Air conditioner control method and apparatus, electronic device, and computer-readable storage medium

Abstract

The present application discloses an air conditioner control method and apparatus, an electronic device, and a computer-readable storage medium. The method comprises: in response to an operating duration of an air conditioner (100) in an energy-saving mode reaching a first preset duration, continuously acquiring operating parameters until the air conditioner (100) operates for a target operating duration, wherein the target operating duration is counted from the time when the air conditioner starts operating in the energy-saving mode, and the first preset duration is shorter than the target operating duration; on the basis of the operating parameters, determining temperature difference information after the air conditioner (100) operates for the target operating duration, the temperature difference information being used for representing a temperature difference value of a space where the air conditioner (100) is located after the target operating duration; determining a target operating strategy on the basis of the temperature difference information, wherein the target operating strategy is an operating strategy for energy-saving operation under the temperature difference information; and controlling the air conditioner (100) to operate on the basis of the target operating strategy. By means of the air conditioner (100) control method provided in the present application, a temperature difference between an indoor temperature after a preset duration and a set temperature can be predicted, and an operating strategy of the air conditioner (100) is further adjusted on the basis of the temperature difference.

Description

Air conditioning control methods, devices, electronic equipment and computer-readable storage media

[0001] This application claims priority to Chinese patent application No. 202411550487.0, filed on October 31, 2024, entitled "Air Conditioning Control Method, Apparatus, Electronic Device and Computer-Readable Storage Medium", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of air conditioning technology, specifically to an air conditioning control method, device, electronic device, and computer-readable storage medium. Background Technology

[0003] With the continuous development of air conditioning and the continuous improvement of people's living standards, everyday appliances are no longer satisfied with their existing functions. In the current era of rapid development of artificial intelligence technology (AI technology), air conditioning equipment can be combined with AI technology for algorithm training to achieve the function of intelligent frequency reduction and energy saving. This can not only reduce energy consumption and protect the environment, but also enhance the market competitiveness of the product. Technical issues

[0004] Existing intelligent air conditioning control technologies mainly adjust the operating mode based on user habits and environment to avoid unnecessary power consumption, but the energy-saving effect is not ideal. Technical solutions

[0005] This application provides an air conditioning control method, device, electronic device, and computer-readable storage medium, which can predict the temperature difference between the indoor temperature and the set temperature after a preset time, and further adjust the air conditioning operation strategy according to the temperature difference, thereby achieving the technical effect of reducing the air conditioning operating energy consumption without changing the air conditioning cooling or heating effect.

[0006] In a first aspect, embodiments of this application provide an air conditioning control method, applied to an air conditioner, the method comprising:

[0007] In response to the air conditioner running in energy-saving mode for a first preset time, the operating parameters of the air conditioner before the target running time are continuously acquired, wherein the target running time is started from the time the air conditioner starts running in energy-saving mode, and the first preset time is before the target running time;

[0008] Based on the operating parameters, the temperature difference information after the air conditioner has been running for the target operating time is determined, wherein the temperature difference information is used to characterize the temperature difference value of the space where the air conditioner is located after the target operating time;

[0009] The target operating strategy is determined based on the temperature difference information, wherein the target operating strategy is an energy-saving operating strategy under the temperature difference information;

[0010] Control the air conditioner to operate according to the target operating strategy.

[0011] Optionally, in some embodiments of this application, determining the temperature difference information after the air conditioner has run for the target operating time based on the operating parameters includes:

[0012] Obtain the first operating parameters of the air conditioner within the time range corresponding to the first preset time, wherein the first operating parameters include at least: the first space temperature and the first set temperature;

[0013] The first temperature difference curve is determined based on the first operating parameters;

[0014] The target temperature difference value corresponding to the target running time of the first temperature difference curve is determined to be the temperature difference information.

[0015] Optionally, in some embodiments of this application, determining the temperature difference information after the air conditioner has run for the target operating time based on the operating parameters further includes:

[0016] The second operating parameters of the air conditioner are obtained within a time range corresponding to a second preset time, wherein the second preset time starts counting from the end of the first preset time, the second preset time is before the target operating time, and the second operating parameters include at least: a second space temperature and a second set temperature;

[0017] The target temperature difference curve is determined based on the first operating parameter and the second operating parameter;

[0018] Determine the target temperature difference value corresponding to the target operating time for the target temperature difference curve;

[0019] Calculate the time difference between the target running time and the second preset time;

[0020] Determine the first temperature difference value of the target temperature difference curve at the time point corresponding to the time difference value;

[0021] The temperature difference information is determined based on the target temperature difference value and the first temperature difference value.

[0022] Optionally, in some embodiments of this application, determining the first temperature difference curve based on the first operating parameters includes: obtaining a preset fitting model, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: a decay constant and an initial value.

[0023] Using the attenuation constant and the initial value, the first temperature difference curve is determined based on the first space temperature and the first set temperature.

[0024] Optionally, in some embodiments of this application, determining the target temperature difference curve based on the first operating parameter and the second operating parameter includes:

[0025] A preset fitting model is obtained, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: a decay constant and an initial value.

[0026] The first temperature difference curve is determined using a preset fitting model based on the first space temperature and the first set temperature.

[0027] Determine the second temperature value corresponding to the first temperature difference curve at the second preset time;

[0028] Based on the second temperature value, the attenuation constant and the initial value are corrected to determine the target attenuation constant and the target initial value;

[0029] Using the target attenuation constant and the target initial value, the target temperature difference curve is determined based on the second space temperature and the second set temperature.

[0030] Optionally, in some embodiments of this application, determining the target operating strategy based on the temperature difference information includes:

[0031] If the target temperature difference is less than the first preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner to the first preset frequency value.

[0032] Optionally, in some embodiments of this application, determining the target operating strategy based on the temperature difference information includes:

[0033] If the target temperature difference is less than the first preset temperature difference and the first temperature difference is greater than the second preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner by the first preset frequency value.

