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

Abstract

The embodiment of the invention discloses an air conditioner control method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps that in response to the situation that the running time of an air conditioner in an energy-saving mode reaches first preset time, running parameters of the air conditioner before the air conditioner runs to the target running time are continuously obtained, the target running time starts timing when the air conditioner starts to run in the energy-saving mode, and the first preset time is before the target running time; according to the operation parameters, temperature difference information after the air conditioner operates to the target operation time is determined, and the temperature difference information is used for representing the temperature difference value of the space where the air conditioner is located after the target operation time; a target operation strategy is determined according to the temperature difference information, and the target operation strategy is an operation strategy for energy-saving operation under the temperature difference information; and controlling the air conditioner to operate according to the target operation strategy. According to the air conditioner control method, the temperature difference between the indoor temperature after the preset duration and the set temperature can be predicted, and the air conditioner operation strategy is further adjusted according to the temperature difference.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of air conditioning technology, and specifically to an air conditioning control method, device, electronic device, and computer-readable storage medium. Background Art

[0002] With the continuous development of air-conditioning and the continuous improvement of people's living standards, daily electrical appliances are not only satisfied with existing functions. At the moment of rapid development of artificial intelligence technology (AI technology), air-conditioning equipment can be combined with AI technology for algorithm training to realize the function of intelligent frequency reduction and energy saving of air-conditioning; this can not only reduce energy consumption and protect the environment, but also enhance the market competitiveness of products.

[0003] However, the existing intelligent air-conditioning control technology mainly adjusts the working mode according to user habits and environment to avoid ineffective power consumption, and the energy-saving effect is not ideal. Summary of the invention

[0004] The embodiments of the present application provide 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 period of time, and further adjust the air-conditioning operation strategy according to the temperature difference, thereby achieving the technical effect of reducing the energy consumption of the air-conditioning operation without changing the cooling or heating effect of the air-conditioning.

[0005] In a first aspect, an embodiment of the present application provides an air conditioning control method, which is applied to an air conditioner, and the method includes:

[0006] In response to the running time of the air conditioner in the energy-saving mode reaching a first preset time, continuously obtaining the running parameters of the air conditioner until the target running time, wherein the target running time starts from when the air conditioner starts running in the energy-saving mode, and the first preset time is before the target running time;

[0007] Determine, according to the operating parameters, temperature difference information after the air conditioner runs to the target operating time, wherein the temperature difference information is used to represent the temperature difference value of the space where the air conditioner is located after the target operating time;

[0008] Determining a target operation strategy according to the temperature difference information, wherein the target operation strategy is an operation strategy for energy-saving operation under the temperature difference information;

[0009] The air conditioner is controlled to operate according to the target operation strategy.

[0010] Optionally, in some embodiments of the present application, determining, according to the operating parameters, the temperature difference information after the air conditioner runs to the target operating time includes:

[0011] Acquire a first operating parameter of the air conditioner within a time range corresponding to the first preset time, wherein the first operating parameter at least includes: a first space temperature and a first set temperature;

[0012] determining a first temperature difference curve according to the first operating parameter;

[0013] Determine a target temperature difference value corresponding to the target operating time of the first temperature difference curve as the temperature difference information.

[0014] Optionally, in some embodiments of the present application, determining, according to the operating parameters, the temperature difference information after the air conditioner runs to the target operating time, further includes:

[0015] Acquire a second operating parameter of the air conditioner within a time range corresponding to a second preset time, wherein the second preset time starts from the end of the first preset time, the second preset time is before the target operating time, and the second operating parameter at least includes: a second space temperature and a second set temperature;

[0016] Determine a target temperature difference curve according to the first operating parameter and the second operating parameter;

[0017] Determine a target temperature difference value corresponding to the target temperature difference curve at the target operating time;

[0018] Calculating a time difference between the target running time and the second preset time;

[0019] Determine a first temperature difference value of the target temperature difference curve at a time point corresponding to the time difference value;

[0020] The temperature difference information is determined according to the target temperature difference value and the first temperature difference value.

