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

Abstract

The invention provides an air conditioner control method and device, an air conditioner and a storage medium. According to the method, the compensation temperature of various operation parameter combinations at the next moment is predicted according to environment characteristics at the current moment and various operation parameter combinations of the air conditioner; according to the return air temperature and the compensation temperature, the sensible temperature corresponding to the various operation parameter combinations is determined; and a target operation parameter combination is determined according to the set temperature and the sensible temperature, and the air conditioner is controlled to operate according to the target operation parameter combination. The compensation temperature of the next moment is predicted through the combination of the environment characteristics and various operation parameters of the air conditioner, the air return temperature and the sensible temperature of the compensation temperature at the next moment are utilized, then the air conditioner is controlled to operate according to the temperature set by the user and the sensible temperature at the next moment, and therefore the air conditioner is controlled through the sensible temperature, and the control accuracy is improved. And the indoor temperature can be adjusted more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioners, and in particular to an air conditioner control method, an air conditioner, and a storage medium. Background Art

[0002] Due to the influence of factors such as the installation location and airflow conditions, there is a discrepancy between the return air temperature of the air conditioner and the perceived temperature in the room during the cooling / heating process.

[0003] In the prior art, the process of adjusting the indoor temperature by the air conditioner is mainly based on the return air temperature collected by the air conditioner, and then the air conditioner is controlled according to the return air temperature. If the return air temperature collected by the air conditioner is inconsistent with the perceived temperature in the room, the air conditioner cannot accurately adjust the indoor temperature to the target temperature set by the user. Summary of the invention

[0004] The main purpose of the present invention 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 indoor body temperature, and the air conditioner is adjusted according to the return air temperature, and the indoor temperature cannot be accurately adjusted.

[0005] To achieve the above object, the present invention provides an air conditioner control method, the air conditioner control method comprising the following steps:

[0006] 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;

[0007] Determining the sensible temperature corresponding to various operating parameter combinations according to the return air temperature and the compensation temperature; and

[0008] 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.

[0009] Optionally, before 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, the method includes:

[0010] 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

[0011] 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:

[0012] 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.

[0013] Optionally, before the environmental characteristics at the current moment and various operating parameters of the air conditioner are combined and input into the compensation temperature prediction model to predict the compensation temperature of various operating parameter groups at the next moment, the method includes:

[0014] Collect environmental and operational data within each time period;

[0015] 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

[0016] 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.

[0017] Optionally, before inputting the environmental characteristics and the various operating parameter combinations into a compensation temperature prediction model to predict the compensation temperature of various operating parameter combinations at the next moment, the step includes:

[0018] Collect environmental and operational data within each time period;

[0019] 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

[0020] 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.

[0021] Optionally, determining a target operating parameter combination according to the body-felt temperature and a target temperature at a current time point includes:

[0022] Calculate a set of temperature differences between the target temperature at the current time point and the perceived temperature corresponding to various operating parameter combinations; and

[0023] Determining a target operating parameter combination according to the temperature difference value set;

[0024] The air conditioner operation is controlled according to the target operation parameter combination.

[0025] Optionally, determining a target operating parameter combination according to the temperature difference set includes:

[0026] Get the target temperature difference threshold;

[0027] Selecting a subset of temperature difference values ​​less than or equal to the target temperature difference threshold from the temperature difference value set; and

[0028] The operating parameter combination corresponding to any temperature difference value in the temperature difference value subset is used as the target operating parameter combination.

[0029] Optionally, determining a target operating parameter combination according to the temperature difference set includes:

[0030] Obtaining the temperature difference with the smallest absolute value in the temperature difference set; and

[0031] The operating parameter combination corresponding to the temperature difference is used as the target operating parameter combination.

[0032] In addition, to achieve the above-mentioned purpose, the present invention also proposes an air conditioner control device, the air conditioner control device comprising:

[0033] 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;

[0034] 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

[0035] 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.

