Control method of air conditioner, air conditioner and computer readable storage medium

Abstract

The invention discloses an air conditioner control method, an air conditioner and a computer readable storage medium, and the method comprises the steps that when an electric auxiliary heating function starting signal is received, the running environment change trend of the air conditioner in a future preset time period is obtained; according to the running environment change trend, predicting the prediction time meeting the electric auxiliary heating load running environment corresponding to the electric auxiliary heating function; and configuring the predicted time as the operation time of the electric auxiliary heating load, and outputting the operation time. According to the method, when the electric auxiliary heating function is started, the operation condition of the electric auxiliary heating load is determined, and therefore the electric auxiliary heating function can be controlled more conveniently.

Description

Technical Field

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

[0002] Electric auxiliary heating refers to the PTC electric auxiliary heating technology of the air conditioner, which uses PTC as an additional electric auxiliary heating load for electric heating to increase the heating capacity, thereby adjusting the indoor temperature and achieving the purpose of rapid and strong heating. In related technologies, after the electric auxiliary heating function is turned on, certain operating conditions must be met before the electric auxiliary heating load will be started for auxiliary heating. For example, the room temperature, indoor unit air volume, etc. must reach the preset values ​​before the electric auxiliary heating load will be operated. However, since the time to meet the operating conditions after the electric auxiliary heating function is turned on is not unique, it is difficult to determine the operating conditions of the electric auxiliary heating function corresponding to the electric auxiliary heating load.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a control method of an air conditioner, an air conditioner and a computer-readable storage medium, aiming to achieve the effect of determining the operating status of an electric auxiliary heating load when the electric auxiliary heating function is turned on.

[0005] To achieve the above object, the present invention provides a method for controlling an air conditioner, the method comprising:

[0006] When receiving the electric auxiliary heating function start signal, obtaining the operating environment change trend of the air conditioner in the future preset period;

[0007] According to the change trend of the operating environment, predict the predicted time of the electric auxiliary heating load operating environment that satisfies the electric auxiliary heating function;

[0008] The predicted time is configured as the operating time of the electric auxiliary heating load, and the operating time is output.

[0009] Optionally, the step of predicting the predicted time of the electric auxiliary heating load operating environment that satisfies the electric auxiliary heating function according to the operating environment change trend includes:

[0010] Determining, according to the change trend of the operating environment, the corresponding relationship between multiple future time points and the future operating environment within the future preset time period;

[0011] A future time point that is closest to the current time and satisfies the electric auxiliary heating load operating environment is used as the starting time of the predicted time.

[0012] Optionally, the step of predicting the predicted time of the electric auxiliary heating load operating environment that satisfies the electric auxiliary heating function according to the operating environment change trend includes:

[0013] Determining, according to the change trend of the operating environment, the corresponding relationship between multiple future time points and the future operating environment within the future preset time period;

[0014] A future time point which is closest to the start-up time of the electric auxiliary heating load and does not meet the operating environment of the electric auxiliary heating load is used as the end time of the predicted time.

[0015] Optionally, after the step of taking a future time point which is closest to the start-up time of the electric auxiliary heating load and does not meet the operating environment of the electric auxiliary heating load as the end time of the predicted time, the method further includes:

[0016] When the end time is reached or it is detected that the electric auxiliary heating load is turned off, the step of obtaining the change trend of the operating environment of the air conditioner within a future preset period of time is re-executed.

[0017] Optionally, the step of predicting the predicted time of the electric auxiliary heating load operating environment that satisfies the electric auxiliary heating function according to the operating environment change trend includes:

[0018] Determine, according to the change trend of the operating environment, various time periods within the future preset period that meet the operating environment of the electric auxiliary heating load;

[0019] The time period is taken as the prediction time.

[0020] Optionally, after the step of predicting the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function according to the operating environment change trend, the step further includes:

[0021] A predicted operating environment corresponding to the feedback time after the predicted operating environment change trend;

[0022] When the post-feedback time is reached, determining an actual operating environment corresponding to the post-feedback time;

[0023] The predicted time is adjusted according to a difference between the actual operating environment and the predicted operating environment.

[0024] Optionally, after the step of predicting the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function according to the operating environment change trend, the step further includes:

[0025] Detecting the operating power consumption of the electric auxiliary heating load corresponding to the electric auxiliary heating function;

[0026] Outputting the operating power consumption and / or determining the actual start-up time of the electric auxiliary heating load according to the operating power consumption;

[0027] The predicted time is adjusted according to the actual start time.