[0034] Secondly, embodiments of this application also provide an air conditioning control device for use in an air conditioner, the device comprising:

[0035] The acquisition module is used to continuously acquire the operating parameters of the air conditioner before the target operating time in energy-saving mode in response to the air conditioner running for a first preset time. The target operating time is started from the time when the air conditioner starts running in energy-saving mode, and the first preset time is before the target operating time.

[0036] The processing module is used to determine the temperature difference information after the air conditioner has been running for the target running time based on the operating parameters, wherein the temperature difference information is used to characterize the temperature difference value of the space where the air conditioner is located after the target running time;

[0037] The processing module is further configured to determine a target operating strategy based on the temperature difference information, wherein the target operating strategy is an energy-saving operating strategy under the temperature difference information;

[0038] The processing module is also used to control the air conditioner to operate according to the target operating strategy.

[0039] Optionally, in some embodiments of this application, the processing module is used to:

[0040] Obtain the first operating parameters of the air conditioner within the time range corresponding to the first preset time, wherein the first operating parameters include at least: the first space temperature and the first set temperature;

[0041] The first temperature difference curve is determined based on the first operating parameters;

[0042] The target temperature difference value corresponding to the target running time of the first temperature difference curve is determined to be the temperature difference information.

[0043] Optionally, in some embodiments of this application, the processing module is further configured to:

[0044] The second operating parameters of the air conditioner are obtained within a time range corresponding to a second preset time, wherein the second preset time starts counting from the end of the first preset time, the second preset time is before the target operating time, and the second operating parameters include at least: a second space temperature and a second set temperature;

[0045] The target temperature difference curve is determined based on the first operating parameter and the second operating parameter;

[0046] Determine the target temperature difference value corresponding to the target operating time for the target temperature difference curve;

[0047] Calculate the time difference between the target running time and the second preset time;

[0048] Determine the first temperature difference value of the target temperature difference curve at the time point corresponding to the time difference value;

[0049] The temperature difference information is determined based on the target temperature difference value and the first temperature difference value.

[0050] Optionally, in some embodiments of this application, the processing module is further configured to:

[0051] A preset fitting model is obtained, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: a decay constant and an initial value.

[0052] Using the attenuation constant and the initial value, the first temperature difference curve is determined based on the first space temperature and the first set temperature.

[0053] Optionally, in some embodiments of this application, the processing module is further configured to:

[0054] A preset fitting model is obtained, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: a decay constant and an initial value.

[0055] The first temperature difference curve is determined using a preset fitting model based on the first space temperature and the first set temperature.

[0056] Determine the second temperature value corresponding to the first temperature difference curve at the second preset time;

[0057] Based on the second temperature value, the attenuation constant and the initial value are corrected to determine the target attenuation constant and the target initial value;

[0058] Using the target attenuation constant and the target initial value, the target temperature difference curve is determined based on the second space temperature and the second set temperature.

[0059] Optionally, in some embodiments of this application, the processing module is further configured to:

[0060] If the target temperature difference is less than the first preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner to the first preset frequency value.

[0061] Optionally, in some embodiments of this application, the processing module is further configured to:

[0062] If the target temperature difference is less than the first preset temperature difference and the first temperature difference is greater than the second preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner by the first preset frequency value.

[0063] Thirdly, embodiments of this application also provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps in the above-described air conditioning control method.

[0064] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the aforementioned air conditioning control method.

[0065] Fifthly, embodiments of this application also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the methods provided in the various optional implementations described in embodiments of this application. Beneficial effects

[0066] In summary, this application embodiment continuously acquires the operating parameters of the air conditioner before the target operating time is reached in response to the air conditioner operating in energy-saving mode for a first preset time. The target operating time is counted from the start of the air conditioner's energy-saving mode operation, and the first preset time is prior to the target operating time. Based on the operating parameters, temperature difference information is determined after the air conditioner has operated for the target operating time. This temperature difference information characterizes the temperature difference value of the space where the air conditioner is located after the target operating time. A target operating strategy is determined based on the temperature difference information, where the target operating strategy is an energy-saving operating strategy under the temperature difference information. The technical solution of controlling the air conditioner to operate according to the target operating strategy can predict the temperature difference between the indoor temperature and the set temperature after a preset time, and further adjust the air conditioner operating strategy based on the temperature difference, thereby achieving the technical effect of reducing air conditioner operating energy consumption without changing the air conditioner's cooling or heating effect. Attached Figure Description

[0067] To more clearly illustrate the technical solutions in this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0068] Figure 1 is a schematic diagram of a scenario for the air conditioning control method provided in an embodiment of this application;

[0069] Figure 2 is a flowchart illustrating the air conditioning control method provided in an embodiment of this application;

[0070] Figure 3 is a schematic diagram of a scenario in which an air conditioner, combined with a cloud server, performs the air conditioner control method according to an embodiment of this application;

[0071] Figure 4 is a schematic diagram of the temperature difference-time curve provided in an embodiment of this application;

[0072] Figure 5 is a schematic diagram of the overall flow of the air conditioning control method provided in the embodiment of this application;

[0073] Figure 6 is a schematic diagram of the structure of the air conditioning control device provided in an embodiment of this application;

[0074] Figure 7 is a schematic diagram of the structure of the electronic device provided in an embodiment of this application. Embodiments of the present invention

[0075] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0076] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the aforementioned features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0077] In this application, the term "exemplary" is used to mean "serving as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0078] First, let's explain the terms used in this application:

[0079] The Internet of Things (IoT) refers to the connection of various physical devices, sensors, software, and other technologies via the Internet, enabling these devices to communicate with each other and exchange data.

[0080] Compressor frequency: This refers to the operating frequency of the compressor in the outdoor unit of an air conditioner. The compressor is one of the core components of the air conditioning system, responsible for compressing the refrigerant and driving its circulation within the system. The unit for measuring the compressor's operating frequency is Hertz (Hz).

[0081] AI models: Artificial intelligence models. These are mathematical models trained using machine learning or deep learning algorithms to perform specific tasks, such as classification, regression, image recognition, and natural language processing. AI models are core components of artificial intelligence systems; they learn and analyze large amounts of data to identify patterns, make predictions, or make decisions.