[0036] In addition, to achieve the above-mentioned purpose, the present invention also proposes an air conditioner, which includes: a memory, a processor, and an air conditioner control program stored in the memory and executable on the processor, and the air conditioner control method is implemented when the air conditioner control program is executed by the processor.

[0037] In addition, to achieve the above-mentioned purpose, the present invention further proposes a storage medium, on which an air conditioner control program is stored, and when the air conditioner control program is executed by a processor, the air conditioner control method is implemented.

[0038] The present invention 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 environmental characteristics at the current moment and various operating parameter combinations of the air conditioner; determines the sensible 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 sensible temperature, and controls the operation of the air conditioner based on the target operating parameter combination. In the present invention, the compensation temperature at the next moment is predicted by combining the environmental characteristics with various operating parameters of the air conditioner, the return air temperature and the sensible temperature at the previous moment under the compensation temperature are used, and then the operation of the air conditioner is controlled based on the temperature set by the user and the sensible temperature at the next moment, so that the sensible temperature is used to control the air conditioner and the indoor temperature is adjusted more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A schematic diagram of the structure of an air conditioner in a hardware operating environment according to an embodiment of the present invention;

[0040] Figure 2 A schematic diagram of a flow chart of a first embodiment of an air conditioner control method of the present invention;

[0041] Figure 3 A schematic diagram of a flow chart of a second embodiment of an air conditioner control method of the present invention;

[0042] Figure 4 A schematic flow chart of a third embodiment of an air conditioner control method according to the present invention;

[0043] Figure 5 FIG. 1 is a structural block diagram of a first embodiment of an air conditioner control device according to the present invention.

[0044] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0046] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the air conditioner structure of the hardware operating environment involved in the embodiment of the present invention.

[0047] like Figure 1As shown, 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. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), and the user interface 1003 may also include a standard wired interface and a wireless interface. The wired interface of the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable memory (Non-volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0048] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the air conditioner, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0049] like Figure 1 As shown, the memory 1005 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.

[0050] exist Figure 1 In the air conditioner shown, 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 by the embodiment of the present invention.

[0051] Based on the above hardware structure, an embodiment of the air conditioner control method of the present invention is proposed.

[0052] Reference Figure 2 , Figure 2 The flowchart of the first embodiment of the air conditioner control method of the present invention is provided.

[0053] In a first embodiment, the air conditioner control method comprises the following steps:

[0054] Step S10: 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.

[0055] It should be understood that the execution subject of this embodiment can be the air conditioner or the central controller of the air conditioner. The central controller has functions such as data processing, data communication and program running. In this embodiment, the central controller of the air conditioner is used as the execution subject for explanation.

[0056] It should be noted that the environmental characteristics at the current moment are the environmental information in the current state when the air conditioner is operating normally. The environmental characteristics may include: outdoor temperature, indoor humidity, indoor return air temperature collected by the air conditioner and other information. Various operating parameter combinations of the air conditioner refer to the combination of operating parameters that may exist in the air conditioner at the next moment. The various operating parameter combinations are related to the operating parameter combinations at the current moment and the adjustment ability of the air conditioner. The stronger the adjustment ability of the air conditioner, the more operating parameter combinations corresponding to the next moment. For example, the speed of the internal fan at the current moment is 60 revolutions per minute, and the air conditioner can be adjusted 5 revolutions in a cycle, then the speed of the internal fan at the next moment may be any one of 55 to 65 revolutions per minute. The operating parameter combination may include parameters such as the frequency of the compressor in the air conditioner, the speed of the internal fan and the speed of the external fan.

[0057] It should be understood that the 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. The compensation temperature is the difference between the return air temperature and the perceived temperature. The compensation temperature is usually related to the current operating environment of the air conditioner and the current operating conditions of the air conditioner. The compensation temperature is different at different ambient temperatures; the compensation temperature is also different when the air conditioner is in different operating conditions. Therefore, when determining the compensation temperature, it is necessary to obtain the current ambient temperature and the specific operating parameters of the air conditioner in advance.