[0028] Optionally, the step of obtaining the change trend of the operating environment of the air conditioner within a preset period of time in the future includes:

[0029] Sending a prediction request for operating environment change trend to a cloud server, and upon receiving the prediction request, the cloud server sends the operating environment change trend of the air conditioner within the future preset time period predicted by the temperature change prediction model to the air conditioner corresponding to the prediction request;

[0030] Receive the operating environment change trend sent by the cloud server.

[0031] In addition, to achieve the above-mentioned purpose, the present invention also provides 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 program, when executed by the processor, implements the steps of the air conditioner control method as described above.

[0032] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a control program of an air conditioner is stored. When the control program of the air conditioner is executed by a processor, the steps of the control method of the air conditioner as described above are implemented.

[0033] When receiving the electric auxiliary heating function start signal, the method obtains the operating environment change trend of the air conditioner in the future preset period, and the operating environment change trend can be predicted based on the current operating status of the air conditioner, outdoor environment changes, etc. The electric auxiliary heating load operating environment is preset, and according to the operating environment change trend, the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function can be predicted, and the predicted time is configured as the operating time of the electric auxiliary heating load, and the operating time is output, so that when the electric auxiliary heating function is started, the operating status of the electric auxiliary heating function can be determined according to the operating time, which is more convenient for controlling the electric auxiliary heating function. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiment of the present invention;

[0035] Figure 2 A schematic diagram of a flow chart of an embodiment of a method for controlling an air conditioner of the present invention;

[0036] Figure 3 A schematic flow chart of another embodiment of a method for controlling an air conditioner according to the present invention;

[0037] Figure 4 The flowchart of another embodiment of the air conditioner control method of the present invention is shown in FIG.

[0038] 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

[0039] 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.

[0040] After the electric auxiliary heating function is turned on, the electric auxiliary heating load will be started for auxiliary heating only when certain operating conditions are met. For example, the room temperature and indoor unit air volume must reach the preset values ​​before the electric auxiliary heating load will be operated. However, since the time to meet the operating conditions after the electric auxiliary heating function is turned on is not unique, it is difficult to determine the operating status of the electric auxiliary heating function corresponding to the electric auxiliary heating load.

[0041] In order to determine the operation status of the electric auxiliary heating load, an embodiment of the present invention provides a control method of an air conditioner, an air conditioner and a computer-readable storage medium, wherein the main steps of the method include:

[0042] When receiving the electric auxiliary heating function start signal, obtaining the operating environment change trend of the air conditioner in the future preset period;

[0043] According to the change trend of the operating environment, predict the predicted time of the electric auxiliary heating load operating environment that satisfies the electric auxiliary heating function;

[0044] In this way, by determining the changing trend of the operating environment of the air conditioner within a preset period of time in the future, the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function can be predicted, the predicted time is configured as the operating time of the electric auxiliary heating load, and the operating time is output. Therefore, when the electric auxiliary heating function is started, the operating status of the electric auxiliary heating function can be determined according to the operating time, which is more convenient for controlling the electric auxiliary heating function.

[0045] The content to be protected by the claims of the present invention will be described in detail below with reference to the accompanying drawings.

[0046] like Figure 1 As shown, Figure 1 It is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiment of the present invention.

[0047] The terminal in the embodiment of the present invention may be an air conditioner.

[0048] like Figure 1As shown, the terminal may include: a processor 1001, such as a CPU, a memory 1003, and a communication bus 1002. The communication bus 1002 is used to realize the connection and communication between these components. The memory 1003 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1003 may also be a storage device independent of the aforementioned processor 1001.

[0049] Those skilled in the art will understand that Figure 1 The terminal structure shown in the figure does not constitute a limitation on the terminal, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0050] like Figure 1 As shown, the memory 1003 as a computer storage medium may include an operating system and a control program for the air conditioner.

[0051] exist Figure 1 In the terminal shown, the processor 1001 can be used to call the control program of the air conditioner stored in the memory 1003 and perform the following operations:

[0052] When receiving the electric auxiliary heating function start signal, obtaining the operating environment change trend of the air conditioner in the future preset period;

[0053] According to the change trend of the operating environment, predict the predicted time of the electric auxiliary heating load operating environment that satisfies the electric auxiliary heating function;

[0054] The predicted time is configured as the operating time of the electric auxiliary heating load, and the operating time is output.

[0055] Furthermore, the processor 1001 may call the control program of the air conditioner stored in the memory 1003, and further perform the following operations:

[0056] Determining, according to the change trend of the operating environment, the corresponding relationship between multiple future time points and the future operating environment within the future preset time period;

[0057] A future time point that is closest to the current time and satisfies the electric auxiliary heating load operating environment is used as the starting time of the predicted time.

