination according to the temperature difference set includes: Get the target temperature difference threshold; Selecting a subset of temperature difference values ​​less than or equal to the target temperature difference threshold from the temperature difference value set; and The operating parameter combination corresponding to any temperature difference value in the temperature difference value subset is used as the target operating parameter combination.

7. The air conditioner control method according to claim 5, wherein: The determining of a target operating parameter combination according to the temperature difference set includes: Obtaining the temperature difference with the smallest absolute value in the temperature difference set; and The operating parameter combination corresponding to the temperature difference is used as the target operating parameter combination.

8. An air conditioner control device, wherein: The air conditioner control includes: The temperature prediction module is used to predict the compensation temperature of various operating parameter combinations at the next moment according to the environmental characteristics at the current moment and various operating parameter combinations of the air conditioner; a temperature determination module, configured to determine a body-perceived temperature corresponding to various operating parameter combinations according to the return air temperature and the compensation temperature; and The air conditioner control module is used to determine a target operating parameter combination according to a set temperature and the body-felt temperature, and control the operation of the air conditioner according to the target operating parameter combination.

9. An air conditioner, wherein: The air conditioner comprises: a memory, a processor, and an air conditioner control program stored in the memory and executable on the processor, wherein the air conditioner control program implements the air conditioner control method according to any one of claims 1 to 7 when executed by the processor.

10. A storage medium, wherein: The storage medium stores an air conditioner control program, and when the air conditioner control program is executed by the processor, the air conditioner control method according to any one of claims 1 to 7 is implemented.

Images