[0058] In a specific implementation, 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 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 of 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 various operating parameter combinations at the next moment.

[0059] Step S20: determining the sensible temperature corresponding to various operating parameter combinations according to the return air temperature and the compensation temperature.

[0060] It should be understood that the perceived temperature is the temperature felt by the user in the room. The perceived temperature may be the average temperature of the room or the ambient temperature around the user. When the user's comfort is considered, the user's comfort is optimal when the perceived temperature is the user's set temperature.

[0061] In addition, according to the above discussion, the compensation temperature is the temperature used to compensate for the difference between the return air temperature and the indoor temperature. Therefore, when the return air temperature and the compensation temperature are determined, the compensation temperatures corresponding to the various operating parameters can be directly calculated with the return air temperature one by one according to the return air temperature and the compensation temperatures corresponding to each operating parameter combination, so as to determine the sensible temperature corresponding to the various operating parameter combinations at the next moment. In the process of determining the sensible temperature, the formula sensible temperature Tg = Th-Tb can be used; where Th is the return air temperature and Tb is the compensation temperature.

[0062] 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.

[0063] It should be understood that when the sensible temperatures corresponding to various operating parameter combinations at the next moment have been determined, the sensible 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 sensible temperature. The sensible temperature can be adjusted to the most comfortable temperature among the sensible temperatures corresponding to the various operating parameter combinations at the next moment.

[0064] 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 an 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.

[0065] In a specific implementation, 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.

[0066] In the first embodiment, an air conditioner control method is provided, which predicts 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; determines the sensible 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 sensible temperature, and controls the operation of the air conditioner based on the target operating parameter combination. In this embodiment, the compensation temperature at the next moment is predicted by combining the environmental characteristics with various operating parameters of the air conditioner, the return air temperature and the sensible temperature at the previous moment under the compensation temperature are used, and then the operation of the air conditioner is controlled based on the temperature set by the user and the sensible temperature at the next moment, so that the sensible temperature is used to control the air conditioner and the indoor temperature is adjusted more accurately.

[0067] Reference Figure 3 , Figure 3 This is a flow chart of a second embodiment of the air conditioner control method of the present invention. Figure 2 The first embodiment shown is a second embodiment of the air conditioner control method of the present invention.

[0068] In the second embodiment, before step S10, the method further includes:

[0069] Step S01: Input 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.

[0070] It should be noted that in the process of determining the compensation temperature at the next moment, in order to more accurately determine the sensible temperature at the next moment, in this embodiment, the return air temperature at the next moment and the compensation temperature at the next moment can be used to determine the sensible temperature. The return air temperature at the next moment can be predicted based on the return air temperature, indoor temperature, indoor humidity, compressor frequency of the air conditioner, speed of internal and external fans, and other factors collected at the current moment.

[0071] The return air temperature preset model is a model for predicting 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 according to the environmental characteristics and the operating conditions of the air conditioner.

[0072] In a specific implementation, 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 one by one, and then input into the return air temperature preset model to predict the return air temperature corresponding to various operating parameter combinations at the next moment. Of course, the environmental characteristics can also be input into the return air temperature prediction model first, and then various operating parameter combinations can be input into the return air temperature prediction module one by one to predict the return air temperature corresponding to various operating parameter combinations at the next moment.

[0073] Wherein before step S01, the following steps are also included:

[0074] Step S011: Collect environmental and operating data within each time period.

[0075] It is understandable that before using the return air temperature prediction model to predict the return air temperature at the next moment, it is necessary to obtain an accurate return air temperature prediction model. Usually, the model is mainly obtained through training. In order to ensure the accuracy of the output results of the return air temperature prediction model. In this embodiment, the environment and operation data in each time period can be collected when the air conditioner is in operation.