[0058] Furthermore, the processor 1001 may call the control program of the air conditioner stored in the memory 1003, and further perform the following operations:

[0059] Determining, according to the change trend of the operating environment, the corresponding relationship between multiple future time points and the future operating environment within the future preset time period;

[0060] A future time point which is closest to the start-up time of the electric auxiliary heating load and does not meet the operating environment of the electric auxiliary heating load is used as the end time of the predicted time.

[0061] Furthermore, the processor 1001 may call the control program of the air conditioner stored in the memory 1003, and further perform the following operations:

[0062] When the end time is reached or it is detected that the electric auxiliary heating load is turned off, the step of obtaining the change trend of the operating environment of the air conditioner within a future preset period of time is re-executed.

[0063] Furthermore, the processor 1001 may call the control program of the air conditioner stored in the memory 1003, and further perform the following operations:

[0064] Determine, according to the change trend of the operating environment, various time periods within the future preset period that meet the operating environment of the electric auxiliary heating load;

[0065] The time period is taken as the prediction time.

[0066] Furthermore, the processor 1001 may call the control program of the air conditioner stored in the memory 1003, and further perform the following operations:

[0067] A predicted operating environment corresponding to the feedback time after the predicted operating environment change trend;

[0068] When the post-feedback time is reached, determining an actual operating environment corresponding to the post-feedback time;

[0069] The predicted time is adjusted according to a difference between the actual operating environment and the predicted operating environment.

[0070] Furthermore, the processor 1001 may call the control program of the air conditioner stored in the memory 1003, and further perform the following operations:

[0071] Detecting the operating power consumption of the electric auxiliary heating load corresponding to the electric auxiliary heating function;

[0072] Outputting the operating power consumption and / or determining the actual start-up time of the electric auxiliary heating load according to the operating power consumption;

[0073] The predicted time is adjusted according to the actual start time.

[0074] Furthermore, the processor 1001 may call the control program of the air conditioner stored in the memory 1003, and further perform the following operations:

[0075] Sending a prediction request for operating environment change trend to a cloud server, and upon receiving the prediction request, the cloud server sends the operating environment change trend of the air conditioner within the future preset time period predicted by the temperature change prediction model to the air conditioner corresponding to the prediction request;

[0076] Receive the operating environment change trend sent by the cloud server.

[0077] The following is an explanation of the content claimed in the claims of the present invention through specific exemplary schemes, so that those skilled in the art can better understand the scope of protection of the claims of the present invention. It is understood that the following exemplary schemes do not limit the scope of protection of the present invention, but are only used to explain the present invention.

[0078] For example, refer to Figure 2 In one embodiment of the air conditioner control method of the present invention, the air conditioner control method comprises the following steps:

[0079] Step S10: when receiving the electric auxiliary heating function start signal, obtaining the operating environment change trend of the air conditioner within a future preset period of time;

[0080] In this embodiment, the electric auxiliary heating function is a functional mode of the air conditioner, which uses PCT and other materials as additional electric auxiliary heating loads for electric heating to increase the heating capacity, thereby adjusting the indoor temperature and achieving the purpose of rapid and strong heating. The air conditioner will not immediately start the electric auxiliary heating load for electric heating according to the start of the electric auxiliary heating function of the air conditioner, but will start the electric auxiliary heating load according to the operating environment such as the indoor temperature, the air volume of the fan in the air conditioner, the frequency of the compressor, etc., so as to perform auxiliary electric heating when the heating capacity of the air conditioner is insufficient, so as to ensure that the air conditioner can meet the heating demand.

[0081] The activation of the electric auxiliary heating function is based on the receipt of the electric auxiliary heating function activation signal, and the electric auxiliary heating function activation signal is triggered when the triggering condition is met. Among them, the triggering condition includes at least one of the following conditions:

[0082] 1. The air conditioner is in the preset mode corresponding to the electric auxiliary heating function: The air conditioner has multiple operating modes, and the operating mode of the air conditioner that may have the electric auxiliary heating demand is used as the preset mode corresponding to the electric auxiliary heating function. For example, if there is a heating demand in the heating mode, automatic mode and other modes, there will also be a demand for electric auxiliary heating, so these operating modes can be used as the preset modes corresponding to the electric auxiliary heating function. The current air conditioner is in the preset mode corresponding to the electric auxiliary heating function, which can be used as a trigger condition for triggering the start signal of the electric auxiliary heating function.