[0021] Optionally, in some embodiments of the present application, determining the first temperature difference curve according to the first operating parameter includes:

[0022] Obtaining a preset fitting model, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple groups of sample data, and the preset fitting model at least includes: a decay constant and an initial value;

[0023] The first temperature difference curve is determined according to the first space temperature and the first set temperature by using the attenuation constant and the initial value.

[0024] Optionally, in some embodiments of the present application, determining a target temperature difference curve according to the first operating parameter and the second operating parameter includes:

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

[0026] Determine the first temperature difference curve according to the first space temperature and the first set temperature using a preset fitting model;

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

[0028] Correct the attenuation constant and the initial value according to the second temperature value to determine a target attenuation constant and a target initial value;

[0029] The target temperature difference curve is determined according to the second space temperature and the second set temperature by using the target attenuation constant and the target initial value.

[0030] Optionally, in some embodiments of the present application, determining a target operation strategy according to the temperature difference information includes:

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

[0032] Optionally, in some embodiments of the present application, determining a target operation strategy according to the temperature difference information includes:

[0033] When the target temperature difference value is smaller than a first preset temperature difference value, and the first temperature difference value is larger than a second preset temperature difference value, the target operation strategy is determined to reduce the current compressor frequency of the air conditioner by a first preset frequency value.

[0034] In a second aspect, an embodiment of the present application further provides an air conditioning control device, which is applied to an air conditioner, and the device includes:

[0035] an acquisition module, configured to, in response to the running time of the air conditioner in the energy-saving mode reaching a first preset time, continuously acquire the running parameters of the air conditioner before the air conditioner runs to a target running time, wherein the target running time starts from when the air conditioner starts running in the energy-saving mode, and the first preset time is before the target running time;

[0036] A processing module, configured to determine, according to the operating parameters, temperature difference information after the air conditioner has been operated to the target operating time, wherein the temperature difference information is used to represent the temperature difference value of the space where the air conditioner is located after the target operating time;

[0037] The processing module is further used to determine a target operation strategy according to the temperature difference information, wherein the target operation strategy is an operation strategy for energy-saving operation under the temperature difference information;

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

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

[0040] Acquire a first operating parameter of the air conditioner within a time range corresponding to the first preset time, wherein the first operating parameter at least includes: a first space temperature and a first set temperature;

[0041] determining a first temperature difference curve according to the first operating parameter;

[0042] Determine a target temperature difference value corresponding to the target operating time of the first temperature difference curve as the temperature difference information.

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

[0044] Acquire a second operating parameter of the air conditioner within a time range corresponding to a second preset time, wherein the second preset time starts from the end of the first preset time, the second preset time is before the target operating time, and the second operating parameter at least includes: a second space temperature and a second set temperature;

[0045] Determine a target temperature difference curve according to the first operating parameter and the second operating parameter;

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

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

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

[0049] The temperature difference information is determined according to the target temperature difference value and the first temperature difference value.

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

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

[0052] The first temperature difference curve is determined according to the first space temperature and the first set temperature by using the attenuation constant and the initial value.

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

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

[0055] Determine the first temperature difference curve according to the first space temperature and the first set temperature using a preset fitting model;

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

[0057] Correct the attenuation constant and the initial value according to the second temperature value to determine a target attenuation constant and a target initial value;

[0058] The target temperature difference curve is determined according to the second space temperature and the second set temperature by using the target attenuation constant and the target initial value.

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

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

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

[0062] When the target temperature difference value is smaller than a first preset temperature difference value, and the first temperature difference value is larger than a second preset temperature difference value, the target operation strategy is determined to reduce the current compressor frequency of the air conditioner by a first preset frequency value.

[0063] In a third aspect, an embodiment of the present application further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps in the above-mentioned air conditioning control method when executed by the processor.

[0064] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above-mentioned air conditioning control method are implemented.

[0065] In a fifth aspect, the embodiments of the present application further provide a computer program product or a computer program, which includes a computer instruction stored in a computer-readable storage medium. The processor of the computer device reads the computer instruction from the computer-readable storage medium, and the processor executes the computer instruction, so that the computer device executes the method provided in various optional implementations described in the embodiments of the present application.