[0076] The environment and operation data include the environment information such as indoor temperature, outdoor temperature, return air temperature, indoor humidity, etc. during the operation of the air conditioner, the working condition information of the air conditioner such as the compressor frequency, the speed of the internal and external fans, and the operation data performed by the user. The environment and operation data can be obtained through experiments or through historical user home environments. The time period is a pre-set period for using environment and operation data, which can be set when the air conditioner is in normal operation. For example, the environment and operation data of the air conditioner are collected in a time period of 30 seconds or 1 minute.

[0077] Step S012: Traverse the environment and operation 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.

[0078] It is understandable that during the environmental and operating data collection process, environmental and operating data in each cycle will be collected, and the environmental and operating data collected in the current cycle and the return air temperature collected in the next cycle are the main data for training the model. Return air features refer to features related to return air temperature prediction collected at the current time, such as indoor return air temperature, outdoor temperature, indoor humidity, compressor frequency, internal fan speed, external fan speed, and other features.

[0079] In a specific implementation, 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 current time period. Then, the return air temperature collected in the next time period of the current time period can be extracted. 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.

[0080] Step S013: using the return air characteristics of the current time period as an independent variable and the return air temperature of the next time period as a dependent variable to train a return air temperature prediction model.

[0081] 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 the return air temperature are 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.

[0082] 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.

[0083] 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.

[0084] It should be noted that in the prediction process of the compensation temperature at the next moment, the compensation temperature of each operating parameter combination can also be determined by model prediction. The compensation temperature prediction model is a model for predicting the compensation temperature of the air conditioner at the next moment. The compensation temperature prediction model can accurately predict the compensation temperature at the next moment according to the environmental characteristics and the operating conditions of the air conditioner.

[0085] In a specific implementation, 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 one by one, and then input into the compensation temperature prediction model to predict the compensation temperature corresponding to various operating parameter combinations at the next moment. Of course, the environmental characteristics can also be input into the compensation temperature prediction model first, and then various operating parameter combinations can be input into the compensation temperature prediction model one by one to predict the compensation temperature corresponding to various operating parameter combinations at the next moment.

[0086] Before step S10', the following steps are also included:

[0087] Step S101: Collecting environmental and operating data within each time period.

[0088] It is understandable that, similarly, before using the compensation temperature prediction model to predict the compensation temperature at the next moment, an accurate compensation temperature prediction model needs to be obtained. The process of collecting environmental and operating data in each time period can refer to the collection process in the above return air temperature prediction model, and will not be repeated here.

[0089] 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.

[0090] It should be noted here that the compensation feature is a feature related to temperature compensation in the environment and operation data. The compensation feature and the return air feature have some overlap in information, but they are not exactly the same. The compensation feature can be features such as the speed of the indoor fan, the operating time, the indoor return air temperature, the indoor body temperature, and the outdoor temperature.

[0091] In the specific extraction process, the environment and operation data in each time period can also be traversed, and the compensation features of the current moment can be extracted from the environment and operation data in the current time period, and then the compensation temperature collected in the next time period of the current time period can be extracted, and then the compensation features in the current time period and the compensation temperature collected in the next time period can be used as a single sample.

[0092] 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.

[0093] 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 the compensation feature and the compensation temperature are both 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. The compensation temperature prediction model can be trained using machine learning or deep learning algorithms.

[0094] 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.

[0095] 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.

[0096] Reference Figure 4 , Figure 4 1 is a flow chart of a third embodiment of an air conditioner control method according to the present invention. The third embodiment of the air conditioner control method according to the present invention is proposed based on the first embodiment or the second embodiment shown above.

[0097] In the third embodiment, the step S30 specifically includes:

[0098] 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.

[0099] It is understandable 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 various operating parameters that can meet the user's needs or further improve the user's comfort needs. In this process, it is also necessary to determine the target temperature set by the user. Considering that the user may adjust the temperature during the operation of the air conditioner, when obtaining the target temperature, the target temperature at the current time point can be used as the standard.

[0100] It should be noted that the temperature difference set refers to a 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 comfort state of the user at the next moment. The temperature difference set can be obtained by directly calculating the current temperature with the perceived temperature corresponding to various temperature operating parameter combinations one by one, for example, using the formula: perceived temperature Tg = Th-Tb; where Th is the return air temperature and Tb is the compensation temperature.