[0083] 2. Receiving the start instruction of the electric auxiliary heating function: The user can use the terminal device or remote control to send the start instruction of the electric auxiliary heating function to the air conditioner through the app related to the air conditioner, and the air conditioner receives the start instruction of the electric auxiliary heating function. When the user triggers the electric auxiliary heating function, it indicates that he has the need to start the electric auxiliary heating function, and the start instruction of the electric auxiliary heating function received by the air conditioner can be used as the trigger condition for triggering the start signal of the electric auxiliary heating function.

[0084] 3. Arrival of the start time of the electric auxiliary heating function: The start time of the electric auxiliary heating function can be preset. For example, at night, there is a need for auxiliary heating. The night period can be set as the start time of the electric auxiliary heating function, or the start time of the electric auxiliary heating function can be set periodically. The arrival of the start time of the electric auxiliary heating function can be used as the trigger condition for triggering the start signal of the electric auxiliary heating function. When the start time of the electric auxiliary heating function is reached, the start signal of the electric auxiliary heating function can be triggered.

[0085] 4. It is detected that the current indoor temperature is lower than the preset temperature: When the current indoor temperature is lower than the preset temperature, it indicates that there is a demand for indoor heat. The current indoor temperature lower than the preset temperature can be used as a trigger condition for triggering the start signal of the electric auxiliary heating function.

[0086] 5. The increase in indoor temperature within the preset period is less than the preset temperature increase: The increase in indoor temperature within the preset period is less than the preset temperature increase, which indicates that the heating rate of the indoor temperature is slow and the electric auxiliary heating function is needed to assist in heating. The increase in indoor temperature within the preset period is less than the preset temperature increase, which can be used as a trigger condition for triggering the start signal of the electric auxiliary heating function.

[0087] After receiving the start-up signal, the control module starts the electric auxiliary heating function, determines the current operating environment in real time or at a certain interval, and starts the electric auxiliary heating load for heating when the current operating environment meets the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function.

[0088] When receiving the electric auxiliary heating function start signal, it is necessary to determine in advance the operating time of the corresponding electric auxiliary heating load after the electric auxiliary heating function is turned on, so as to determine the operating status of the electric auxiliary heating load. Therefore, it is necessary to obtain the operating environment change trend of the air conditioner in the future preset period. The future preset period is a future period with the current time as the initial time. The operating environment change trend is the change of the operating environment parameters in the future. The operating environment parameters of the air conditioner can be environmental parameters and operating parameters. The environmental parameters can be indoor temperature, outdoor temperature, etc. The operating parameters can be operating parameters of air conditioner components, such as compressor status, indoor fan status, evaporator status, etc.

[0089] Optionally, it is not necessary to obtain the operating environment change trends corresponding to all operating environment parameters. You can first determine the preset requirements of the electric auxiliary heating load for the operating environment, determine the preset operating environment parameters that need to be met based on the pre-requirements, and determine the operating environment type of the preset operating environment parameters. The operating environment change trends that need to be obtained include the operating environment change trends corresponding to the operating environment types of the preset operating environment parameters. For example, if the preset requirement of the electric auxiliary heating load for the operating environment is that the current indoor temperature is less than the preset indoor temperature corresponding to the current time, then the operating environment change trends that need to be obtained include the indoor temperature change trends, thereby saving computing expenses.

[0090] The change trend of the operating environment of the air conditioner in the future preset period can be predicted by some currently known information, such as the current indoor temperature, the current outdoor temperature, the current indoor humidity, the current indoor humidity, the air conditioner setting parameters, the outdoor environment change in the future preset period and other parameters. Specifically, a temperature change prediction model based on deep migration learning is constructed through a large number of operating environment parameters during the operation of the air conditioner. The currently known information is input into the temperature change prediction model to obtain the change trend of the operating environment of the air conditioner in the future preset period. During the operation of the air conditioner, in order to facilitate the control of the air conditioner, the change trend of the operating environment of the air conditioner in the future preset period is generally determined. For example, the temperature control curve of the indoor temperature-time is used to control the temperature of the air conditioner. Therefore, when the electric auxiliary heating function is turned on, the change trend of the operating environment of the air conditioner in the future preset period can be calculated and then obtained. It can also be directly obtained based on the calculated change trend of the operating environment of the air conditioner in the future preset period.