[0066] In summary, the embodiments of the present application continuously obtain the operating parameters of the air conditioner before the target operating time in response to the operating time of the air conditioner in the energy-saving mode reaching the first preset time, wherein the target operating time starts when the air conditioner starts to operate in the energy-saving mode, and the first preset time is before the target operating time; according to the operating parameters, the temperature difference information after the air conditioner runs to the target operating time is determined, and 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; according to the temperature difference information, the target operating strategy is determined, wherein the target operating strategy is an operating strategy for energy-saving operation 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 period of time, and further adjust the air conditioner operating strategy according to the temperature difference, so as to achieve the technical effect of reducing the energy consumption of the air conditioner without changing the cooling or heating effect of the air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the technical solutions in the present application, the drawings required for use 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 work.

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

[0069] Figure 2 is a flow chart of an air conditioning control method provided in an embodiment of the present application;

[0070] Figure 3 It is a schematic diagram of a scenario in which an air conditioner provided in an embodiment of the present application is combined with a cloud server to execute the air conditioner control method;

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

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

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

[0074] Figure 7 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0075] The following will be combined with the drawings in this application to clearly and completely describe the technical solutions in this application. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments in the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0076] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the above features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0077] In this application, the word "exemplary" is used to mean "serving as an example, illustration, or illustration." Any embodiment described in this application as "exemplary" is not necessarily to be construed as being preferred or advantageous over other embodiments. The following description is given to enable any person skilled in the art to implement and use the invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the invention can be implemented without using these specific details. In other instances, well-known structures and processes are not elaborated in detail to avoid obscuring the description of the invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in this application.

[0078] First, the terms involved in this application are explained:

[0079] Internet of Things: IoT refers to connecting various physical devices, sensors, software and other technologies through the Internet so that these devices can communicate with each other and exchange data.

[0080] Compressor frequency: refers to the operating frequency of the air conditioner outdoor unit compressor. The air conditioner outdoor unit compressor is one of the core components of the air conditioning system, responsible for compressing the refrigerant and pushing it to circulate in the system. The unit for measuring the compressor operating frequency is Hertz (Hz).

[0081] AI model: Artificial intelligence model. Refers to a mathematical model trained by machine learning or deep learning algorithms to perform specific tasks, such as classification, regression, image recognition, natural language processing, etc. AI models are the 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: Cloud Computing is a model that provides computing resources and services through the Internet. Cloud computing allows users to access and use computing resources such as servers, storage, databases, networks, software, etc. on demand without having to purchase and maintain these hardware and software infrastructures themselves.

[0083] The embodiments of the present application provide an air conditioning control method, device, electronic device and computer-readable storage medium. The method adopts a method of continuously acquiring the operating parameters of the air conditioning before the target operating time in response to the operating time of the air conditioning in the energy-saving mode reaching the first preset time, wherein the target operating time starts from when the air conditioning starts to operate in the energy-saving mode, and the first preset time is before the target operating time; determining the temperature difference information after the air conditioning operates to the target operating time according to the operating parameters, and the temperature difference information is used to characterize the temperature difference value of the space where the air conditioning is located after the target operating time; determining the target operating strategy according to the temperature difference information, wherein the target operating strategy is the operating strategy for energy-saving operation under the temperature difference information; and controlling the air conditioning to operate according to the target operating strategy.

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

[0085] It should be noted that the order of description of the following embodiments is not intended to limit the priority order of the embodiments.

[0086] See also Figure 1 , Figure 1The scene diagram of the air conditioning control method provided in the embodiment of the present application, 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 may be connected to each other in any manner, including but not limited to signal communication through electronic circuits, communication through wireless signals, and the wireless signals may be computer network communications of the TCP / IP protocol suite (TCP / IP Protocol Suite, TCP / IP), User Datagram Protocol (User Datagram Protocol, UDP), etc. The air conditioner 100 may receive control signals from a remote control or a control panel, and perform a series of air conditioning functions such as cooling, heating, dehumidification, and dust removal. The air conditioner 100 may also receive command information sent by the main control device 200, and the air conditioner 100 may perform a series of operations such as cooling, heating, dehumidification, and dust removal according to the corresponding command information, such as the air conditioning control method in the present application.