[0082] Cloud computing is a model for providing computing resources and services via the internet. It allows users to access and use computing resources, such as servers, storage, databases, networks, and software, on demand, without having to purchase and maintain this hardware and software infrastructure themselves.

[0083] This application provides an air conditioning control method, apparatus, electronic device, and computer-readable storage medium. It employs a technical solution that, in response to the air conditioner's operating time in energy-saving mode reaching a first preset time, continuously acquires operating parameters of the air conditioner up to a target operating time, wherein the target operating time is counted from the start of the air conditioner's energy-saving mode operation, and the first preset time is prior to the target operating time; determines temperature difference information after the air conditioner has operated to the target operating time based on the operating parameters, the temperature difference information being used to characterize the temperature difference value of the space where the air conditioner is located after the target operating time; determines a target operating strategy based on the temperature difference information, wherein the target operating strategy is an energy-saving operating strategy under the temperature difference information; and controls the air conditioner to operate according to the target operating strategy.

[0084] In summary, the air conditioning control method provided in this application can predict the temperature difference between the indoor temperature and the set temperature after a preset time, and further adjust the air conditioning operation strategy according to the temperature difference, thereby achieving the technical effect of reducing the air conditioning energy consumption without changing the air conditioning cooling or heating effect as much as possible.

[0085] The following sections provide detailed descriptions of each example. It should be noted that the order in which the embodiments are described is not intended to limit the priority of the embodiments.

[0086] Please refer to Figure 1, which is a schematic diagram of an air conditioning control method provided in this application embodiment. The air conditioning control system may include an air conditioner 100 and a main control device 200. The air conditioner 100 and the main control device 200 can communicate with each other in any way, including but not limited to signal communication via electronic circuits or wireless signals. The wireless signal can be computer network communication using the TCP / IP protocol suite (TCP / IP) or User Datagram Protocol (UDP). The air conditioner 100 can receive control signals from a remote control or control panel to perform a series of air conditioning functions such as cooling, heating, dehumidification, and dust removal. The air conditioner 100 can also receive instruction information sent by the main control device 200. Based on the corresponding instruction information, the air conditioner 100 can perform a series of operations such as cooling, heating, dehumidification, and dust removal, as in the air conditioning control method of this application.

[0087] In this embodiment, the air conditioner 100 includes, but is not limited to, wall-mounted air conditioners, floor-standing air conditioners, window air conditioners, ceiling-mounted air conditioners, and recessed air conditioners.

[0088] Those skilled in the art will understand that the application environment shown in Figure 1 is only one application scenario of the present application solution and does not constitute a limitation on the application scenario of the present application solution. Other application environments may include more or fewer air conditioners than those shown in Figure 1. For example, only one air conditioner is shown in Figure 1. The air conditioning control system of the present application may also include one or more air conditioners for performing the air conditioning control method of the present application. The specific details are not limited here.

[0089] In addition, as shown in Figure 1, the main control device 200 may include any hardware device capable of data processing and instruction sending, such as a CPU or microcontroller embedded inside the air conditioner; no specific limitation is made here.

[0090] It should be noted that the schematic diagram of the air conditioning control system shown in Figure 1 is merely an example. The air conditioning control system and scenario described in the embodiments of this application are intended to more clearly illustrate the technical solutions of the embodiments of this application and do not constitute a limitation on the technical solutions provided in the embodiments of this application. As those skilled in the art will know, with the evolution of air conditioning control systems and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0091] Specifically, please refer to Figure 2, which is a schematic diagram of a scenario in which an air conditioner performs the air conditioner control method according to an embodiment of this application. The specific execution process of the air conditioner performing the air conditioner control method is as follows:

[0092] S201: In response to the air conditioner reaching the first preset time in energy-saving mode, continuously acquire the operating parameters of the air conditioner before the target operating time.

[0093] In this embodiment of the application, the target running time is started from the time when the air conditioner is turned on and running in energy-saving mode, and the first preset time is before the target running time.

[0094] In this embodiment, the energy-saving mode is an AI energy-saving mode. The control command for the AI ​​energy-saving mode can be issued by the user (or it can be automatically triggered when a certain parameter reaches a preset value). When the air conditioner runs in the AI ​​energy-saving mode for a first preset time, it can collect various operating parameters of the air conditioner in real time and send the operating parameters to the AI ​​model. The AI ​​model processes the operating parameters and predicts the cooling effect of the air conditioner's working environment after a specified time in the future. Based on the prediction results, it adjusts and reduces the compressor's operating frequency in real time, ultimately achieving the technical effect of reducing compressor energy consumption without affecting the cooling effect, so as to achieve energy saving and power saving.

[0095] It should be noted that operating parameters may include, but are not limited to: compressor frequency, indoor temperature, set temperature, fan speed, air guide component rotation angle, indoor area, and other parameters that affect the air conditioner's cooling or heating performance, as well as environmental parameters.

[0096] Optionally, after the air conditioner is turned on, the air conditioner obtains its own operating parameters and determines whether it has received a control command for running the AI ​​energy-saving mode based on the operating parameters. If the command is received, the air conditioner determines the temperature difference between the indoor temperature and the set temperature under the current operating parameters. If the temperature difference is greater than or equal to the temperature difference threshold (e.g., 2 degrees Celsius), the air conditioner adjusts its operating mode to energy-saving mode.

[0097] Optionally, if the air conditioner does not receive a control command for AI energy-saving mode operation after it is turned on, but the temperature difference between the indoor temperature and the set temperature is greater than or equal to the temperature difference threshold (e.g., 2 degrees Celsius), it will still operate in normal mode.

[0098] Correspondingly, when the air conditioner is turned on, if it receives the control command to operate in AI energy-saving mode, but the temperature difference between the indoor temperature and the set temperature is less than the second temperature difference threshold, it will also operate in normal mode.