[0091] Optionally, a temperature control curve of the air conditioner in a future preset time period can be obtained, and then the operating parameters of the air conditioner components in the future time period can be determined based on the temperature control curve, thereby obtaining the changes in the air conditioner operating parameters. The temperature control curve can determine the changes in the indoor temperature of the air conditioner in the future time period. Therefore, the temperature control curve and the operating parameters of the air conditioner components in the future time period can be used as the operating environment change trend of the air conditioner in the future preset time period.

[0092] Step S20, predicting the predicted time of the electric auxiliary heating load operating environment that satisfies the electric auxiliary heating function according to the change trend of the operating environment;

[0093] In this embodiment, the operating environment of the air conditioner in the future period can be determined according to the operating environment change trend. In the future period, a target operating environment that meets the electric auxiliary heating load operating environment may appear, and these target operating environments can be predicted according to the operating environment change trend, and the prediction time corresponding to the target operating environment is predicted.

[0094] Step S30: configuring the predicted time as the operating time of the electric auxiliary heating load, and outputting the operating time.

[0095] In this embodiment, based on the prediction of the operating environment change trend, it can be determined that within the predicted time, the operating environment of the air conditioner will meet the operating environment of the electric auxiliary heating load, that is, it will meet the preset requirements for running the electric auxiliary heating load, and the electric auxiliary heating load will be run within the predicted time. The predicted time can be configured as the running time of the electric auxiliary heating load, and the running time of the electric auxiliary heating load is output, so that the user can understand the running time of the electric auxiliary heating load when the electric auxiliary heating function is started or shortly after it is started.

[0096] In the technical solution disclosed in this embodiment, when the electric auxiliary heating function start signal is received, the operating environment change trend of the air conditioner in the future preset period is obtained; according to the operating environment change trend, the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function is predicted; the predicted time is configured as the running time of the electric auxiliary heating load, and the running time is output. In this way, by determining the operating environment change trend of the air conditioner in the future preset period, the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function can be predicted, the predicted time is configured as the running time of the electric auxiliary heating load, and the running time is output. The running condition of the electric auxiliary heating load can be determined when the electric auxiliary heating function is started according to the running time, which is more convenient for the user to start or turn off the electric auxiliary heating function. It avoids the situation that when the user wants to turn on the electric auxiliary heating function, due to not knowing the specific running time of the electric auxiliary heating load, the user thinks that the electric auxiliary heating function will consume power immediately, causing the user to give up starting the electric auxiliary heating function, or the electric auxiliary heating function cannot be started in time, resulting in the failure to provide auxiliary heating in time, affecting the heating effect of the air conditioner, and reducing the user experience, thereby better controlling the operation of the electric auxiliary heating function.

[0097] Further, step S10 includes:

[0098] Determining, according to the change trend of the operating environment, the corresponding relationship between multiple future time points and the future operating environment within the future preset time period;

[0099] A future time point that is closest to the current time and satisfies the electric auxiliary heating load operating environment is used as the starting time of the predicted time.

[0100] In this embodiment, the correspondence between multiple future time points and the future operating environment within a future preset period can be determined according to the trend of the operating environment change. The future operating environment corresponding to the future time points can be determined in chronological order starting from the future time point closest to the current time according to the trend of the operating environment change, and the time closest to the current time and satisfying the electric auxiliary heating load operating environment is used as the starting time of the prediction time. The starting time is also the time after the current time when the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function is initially satisfied, that is, the start time of the electric auxiliary heating load.

[0101] It should be noted that the predicted time does not necessarily need to determine the end time, nor does it necessarily need to determine the start time. The preset time can indicate that the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function is predicted to be satisfied from the start time, and / or that the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function is not satisfied from the end time. Then the corresponding operating time can also be expressed as starting the electric auxiliary heating load corresponding to the electric auxiliary heating function from the start time, and / or shutting down the electric auxiliary heating load corresponding to the electric auxiliary heating function from the end time. It is also necessary to determine the corresponding operating conditions of the electric auxiliary heating function after the electric auxiliary heating function is started.

[0102] For example, after the electric auxiliary heating function is started, the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function will still be met at the end of the future preset period, but it is impossible to determine whether the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function will still be met after the future preset period. In this way, the end time of the predicted time cannot be determined, so the predicted time can only determine the starting time.

[0103] In this way, through the correspondence between multiple future time points and the future operating environment within the future preset time period, the starting time that first meets the operating environment of the electric auxiliary heating load can be quickly and accurately determined, thereby improving the efficiency of determining the operating time, and can quickly and accurately determine the operating status of the electric auxiliary heating load after the electric auxiliary heating function is started.