[0101] Step S302: determining a target operating parameter combination according to the temperature difference value set.

[0102] It is understandable 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 according to each temperature difference value in the temperature difference value set. The smaller the temperature difference value in the temperature difference value set, the closer the user's perceived temperature is to the set temperature at the next moment, and the more obvious the improvement in the user's comfort level will be; on the contrary, 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 obvious the improvement in the user's comfort level will be.

[0103] 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, the operating parameter combination corresponding to the perceived temperature with a relatively large temperature difference can be selected as the target operating parameter combination.

[0104] Step S303: Controlling the operation of the air conditioner according to the target operation parameter combination.

[0105] Wherein, the step S302 includes:

[0106] Step S3021: Obtain the target temperature difference threshold.

[0107] It should be noted that the target temperature difference threshold can be a temperature difference threshold set in advance by the user. The target temperature difference threshold is used to reflect the user's demand for the change range of the air conditioner's temperature adjustment. The larger the target temperature difference threshold, the greater the adjustment range of the indoor temperature or the perceived temperature that the air conditioner needs to adjust within one 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 one adjustment cycle.

[0108] 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.

[0109] It should be understood that the temperature difference subset is a set of temperature difference values ​​selected from the temperature difference set that are less than or equal to the target temperature difference threshold. When the temperature difference 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 set can be compared with the target temperature difference threshold to obtain a temperature difference subset.

[0110] Step S3023: taking an operating parameter combination corresponding to any temperature difference in the temperature difference subset as a target operating parameter combination.

[0111] 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.

[0112] In addition, in this embodiment, step S302 may further include:

[0113] Step S3024: Obtain the temperature difference with the smallest absolute value in the temperature difference set.

[0114] In addition, in this embodiment, the user may not set a temperature difference threshold. In this case, the temperature difference with a smaller absolute value in the temperature difference set can be given priority. The smaller the absolute value, the closer the perceived temperature at the benefit moment is to the user's target temperature.

[0115] When the temperature needs to be adjusted as quickly as possible, in this 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 body temperature to the target temperature as much as possible at the next moment, thereby maximizing the user's comfort.

[0116] Step S3025: taking the operating parameter combination corresponding to the temperature difference as the target operating parameter combination.

[0117] 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.

[0118] In addition, an embodiment of the present invention further provides 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.

[0119] 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.

[0120] In addition, refer to Figure 5 The embodiment of the present invention further provides an air conditioner control device, wherein the air conditioner control device comprises:

[0121] The temperature prediction module 10 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;

[0122] A temperature determination module 20, configured to determine a body-perceived temperature corresponding to various operating parameter combinations according to the return air temperature and the compensation temperature; and

[0123] The air conditioner control module 30 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.

[0124] In this 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 environmental characteristics at the current moment and various operating parameter combinations of the air conditioner; the temperature determination module 20 determines the sensible temperature corresponding to 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 sensible temperature, and controls the operation of the air conditioner based on the target operating parameter combination. In the present invention, the compensation temperature at the next moment is predicted by combining the environmental characteristics with various operating parameters of the air conditioner, the return air temperature and the sensible temperature at the previous moment under the compensation temperature are used, and then the operation of the air conditioner is controlled according to the temperature set by the user and the sensible temperature at the next moment, so that the sensible temperature is used to control the air conditioner and the indoor temperature is adjusted more accurately.

[0125] Other embodiments or specific implementations of the air conditioner control device of the present invention can refer to the above-mentioned method embodiments, so they at least have all the beneficial effects brought by the technical solutions of the above-mentioned embodiments, which will not be repeated here.

[0126] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0127] The serial numbers of the embodiments of the present invention 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 hardware item. The use of the words first, second, and third, etc. does not indicate any order and these words may be interpreted as names.

[0128] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which 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 invention.

[0129] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An air conditioner control method, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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.

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