[0099] That is, in the embodiments of this application, the AI ​​energy-saving mode is entered when all of the following conditions are met at the same time: (1) the setting of the cooling mode (the cooling mode in non-automatic mode, and the automatic mode is not necessarily the AI ​​energy-saving mode) is received via remote control / APP / panel / voice, etc.; (2) the setting of the AI ​​energy-saving mode is received via remote control / APP / panel / voice, etc.; (3) the indoor temperature minus the set temperature is greater than or equal to the second temperature difference threshold.

[0100] It should be noted that the temperature difference threshold can be set to 2 degrees Celsius or other values, and can be changed or set in practical applications.

[0101] As one possible implementation, Figure 3 illustrates a scenario where an air conditioner, in conjunction with a cloud server, executes the air conditioner control method. Leveraging IoT technology, the air conditioner reports its operating parameters to the cloud server in real time while connected to the network, for example, every 4 seconds. After collecting the reported operating parameters, the cloud uses an AI model to predict whether the indoor temperature difference (in cooling mode, temperature difference = indoor temperature - set temperature; in heating mode, temperature difference = set temperature - indoor temperature) one hour after the air conditioner begins cooling will be less than a preset temperature difference value, for example, -0.5 degrees Celsius.

[0102] It should be noted that when the air conditioner is used in conjunction with the cloud server to execute this air conditioner control method, a WIFI module can be used as a data transmission medium to transmit air conditioner data and cloud server data, including reporting air conditioner operating parameters and sending cloud commands. Furthermore, when a network outage is detected, a network outage message is sent to the indoor unit. For example, a ping packet is sent to the cloud every 40 seconds, and a response is waited for; if no response is received after 20 seconds, a network outage is considered to have occurred.

[0103] Optionally, taking air conditioner cooling mode as an example, if the indoor temperature minus the set temperature is less than -0.5 degrees Celsius, the compressor operating frequency is adjusted by subtracting 4 Hz from the compressor operating frequency corresponding to the most recently reported operating parameters. If the indoor temperature minus the set temperature is greater than -0.5 degrees Celsius, operating parameters continue to be collected and predicted using an AI model on a cloud server. During this process, after each air conditioner reports its operating parameters, the AI ​​model makes a temperature prediction for that air conditioner based on those parameters, enabling flexible and intelligent control for each air conditioner operating in different complex environments, achieving better and more stable energy-saving effects.

[0104] It should be noted that in this embodiment, the air conditioner consumes more energy during the first hour of operation. After one hour, the indoor temperature decreases and the temperature difference becomes smaller, so the air conditioner may automatically reduce its operating frequency. After one hour, it is not meaningful for the AI ​​model on the cloud server to continue calculations, so it can be discontinued to avoid wasting cloud computing power. Therefore, in this embodiment, the target running time can be set to one hour, and the first preset duration can be set to five minutes.

[0105] It should also be noted that the specific temperature, temperature difference, and time values ​​mentioned above are just examples. The specific temperature, temperature difference, and time parameters can be set according to the actual operating conditions, and no specific limitations are made in this application.

[0106] Optionally, when the cloud server calculates that the air conditioner needs to adjust and reduce the compressor frequency, it sends a command to the corresponding indoor unit of the air conditioner through Internet of Things technology. The indoor unit of the air conditioner acts as a data transmission medium and transmits the command to the outdoor unit. The outdoor unit then changes the compressor frequency according to the command.

[0107] It should be noted that the temperature prediction using the AI ​​model based on the air conditioner's operating parameters in this embodiment can also be performed in the processor inside the air conditioner. When the processor is used to process the temperature prediction step, there is no need to use IoT technology to communicate with the cloud.

[0108] S202: Based on the operating parameters, determine the temperature difference information after the air conditioner has run for the target operating time. The temperature difference information is used to characterize the temperature difference value of the space where the air conditioner is located after the target operating time.

[0109] In this embodiment of the application, the temperature difference information is used to indicate the temperature difference between the indoor temperature and the set temperature after the air conditioner has been running for a preset time under the operating parameter information.

[0110] In this embodiment of the application, after the air conditioner has been running in energy-saving mode for a first preset time, the air conditioner control method provided in this embodiment of the application may optionally include: obtaining the first operating parameters of the air conditioner within the time range corresponding to the first preset time; determining the first temperature difference curve based on the first operating parameters; and determining the target temperature difference value of the first temperature difference curve corresponding to the target operating time as temperature difference information.

[0111] In this embodiment, the first operating parameters include at least: a first space temperature, a first set temperature, etc., and may also include compressor frequency, fan speed, etc. Temperature difference information is used to characterize the temperature difference value of the space where the air conditioner is located after the target operating time.

[0112] In this embodiment of the application, the first temperature difference curve is used to characterize the temperature difference between the indoor temperature and the set temperature within a first preset time period.

[0113] Optionally, after the air conditioner is turned on and enters the AI ​​energy-saving mode, the operating parameter information is sent to the cloud server or the air conditioner's processor. The AI ​​model in the cloud server or air conditioner processor determines the first temperature difference curve based on the operating parameter information, and determines the temperature difference information based on the first temperature difference curve, thereby adjusting the compressor's operating frequency.

[0114] Optionally, the air conditioning control method provided in this application embodiment further includes: obtaining a preset fitting model, wherein: using an attenuation constant and an initial value, a first temperature difference curve is determined based on a first space temperature and a first set temperature.

[0115] In this embodiment of the application, the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data. The preset fitting model includes at least: a decay constant and an initial value.

[0116] Specifically, taking the case of achieving energy saving by controlling the compressor's operating frequency in air conditioning cooling mode as an example, after the air conditioner is started and enters AI energy-saving mode, the compressor's operating data within the first preset time period is obtained from the operating parameters, and the first temperature difference curve f(t) is obtained by fitting the operating data within the first preset time period and the preset fitting model.

[0117] In this embodiment of the application, after the air conditioner has been running in energy-saving mode for a first preset time, optionally, the air conditioner control method provided in this embodiment of the application further includes: obtaining second operating parameters of the air conditioner within a time range corresponding to a second preset time; determining a target temperature difference curve based on the first operating parameters and the second operating parameters; determining a target temperature difference value corresponding to the target operating time of the target temperature difference curve; calculating the time difference between the target operating time and the second preset time; determining a first temperature difference value of the target temperature difference curve at the time point corresponding to the time difference value; and determining temperature difference information based on the target temperature difference value and the first temperature difference value.