[0104] Further, step S10 includes:

[0105] Determining, according to the change trend of the operating environment, the corresponding relationship between multiple future time points and the future operating environment within the future preset time period;

[0106] A future time point which is closest to the start-up time of the electric auxiliary heating load and does not meet the operating environment of the electric auxiliary heating load is used as the end time of the predicted time.

[0107] In this embodiment, the correspondence between multiple future time points and future operating environments within a preset future period can be determined according to the operating environment change trend, and the future time point closest to the start time of the electric auxiliary heating load and not meeting the electric auxiliary heating load operating environment is used as the end time of the prediction time. The start time of the electric auxiliary heating load needs to be determined in the meantime.

[0108] The start-up time of the electric auxiliary heating load can be determined based on the predicted or currently detected actual operating power consumption of the electric auxiliary heating load, which can be divided into two specific cases:

[0109] When the electric auxiliary heating function is started, the electric auxiliary heating load operating environment is met;

[0110] In this case, the start-up time of the electric auxiliary heating load can be determined based on the change trend of the operating environment of the air conditioner within a preset period in the future, and the future time point that is closest to the current time and meets the operating environment of the electric auxiliary heating load; it can also be determined based on the actual operating power consumption of the electric auxiliary heating load currently detected. When the electric auxiliary heating function is started, the actual operating power consumption is greater than the preset value, and it is considered that the electric auxiliary heating load is started, and the current time can be used as the start-up time.

[0111] When the electric auxiliary heating function is started, the electric auxiliary heating load operating environment is not met;

[0112] It is determined according to the actual operating power consumption of the electric auxiliary heating load currently detected. When the electric auxiliary heating function is started, the actual operating power consumption is less than the preset value, and it is considered that the electric auxiliary heating load is not started. The current time cannot be used as the start-up time, and it can only be determined by prediction, that is, according to the changing trend of the operating environment of the air conditioner within a preset period in the future, the future time point closest to the current time and meeting the operating environment of the electric auxiliary heating load is used as the predicted time.

[0113] Then, after the start time of the electric auxiliary heating load is determined, the future time point that is closest to the start time of the electric auxiliary heating load and does not meet the electric auxiliary heating load operating environment is used as the end time of the prediction time. Starting from the start time of the electric auxiliary heating load, according to the change trend of the operating environment, the future operating environment corresponding to the future time point can be determined in chronological order, and the time point that is closest to the start time of the electric auxiliary heating load and meets the electric auxiliary heating load operating environment is used as the end time of the prediction time. It should be noted that the start time of the electric auxiliary heating load may not necessarily determine the end time of the prediction time according to the change trend of the operating environment of the air conditioner in the future preset period.

[0114] In this way, through the correspondence between multiple future time points and the future operating environment within the future preset time period, the end time of the predicted time that does not meet the electric auxiliary heating load operating environment closest to the start time of the electric auxiliary heating load can be quickly and accurately determined, and combined with the start time of the electric auxiliary heating load, the operating time of the electric auxiliary heating load closest to the current time can be completely determined, thereby improving the accuracy and efficiency of determining the operating time, and can quickly and accurately determine the operating status of the electric auxiliary heating load after the electric auxiliary heating function is started.

[0115] Further, after the step of using a future time point that is closest to the start time of the electric auxiliary heating load and does not meet the electric auxiliary heating load operating environment as the end time of the predicted time, the method further includes:

[0116] When the end time is reached or it is detected that the electric auxiliary heating load is turned off, the step of obtaining the change trend of the operating environment of the air conditioner within a future preset period of time is re-executed.

[0117] In this embodiment, when the end time of the predicted time is reached, or when it is detected that the electric auxiliary heating load stops running, if it is detected that the actual operating power consumption of the electric auxiliary heating load is less than the preset value, it is necessary to redetermine the future preset time period and re-execute the steps of the future preset time period to redetermine the next electric auxiliary heating load operation time.

[0118] In this way, each time the electric auxiliary heating load stops running, the next running time of the electric auxiliary heating load is re-determined, thereby more accurately determining the running condition of the electric auxiliary heating load after the electric auxiliary heating function is turned on.

[0119] Further, step S20 includes:

[0120] Determine, according to the change trend of the operating environment, various time periods within the future preset period that meet the operating environment of the electric auxiliary heating load;

[0121] The time period is taken as the prediction time.

[0122] In this embodiment, the changing trend of the operating environment is analyzed as a whole to determine the various time periods that meet the operating environment of the electric auxiliary heating load within the future preset period. In this way, all time periods that meet the operating environment of the electric auxiliary heating load within the future preset period can be determined at one time, and these time periods are used as prediction times, that is, as the operating time of the electric auxiliary heating load within the future preset period, so as to quickly determine the operating status of the electric auxiliary heating load after the electric auxiliary heating function is turned on, thereby improving the calculation efficiency.