[0087] In the embodiment of the present application, the air conditioner 100 includes but is not limited to a wall-mounted air conditioner, a cabinet air conditioner, a window air conditioner, a ceiling air conditioner, an embedded air conditioner, etc.

[0088] Those skilled in the art will understand that Figure 1 The application environment shown in the figure 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 also include Figure 1 More or less air conditioning and conditioning as shown in Figure 1 Only one air conditioner or air conditioner is shown in the figure. The air conditioning control system of the present application may also include one or more air conditioners and air conditioners for executing the air conditioning control method of the present application, which is not limited here.

[0089] In addition, if Figure 1 As shown, the main control device 200 may include any hardware device capable of data processing and command sending, such as a CPU or a single-chip microcomputer embedded inside the air conditioner, and the specific details are not limited here.

[0090] It should be noted that Figure 1 The scene diagram of the air-conditioning control system shown is only an example. The air-conditioning control system and scene described in the embodiment of the present application are intended to more clearly illustrate the technical solution of the embodiment of the present application, and do not constitute a limitation on the technical solution provided in the embodiment of the present application. A person of ordinary skill in the art can know that with the evolution of the air-conditioning control system and the emergence of new business scenarios, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems.

[0091] For details, please refer to Figure 2 , Figure 2: is a schematic diagram of a scenario in which an air conditioner according to an embodiment of the present application executes the air conditioner control method, wherein the specific execution process of the air conditioner executing the air conditioner control method is as follows:

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

[0093] In the embodiment of the present application, the target operating time starts when the air conditioner is turned on in the energy-saving mode, and the first preset time is before the target operating time.

[0094] In the embodiment of the present application, the energy-saving mode is an AI energy-saving mode. The control command of the AI ​​energy-saving mode can be issued by the user (or 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, the various operating parameters of the air conditioner can be collected in real time and the operating parameters are sent to the AI ​​model. The AI ​​model processes the operating parameters and predicts the cooling effect of the air-conditioning working environment after a specified time in the future, so as to adjust and reduce the operating frequency of the compressor in real time according to the prediction results, thereby ultimately reducing the energy consumption of the compressor without affecting the cooling effect, thereby achieving the technical effect of energy saving and power saving.

[0095] It should be noted that the 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 internal and environmental parameters that affect the cooling or heating effect of the air conditioner.

[0096] Optionally, after the air conditioner is started, the air conditioner obtains its own operating parameters and determines whether it has received a control instruction for the AI ​​energy-saving mode operation based on the operating parameters. When the instruction is received, it determines the temperature difference information between the indoor temperature and the set temperature under the current operating parameter information. When the temperature difference is greater than or equal to the temperature difference threshold (for example: 2 degrees Celsius), the operating mode of the air conditioner is adjusted to the energy-saving mode.

[0097] Optionally, when the air conditioner is started, if no control command for the AI ​​energy-saving mode is received, but the temperature difference between the indoor temperature and the set temperature is greater than or equal to the temperature difference threshold (for example: 2 degrees Celsius), it will still operate in the normal operating mode.

[0098] Correspondingly, when the air conditioner is started, if it receives a control instruction 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 operation mode.

[0099] That is, in the embodiment of the present application, the AI ​​energy-saving mode is entered when all of the following conditions are met at the same time: (1) the set cooling mode (cooling mode in non-automatic mode, automatic mode is not necessarily AI energy-saving mode) is received in the form of a remote control / APP / panel / voice, etc.; (2) the set AI energy-saving mode is received in the form of a remote control / APP / panel / voice, etc.; (3) the indoor temperature - 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 actual applications.

[0101] As a possible embodiment, Figure 3 The schematic diagram of the scene in which the air conditioner is combined with the cloud server to execute the air conditioner control method is shown. Combined with the Internet of Things technology, the air conditioner reports the operating parameters to the cloud server in real time when it is connected to the network, for example, once every 4 seconds. After the cloud collects the operating parameters reported by the air conditioner, the AI ​​model is used 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 starts cooling is less than the preset temperature difference value, for example: -0.5 degrees Celsius.

[0102] It should be noted that when the air conditioner is combined with the cloud server to execute the 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 issuing cloud commands.