[0118] In this embodiment of the application, the second preset time starts counting from the end of the first preset time. The second preset time is before the target running time. The second running parameters include at least the second space temperature and the second set temperature, and may also include the compressor frequency and the fan speed.

[0119] Optionally, after the air conditioner is started and enters the AI ​​energy-saving mode for a first preset duration, the air conditioner continues to run until the target running time. In this embodiment, it can be set to obtain the air conditioner's operating parameters every 180 seconds after the air conditioner starts and enters the AI ​​energy-saving mode for 300 seconds, until the air conditioner runs for a full 3600 seconds.

[0120] Correspondingly, the operating parameters can be continuously acquired every 180 seconds after the air conditioner has been running for 300 seconds to obtain the second operating parameter information, and the target temperature difference curve f(t) can be determined based on the second operating parameter and the first operating parameter.

[0121] Optionally, the air conditioning control method provided in this application embodiment further includes: obtaining a preset fitting model; using the preset fitting model to determine a first temperature difference curve based on a first space temperature and a first set temperature; determining a second temperature value corresponding to the first temperature difference curve at a second preset time; correcting the attenuation constant and the initial value based on the second temperature value to determine a target attenuation constant and a target initial value; and using the target attenuation constant and the target initial value to determine a target temperature difference curve based on the second space temperature and the second set temperature.

[0122] In this embodiment, the first preset time period can be set to 300s, and the second preset time period can be set to 180s. The first preset time period is the time period corresponding to when the air conditioner is first started. During this time period, the compressor frequency is unstable. Therefore, the first preset time period can be set to a relatively long time. As shown in Figure 4, the temperature difference-time curve diagram shows that after entering the AI ​​energy-saving mode, after the compressor runs for 300s, the operating parameters within these 300s are obtained. The temperature difference curve f(t) is fitted based on the operating parameters within these 300s. Correspondingly, the operating parameters in every 180s (one fitting cycle) after 300s are continuously obtained, and the operating parameters used in the previous fitting and the operating parameters of the current fitting cycle are superimposed for each fitting cycle (used to update the attenuation constant and initial value). The target temperature difference curve f(t) is refitted and updated. The curve fitting regression function model (i.e., the preset fitting model) is: y = q0e -x / a .

[0123] Where y represents the predicted temperature difference ΔT; x represents time t, the number of seconds since the start of AI energy saving; q0 represents the decay constant, which determines the rate of function decay; e represents the base of the natural logarithm, a constant that can take the value 2.71828; a represents the initial value or amplitude, which is the initial value or amplitude of the model at time t=0, used to represent the starting point or initial state of the model at the beginning, and q0 and a will continue to change and be corrected over time based on the attributes reported by the device.

[0124] It should be noted that the operating parameters mainly used to calculate the decay constant and initial value are the space temperature (first space temperature, second space temperature) and the set temperature (first set temperature, second set temperature); the operating parameters may also include compressor frequency, etc., which can be used to determine whether calculation is needed before using the preset fitting model.

[0125] S203: Determine the target operating strategy based on the temperature difference information, wherein the target operating strategy is an operating strategy for energy-saving operation under the temperature difference information.

[0126] In this embodiment of the application, the target operating strategy is an energy-saving operating strategy based on temperature difference information.

[0127] Optionally, the air conditioning control method provided in this application embodiment further includes: when the target temperature difference value is less than the first preset temperature difference value, determining the target operating strategy as reducing the current compressor frequency of the air conditioner by the first preset frequency value; or when the target temperature difference value is less than the first preset temperature difference value and the first temperature difference value is greater than the second preset temperature difference value, determining the target operating strategy as reducing the current compressor frequency of the air conditioner by the first preset frequency value.

[0128] S204: Control the air conditioner to operate according to the target operating strategy.

[0129] Optionally, the compressor frequency can be reduced by 4Hz every 180s if all of the following conditions are met simultaneously: (1) the temperature difference ΔT predicted by the temperature difference curve f(t) at the time of AI energy saving operation up to 3600s is < 0.3℃; (2)

[0130] Optionally, when the conditions are not met, the compressor frequency remains unchanged.

[0131] It should be noted that, That is, if the temperature difference is reduced, the compressor frequency can be further reduced to achieve energy saving.

[0132] Optionally, when only the operating parameters for the first 300 seconds are available, the compressor frequency can be reduced by 4 Hz every 180 seconds if the following condition is met: the temperature difference ΔT predicted by the temperature difference curve f(t) at the time of AI energy saving operation up to 3600 seconds is < 0.3℃.

[0133] In this embodiment of the application, as shown in Figure 5, the overall flow diagram of the air conditioning control method is as follows: After the air conditioner is started and enters the AI ​​energy-saving mode, temperature difference data is fitted according to the operating parameters to obtain the current temperature difference-time curve. Based on the predicted temperature difference-time curve, the temperature difference at the time of reaching the target temperature after a preset time is predicted, and it is determined whether the temperature difference is less than a set threshold and has a cooling trend. If so, the compressor is controlled to reduce the control frequency; otherwise, the current operating state is maintained and operation continues. After reducing the control frequency, it is determined whether this is the last cycle in the AI ​​energy-saving mode. If so, the energy-saving mode control ends; otherwise, temperature difference data fitting continues to achieve energy-saving control.

[0134] Optionally, the air conditioning control method provided in this application embodiment further includes: controlling the air conditioner to exit the energy-saving mode when the cumulative duration exceeds a preset duration; wherein, the cumulative duration starts counting after the air conditioner enters the energy-saving mode.