[0123] Furthermore, step S10 includes:

[0124] Sending a prediction request for operating environment change trend to a cloud server, and upon receiving the prediction request, the cloud server sends the operating environment change trend of the air conditioner within the future preset time period predicted by the temperature change prediction model to the air conditioner corresponding to the prediction request;

[0125] Receive the operating environment change trend sent by the cloud server.

[0126] In this embodiment, the temperature change prediction model can predict the change trend of the operating environment of the air conditioner in the future preset period. The temperature change prediction model can accurately determine the change trend of the operating environment of the air conditioner in the future preset period through the refined training of big data. The temperature change prediction model can be integrated with the air conditioner to avoid the sending of disconnection events, and can also be integrated with the cloud server to reduce the computing pressure of the air conditioner.

[0127] The air conditioner generates an operating environment change trend prediction request based on the known parameters required by the temperature change prediction model to predict the operating environment change trend. The known parameters may be the air conditioner ID, air conditioner signal, current indoor environment parameters, current outdoor environment parameters and / or air conditioner setting parameters, etc., and then sends the prediction request to the cloud server. After receiving the prediction request, the cloud server predicts the operating environment change trend of the air conditioner within a preset time period in the future based on the temperature change prediction model, and sends the predicted operating environment changes to the air conditioner corresponding to the prediction request. The air conditioner receives the operating environment change trend sent by the cloud server.

[0128] In this way, the temperature change prediction model based on big data training can be run quickly through the cloud server, which can accurately and quickly predict the changing trend of the air conditioner's operating environment within a preset period of time in the future based on the temperature change prediction model, thereby more accurately determining the operating status of the electric auxiliary heating load after the electric auxiliary heating function is turned on.

[0129] Optionally, refer to Figure 3 Based on any of the above embodiments, in another embodiment of the air conditioner control method of the present invention, after step S20, the air conditioner control method further includes:

[0130] Step S40, predicting the operating environment corresponding to the feedback time after the operating environment change trend prediction;

[0131] Step S50: when the post-feedback time is reached, determining the actual operating environment corresponding to the post-feedback time;

[0132] Step S60: adjusting the predicted time according to the difference between the actual operating environment and the predicted operating environment.

[0133] In this embodiment, due to the limited accuracy of the prediction method, the prediction time needs to be corrected, and this correction can be made by feedback. That is, during the operation of the air conditioner after the prediction, before the end of the prediction time, one or more post-feedback times are set, and the predicted operating environment corresponding to the post-feedback time is predicted according to the trend of the operating environment change. Then, when the post-feedback time is reached, the actual operating environment actually corresponding to the post-feedback time is detected. According to the difference between the actual operating environment and the predicted operating environment, this difference can reflect the prediction error. According to this difference, the prediction time is adjusted. Before the start of the prediction time, the start time and / or end time of the prediction time can be adjusted. After the start time of the prediction time, the post-feedback time can adjust the end time of the prediction time. After the prediction time is adjusted, the adjusted prediction time is reconfigured as the operating time of the electric auxiliary heating load, and the operating time is re-output.

[0134] In this way, the prediction error is corrected by feedback from the actual operating environment, thereby more accurately determining the operating conditions of the electric auxiliary heating load after the electric auxiliary heating function is turned on.

[0135] Optionally, refer to Figure 4 Based on any of the above embodiments, in another embodiment of the air conditioner control method of the present invention, after step S20, the air conditioner control method further includes:

[0136] Step S70, detecting the operating power consumption of the electric auxiliary heating load corresponding to the electric auxiliary heating function;

[0137] Step S80, outputting the operating power consumption and / or determining the actual start-up time of the electric auxiliary heating load according to the operating power consumption;

[0138] Step S90: adjusting the predicted time according to the actual startup time.

[0139] In this embodiment, the real-time operating power consumption of the electric auxiliary heating load can also be detected by the detection device. On the one hand, the real-time operating power consumption of the electric auxiliary heating load can be output, so that the real-time operating status of the electric auxiliary heating load can be determined; on the other hand, the real-time operating status of the electric auxiliary heating load can also be determined according to the operating power consumption, and the end time of the predicted time can be adjusted based on the operating status.

[0140] Optionally, generally after the actual operation of the electric auxiliary heating load is determined based on the operating power consumption, there is no need to adjust the start time of the predicted time. Instead, the prediction error can be expressed based on the difference between the actual start time of the electric auxiliary heating load determined based on the operating power consumption and the start time of the predicted time, thereby adjusting the end time of the predicted time.

[0141] After the prediction time is adjusted, the adjusted prediction time is reconfigured as the operating time of the electric auxiliary heating load, and the operating time is re-output. In this way, the prediction error is corrected by feedback of the actual operating conditions of the electric auxiliary heating load, thereby more accurately determining the operating conditions of the electric auxiliary heating load after the electric auxiliary heating function is turned on.

[0142] In addition, an embodiment of 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. When the air conditioner control program is executed by the processor, the steps of the air conditioner control method described in the above embodiments are implemented.

[0143] In addition, an embodiment of the present invention further proposes a computer-readable storage medium, on which a control program for an air conditioner is stored. When the control program for the air conditioner is executed by a processor, the steps of the control method for the air conditioner described in the above embodiments are implemented.

[0144] 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.

[0145] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0146] 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, and the computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, including a number of instructions for enabling the air conditioner to execute the methods described in each embodiment of the present invention.

[0147] 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. A method for controlling an air conditioner, characterized in that: The control method of the air conditioner comprises: When receiving the electric auxiliary heating function start signal, obtaining the operating environment change trend of the air conditioner in the future preset period; According to the change trend of the operating environment, predict the predicted time of the electric auxiliary heating load operating environment that satisfies the electric auxiliary heating function; The predicted time is configured as the operating time of the electric auxiliary heating load, and the operating time is output.

2. The method according to claim 1, characterized in that: The step of predicting the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function according to the operating environment change trend comprises: Determining, according to the change trend of the operating environment, the corresponding relationship between multiple future time points and the future operating environment within the future preset time period; A future time point that is closest to the current time and satisfies the electric auxiliary heating load operating environment is used as the starting time of the predicted time.

3. The method according to claim 1, characterized in that: The step of predicting the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function according to the operating environment change trend comprises: Determining, according to the change trend of the operating environment, the corresponding relationship between multiple future time points and the future operating environment within the future preset time period; A future time point which is closest to the start-up time of the electric auxiliary heating load and does not meet the operating environment of the electric auxiliary heating load is used as the end time of the predicted time.

4. The method according to claim 3, characterized in that: After the step of using the future time point closest to the start time of the electric auxiliary heating load and not satisfying the electric auxiliary heating load operating environment as the end time of the predicted time, the method further includes: When the end time is reached or it is detected that the electric auxiliary heating load is turned off, the step of obtaining the change trend of the operating environment of the air conditioner within a future preset period of time is re-executed.

5. The method according to claim 1, characterized in that: The step of predicting the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function according to the operating environment change trend comprises: Determine, according to the change trend of the operating environment, various time periods within the future preset period that meet the operating environment of the electric auxiliary heating load; The time period is taken as the prediction time.

6. The method according to claim 1, characterized in that After the step of predicting the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function according to the operating environment change trend, the method further includes: A predicted operating environment corresponding to the feedback time after the predicted operating environment change trend; When the post-feedback time is reached, determining an actual operating environment corresponding to the post-feedback time; The predicted time is adjusted according to a difference between the actual operating environment and the predicted operating environment.

7. The method according to claim 1, characterized in that After the step of predicting the predicted time of the electric auxiliary heating load operating environment corresponding to the electric auxiliary heating function according to the operating environment change trend, the method further includes: Detecting the operating power consumption of the electric auxiliary heating load corresponding to the electric auxiliary heating function; Outputting the operating power consumption and / or determining the actual start-up time of the electric auxiliary heating load according to the operating power consumption; The predicted time is adjusted according to the actual start time.

8. The method according to claim 1, characterized in that The step of obtaining the change trend of the operating environment of the air conditioner within a preset period of time in the future includes: Sending a prediction request for operating environment change trend to a cloud server, and upon receiving the prediction request, the cloud server sends the operating environment change trend of the air conditioner within the future preset time period predicted by the temperature change prediction model to the air conditioner corresponding to the prediction request; Receive the operating environment change trend sent by the cloud server.

9. An air conditioner, characterized in that: The air conditioner comprises: a memory, a processor and a control program of the air conditioner stored in the memory and executable on the processor, wherein the control program of the air conditioner implements the steps of the control method of the air conditioner as described in any one of claims 1 to 8 when executed by the processor.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a control program for the air conditioner, and when the control program for the air conditioner is executed by the processor, the steps of the control method for the air conditioner according to any one of claims 1 to 8 are implemented.

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