[0135] In this embodiment, the air conditioner exits AI energy-saving mode when any of the following conditions are met during AI energy-saving mode operation: (1) receiving a notification from the remote control / APP / panel / voice, etc., to switch to non-cooling mode operation (power off, heating, ventilation, dehumidification, automatic, etc.); (2) receiving a notification from the remote control / APP / panel / voice, etc., to exit AI energy-saving mode; (3) the compressor stops (including all shutdowns such as remote control shutdown, temperature-reaching shutdown, fault shutdown, etc.); (4) the compressor runs continuously for 3600 seconds in AI energy-saving mode; 5) Indoor temperature - set temperature > -0.5℃; (6) After the compressor runs continuously for 3000s in AI energy saving mode, the average temperature difference in the 2*180s period before the current running time is > 0.5℃ (after running for 3000s, after multiple frequency reductions, if the cooling effect is not ideal, or even if there is a trend of rising temperature, the frequency cannot be reduced further, and the AI ​​energy saving mode should be exited in time); (7) When using a cloud server, a network outage is detected; (8) Starting from the first reduction of the compressor frequency, the temperature difference does not decrease for 5 consecutive cycles and the indoor temperature is greater than the preset temperature value.

[0136] As one possible implementation, in AI energy-saving mode, the compressor operates at the energy-saving frequency F received from the indoor unit when any of the following conditions are met. AI节能频率 Operation: (1) Receive AI power saving mode flag (AI power saving command); (2) F AI节能频率 Greater than 0.

[0137] Correspondingly, when the compressor exits the AI ​​energy-saving mode under any of the following conditions: (1) no AI energy-saving mode flag bit (AI energy-saving command) is received; (2) the air conditioner switches to non-cooling mode; (3) the compressor runs continuously for 3600 seconds under the AI ​​energy-saving mode.

[0138] It should be noted that in AI energy-saving mode, the control logic that limits the upper frequency limit in the original energy-saving mode is effective, and the control methods such as temperature-reaching shutdown, various protection functions, shielding point control, anti-condensation control, and oil return are all effective. The upper and lower frequency limits in AI energy-saving mode are effective. In addition, the high-frequency start strategy is ineffective in AI energy-saving mode.

[0139] Through the embodiments of this application, the air conditioner operates in an energy-saving mode. Temperature difference information is determined based on the air conditioner's operating parameters. This temperature difference information indicates the difference between the indoor temperature and the set temperature after the air conditioner has operated for a preset time under the specified operating parameters. A target operating strategy is determined based on the temperature difference information, which is an energy-saving operating strategy under the specified temperature difference information. This technical solution of controlling the air conditioner's operation according to the target operating strategy can predict the temperature difference between the indoor temperature and the set temperature after a preset time and further adjust the air conditioner's operating strategy based on the temperature difference, thereby achieving the technical effect of reducing air conditioner operating energy consumption without changing the air conditioner's cooling or heating effect.

[0140] To facilitate better implementation of the air conditioning control method of this application, this application also provides an air conditioning control device based on the above-described air conditioning control method. The meanings of the terms used are the same as in the above-described air conditioning control method, and specific implementation details can be found in the descriptions of the method embodiments.

[0141] Please refer to Figure 6, which is a schematic diagram of the structure of the air conditioning control device provided in an embodiment of this application. The air conditioning control device 600 is applied to an air conditioner, and can be specifically as follows:

[0142] The acquisition module 601 is used to continuously acquire the operating parameters of the air conditioner before the target operating time in response to the air conditioner running in energy-saving mode reaching a first preset time. The target operating time is started from the time when the air conditioner starts running in energy-saving mode, and the first preset time is before the target operating time.

[0143] The processing module 602 is used to determine the temperature difference information after the air conditioner has run for a target time based on the operating parameters. The temperature difference information is used to characterize the temperature difference value of the space where the air conditioner is located after the target time.

[0144] The processing module 602 is also used to determine the target operating strategy based on the temperature difference information, wherein the target operating strategy is an energy-saving operating strategy under the temperature difference information;

[0145] The processing module 602 is also used to control the air conditioner to operate according to the target operating strategy.

[0146] Optionally, in some embodiments of this application, the processing module 602 is used for:

[0147] Obtain the first operating parameters of the air conditioner within a time range corresponding to a first preset time, wherein the first operating parameters include at least:

[0148] First space temperature, first set temperature;

[0149] The first temperature difference curve is determined based on the first operating parameters;

[0150] The target temperature difference value corresponding to the target running time of the first temperature difference curve is determined to be the temperature difference information.

[0151] Optionally, in some embodiments of this application, the processing module 602 is further configured to:

[0152] The second operating parameters of the air conditioner are obtained within the time range corresponding to the second preset time, wherein the second preset time starts counting from the end of the first preset time and is before the target operating time, and the second operating parameters include at least: the second space temperature and the second set temperature;

[0153] The target temperature difference curve is determined based on the first operating parameter and the second operating parameter.

[0154] Determine the target temperature difference value corresponding to the target operating time for the target temperature difference curve;

[0155] Calculate the time difference between the target running time and the second preset time;

[0156] Determine the first temperature difference value of the target temperature difference curve at the time point corresponding to the time difference value;

[0157] The temperature difference information is determined based on the target temperature difference value and the first temperature difference value.

[0158] Optionally, in some embodiments of this application, the processing module 602 is further configured to:

[0159] Obtain a preset fitting model, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: decay constant and initial value.

[0160] Using the attenuation constant and initial value, the first temperature difference curve is determined based on the first space temperature and the first set temperature.

[0161] Optionally, in some embodiments of this application, the processing module 602 is further configured to:

[0162] Obtain a preset fitting model, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: decay constant and initial value.

[0163] A preset fitting model is used to determine the first temperature difference curve based on the first space temperature and the first set temperature.

[0164] Determine the second temperature value corresponding to the first temperature difference curve at the second preset time;

[0165] The attenuation constant and initial value are corrected based on the second temperature value to determine the target attenuation constant and target initial value.

[0166] The target temperature difference curve is determined by using the target attenuation constant and the target initial value, based on the second space temperature and the second set temperature.

[0167] Optionally, in some embodiments of this application, the processing module 602 is further configured to:

[0168] If the target temperature difference is less than the first preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner to the first preset frequency value.

[0169] Optionally, in some embodiments of this application, the processing module 602 is further configured to:

[0170] If the target temperature difference is less than the first preset temperature difference and the first temperature difference is greater than the second preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner to the first preset frequency value.

[0171] In this embodiment, the acquisition module 601 first acquires the operating parameters of the air conditioner before the target operating time in energy-saving mode in response to the air conditioner's operating time in energy-saving mode reaching a first preset time. The target operating time is started from the time the air conditioner starts running in energy-saving mode, and the first preset time is before the target operating time. Then, the processing module 602 determines the temperature difference information after the air conditioner has run to the target operating time based on the operating parameters. The temperature difference information is used to characterize the temperature difference value of the space where the air conditioner is located after the target operating time. Then, the processing module 602 determines the target operating strategy based on the temperature difference information. The target operating strategy is an energy-saving operating strategy under the temperature difference information. Finally, the processing module 602 controls the air conditioner to operate according to the target operating strategy.

[0172] In this embodiment, in response to the air conditioner running in energy-saving mode for a first preset time, the system continuously acquires the operating parameters of the air conditioner before the target operating time. The target operating time is counted from the start of the air conditioner's energy-saving mode, and the first preset time is before the target operating time. Based on the operating parameters, the system determines the temperature difference information after the air conditioner has run for the target operating time. This temperature difference information characterizes the temperature difference value of the space where the air conditioner is located after the target operating time. Based on the temperature difference information, the system determines a target operating strategy, which is an energy-saving operating strategy under the temperature difference information. The technical solution of controlling the air conditioner to operate according to the target operating strategy can predict the temperature difference between the indoor temperature and the set temperature after a preset time, and further adjust the air conditioner operating strategy according to the temperature difference, thereby achieving the technical effect of reducing the air conditioner's operating energy consumption without changing the air conditioner's cooling or heating effect.

[0173] In addition, this application also provides an electronic device, as shown in FIG7, which illustrates a schematic diagram of the structure of the electronic device involved in this application. Specifically:

[0174] The electronic device may include components such as a processor 701 with one or more processing cores, a memory 702 with one or more computer-readable storage media, a power supply 703, and an input unit 704. Those skilled in the art will understand that the electronic device structure shown in FIG7 does not constitute a limitation on the electronic device, and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein:

[0175] The processor 701 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 702, and by calling data stored in the memory 702, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Optionally, the processor 701 may include one or more processing cores; preferably, the processor 701 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 701.

[0176] The memory 702 can be used to store software programs and modules. The processor 701 executes various functional applications and data processing by running the software programs and modules stored in the memory 702. The memory 702 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 702 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 702 may also include a memory controller to provide the processor 701 with access to the memory 702.

[0177] The electronic device also includes a power supply 703 that supplies power to the various components. Preferably, the power supply 703 can be logically connected to the processor 701 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 703 may also include one or more DC or AC power supplies, recharging systems, power equipment debugging circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0178] The electronic device may further include an input unit 704, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical, or trackball signal inputs related to user settings and function control. Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 701 in the electronic device loads the executable files corresponding to the processes of one or more application programs into the memory 702 according to the following instructions, and the processor 701 runs the application programs stored in the memory 702, thereby implementing the steps in any of the air conditioning control methods provided in the embodiments of this application.

[0179] In this embodiment, in response to the air conditioner running in energy-saving mode for a first preset time, the operating parameters of the air conditioner before the target operating time are continuously acquired. The target operating time is started from the time the air conditioner starts running in energy-saving mode, and the first preset time is before the target operating time. Based on the operating parameters, the temperature difference information after the air conditioner runs to the target operating time is determined. The temperature difference information is used to characterize the temperature difference value of the space where the air conditioner is located after the target operating time. Based on the temperature difference information, a target operating strategy is determined. The target operating strategy is an energy-saving operating strategy under the temperature difference information. The technical solution of controlling the air conditioner to operate according to the target operating strategy can predict the temperature difference between the indoor temperature and the set temperature after a preset time, and further adjust the air conditioner operating strategy according to the temperature difference, thereby achieving the technical effect of reducing the air conditioner's operating energy consumption without changing the air conditioner's cooling or heating effect.

[0180] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0181] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0182] Therefore, this application provides a computer-readable storage medium storing a computer program that can be loaded by a processor to execute the steps of any of the air conditioning control methods provided in this application. Specific implementations of the above operations can be found in the preceding embodiments and will not be repeated here.

[0183] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0184] Since the instructions stored in the computer-readable storage medium can execute the steps of any of the air conditioning control methods provided in this application, the beneficial effects that any of the air conditioning control methods provided in this application can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0185] The above provides a detailed description of an air conditioning control method, apparatus, electronic device, and computer-readable storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An air conditioning control method, wherein, Applied to air conditioners, the method includes: In response to the air conditioner running in energy-saving mode for a first preset time, the operating parameters of the air conditioner before the target running time are continuously acquired, wherein the target running time is started from the time the air conditioner starts running in energy-saving mode, and the first preset time is before the target running time; Based on the operating parameters, the temperature difference information after the air conditioner has been running for the target operating time is determined, wherein the temperature difference information is used to characterize the temperature difference value of the space where the air conditioner is located after the target operating time; The target operating strategy is determined based on the temperature difference information, wherein the target operating strategy is an energy-saving operating strategy under the temperature difference information; Control the air conditioner to operate according to the target operating strategy.

2. The method according to claim 1, wherein, The step of determining the temperature difference information after the air conditioner has run for the target operating time based on the operating parameters includes: Obtain the first operating parameters of the air conditioner within the time range corresponding to the first preset time, wherein the first operating parameters include at least: the first space temperature and the first set temperature; The first temperature difference curve is determined based on the first operating parameters; The target temperature difference value corresponding to the target running time of the first temperature difference curve is determined to be the temperature difference information.

3. The method according to claim 2, wherein, The step of determining the temperature difference information after the air conditioner has run to the target running time based on the operating parameters further includes: obtaining the second operating parameters of the air conditioner within a time range corresponding to the second preset time, wherein the second preset time starts counting from the end of the first preset time, the second preset time is before the target running time, and the second operating parameters include at least: a second space temperature and a second set temperature; The target temperature difference curve is determined based on the first operating parameter and the second operating parameter; Determine the target temperature difference value corresponding to the target operating time for the target temperature difference curve; Calculate the time difference between the target running time and the second preset time; Determine the first temperature difference value of the target temperature difference curve at the time point corresponding to the time difference value; determine the temperature difference information based on the target temperature difference value and the first temperature difference value.

4. The method according to claim 2, wherein, Determining the first temperature difference curve based on the first operating parameters includes: A preset fitting model is obtained, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: a decay constant and an initial value. Using the attenuation constant and the initial value, the first temperature difference curve is determined based on the first space temperature and the first set temperature.

5. The method according to claim 3, wherein, The step of determining the target temperature difference curve based on the first operating parameter and the second operating parameter includes: A preset fitting model is obtained, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: a decay constant and an initial value. The first temperature difference curve is determined using a preset fitting model based on the first space temperature and the first set temperature. Determine the second temperature value corresponding to the first temperature difference curve at the second preset time; Based on the second temperature value, the attenuation constant and the initial value are corrected to determine the target attenuation constant and the target initial value; Using the target attenuation constant and the target initial value, the target temperature difference curve is determined based on the second space temperature and the second set temperature.

6. The method according to claim 2, wherein, The step of determining the target operating strategy based on the temperature difference information includes: If the target temperature difference is less than the first preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner to the first preset frequency value.

7. The method according to claim 3, wherein, The step of determining the target operating strategy based on the temperature difference information includes: If the target temperature difference is less than the first preset temperature difference and the first temperature difference is greater than the second preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner by the first preset frequency value.

8. The method according to claim 1, wherein, The operating parameters include one or more of the following: compressor frequency, indoor temperature, set temperature, fan speed, air guide component rotation angle, or indoor area.

9. The method according to claim 1, wherein, The method further includes: When the cumulative duration exceeds the preset duration, the air conditioner will exit the energy-saving mode; the cumulative duration starts counting after the air conditioner enters the energy-saving mode.

10. The method according to claim 5, wherein, After determining the target temperature difference curve based on the first operating parameters and the second operating parameters, the method further includes: The target temperature difference curve is optimized based on the second operating parameters at the next second preset time to obtain the optimized target temperature difference curve.

11. The method according to claim 4, wherein, The preset fitting model is expressed as follows: y=q0e -x / a ; Where y represents the temperature difference; x represents time; q0 represents the decay constant; e represents the base of the natural logarithm; and a represents the initial value or amplitude.

12. An air conditioning control device, wherein, The device, used in air conditioning, includes: The acquisition module is used to continuously acquire the operating parameters of the air conditioner before the target operating time in energy-saving mode in response to the air conditioner running for a first preset time. The target operating time is started from the time when the air conditioner starts running in energy-saving mode, and the first preset time is before the target operating time. The processing module is used to determine the temperature difference information after the air conditioner has been running for the target running time based on the operating parameters, wherein the temperature difference information is used to characterize the temperature difference value of the space where the air conditioner is located after the target running time; The processing module is further configured to determine a target operating strategy based on the temperature difference information, wherein the target operating strategy is an energy-saving operating strategy under the temperature difference information; The processing module is also used to control the air conditioner to operate according to the target operating strategy.

13. The apparatus according to claim 12, wherein, The step of determining the temperature difference information after the air conditioner has run for the target operating time based on the operating parameters includes: Obtain the first operating parameters of the air conditioner within the time range corresponding to the first preset time, wherein the first operating parameters include at least: the first space temperature and the first set temperature; The first temperature difference curve is determined based on the first operating parameters; The target temperature difference value corresponding to the target running time of the first temperature difference curve is determined to be the temperature difference information.

14. The apparatus according to claim 13, wherein, The step of determining the temperature difference information after the air conditioner has run for the target operating time based on the operating parameters further includes: The second operating parameters of the air conditioner are obtained within a time range corresponding to a second preset time, wherein the second preset time starts counting from the end of the first preset time, the second preset time is before the target operating time, and the second operating parameters include at least: a second space temperature and a second set temperature; The target temperature difference curve is determined based on the first operating parameter and the second operating parameter; Determine the target temperature difference value corresponding to the target operating time for the target temperature difference curve; Calculate the time difference between the target running time and the second preset time; Determine the first temperature difference value of the target temperature difference curve at the time point corresponding to the time difference value; determine the temperature difference information based on the target temperature difference value and the first temperature difference value.

15. The apparatus according to claim 13, wherein, Determining the first temperature difference curve based on the first operating parameters includes: A preset fitting model is obtained, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: a decay constant and an initial value. Using the attenuation constant and the initial value, the first temperature difference curve is determined based on the first space temperature and the first set temperature.

16. The apparatus according to claim 14, wherein, The step of determining the target temperature difference curve based on the first operating parameter and the second operating parameter includes: A preset fitting model is obtained, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple sets of sample data, and the preset fitting model includes at least: a decay constant and an initial value. The first temperature difference curve is determined using a preset fitting model based on the first space temperature and the first set temperature. Determine the second temperature value corresponding to the first temperature difference curve at the second preset time; Based on the second temperature value, the attenuation constant and the initial value are corrected to determine the target attenuation constant and the target initial value; Using the target attenuation constant and the target initial value, the target temperature difference curve is determined based on the second space temperature and the second set temperature.

17. The apparatus according to claim 15, wherein, The step of determining the target operating strategy based on the temperature difference information includes: If the target temperature difference is less than the first preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner to the first preset frequency value.

18. The apparatus according to claim 16, wherein, The step of determining the target operating strategy based on the temperature difference information includes: If the target temperature difference is less than the first preset temperature difference and the first temperature difference is greater than the second preset temperature difference, the target operating strategy is determined to be to reduce the current compressor frequency of the air conditioner by the first preset frequency value.

19. An electronic device, wherein, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the air conditioning control method as described in any one of claims 1-11.

20. A computer-readable storage medium, wherein, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the air conditioning control method as described in any one of claims 1-11.

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