[0103] In addition, when a network disconnection is detected, a network disconnection information is sent to the indoor unit. For example, a ping packet is sent to the cloud every 40 seconds, and a reply packet is waited for from the cloud. If no reply packet is received for more than 20 seconds, it is determined to be a network disconnection.

[0104] Optionally, taking the air conditioning cooling mode as an example, if the indoor temperature minus the set temperature is less than -0.5 degrees Celsius, subtract 4Hz from the corresponding compressor operating frequency in the air conditioner's most recently reported operating parameters to obtain the adjusted compressor frequency. If the indoor temperature minus the set temperature is greater than -0.5 degrees Celsius, continue to collect operating parameters and use the AI ​​model of the cloud server for prediction. During this process, after each air conditioner reports its operating parameters each time, the AI ​​model will predict the temperature of the air conditioner based on the operating parameters, so as to achieve flexible and intelligent control for each air conditioner in different complex environments, and achieve better and more stable energy-saving and power-saving effects.

[0105] It should be noted that in the embodiment of the present application, the energy consumption of the air conditioner in the first hour of operation is high. After one hour, the indoor temperature drops and the temperature difference is small. The air conditioner may automatically reduce the operating frequency. After one hour, it is not meaningful to continue calculating using the AI ​​model of the cloud server. It is not necessary to continue calculating and it can also avoid wasting cloud computing power. Therefore, in the embodiment of the present application, the target operating time can be set to one hour, and the first preset time can be set to five minutes.

[0106] It should also be noted that the above specific temperature values, temperature difference values ​​and time values ​​are only examples, and the specific temperature, temperature difference, time and other parameters can be set according to the actual operating conditions and are not specifically limited in this application.

[0107] Optionally, when the cloud server calculates that the air conditioner needs to adjust to lower the compressor frequency, it sends instructions to the corresponding air conditioner indoor unit through the Internet of Things technology. The air conditioner indoor unit acts as a data transmission medium to transmit the instructions to the outdoor unit, and the outdoor unit changes the compressor frequency according to the instructions.

[0108] It should be noted that the AI ​​model used in the embodiment of the present application to predict temperature based on the air-conditioning operating parameters can also be performed in the processor inside the air-conditioning. When the processor is used to process the temperature prediction step, there is no need to use Internet of Things technology to communicate with the cloud.

[0109] S202: Determine temperature difference information after the air conditioner runs to a target running time according to the running parameters, where the temperature difference information is used to represent the temperature difference value of the space where the air conditioner is located after the target running time.

[0110] In the embodiment of the present 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 period of time under the operating parameter information.

[0111] In an embodiment of the present application, after the operating time of the air conditioner in the energy-saving mode reaches a first preset time, optionally, the air conditioning control method provided in the embodiment of the present application also includes: obtaining a first operating parameter of the air conditioner within a time range corresponding to the first preset time; determining a first temperature difference curve based on the first operating parameter; and determining a target temperature difference value corresponding to the target operating time of the first temperature difference curve as temperature difference information.

[0112] In the embodiment of the present application, the first operating parameter includes at least: the first space temperature, the first set temperature, etc., and may also include the compressor frequency, the fan speed, etc. The temperature difference information is used to represent the temperature difference value of the space where the air conditioner is located after the target operating time.

[0113] In the embodiment of the present application, the first temperature difference curve is used to characterize the temperature difference change between the indoor temperature and the set temperature within the first preset time.

[0114] Optionally, after the air conditioner is started and enters the AI ​​energy-saving mode, the operating parameter information is sent to the cloud server or the air conditioner processor. The AI ​​model in the cloud server or the 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 operating frequency of the compressor.

[0115] Optionally, the air conditioning control method provided in the embodiment of the present application further includes: obtaining a preset fitting model, wherein: an attenuation constant and an initial value are used to determine a first temperature difference curve according to the first space temperature and the first set temperature.

[0116] In an embodiment of the present application, the preset fitting model is obtained by performing multiple machine learning trainings based on multiple groups of sample data, and the preset fitting model at least includes: a decay constant and an initial value.

[0117] Specifically, taking the air-conditioning cooling mode as an example, energy saving is achieved by controlling the operating frequency of the compressor. After the air-conditioning is started and enters the AI ​​energy-saving mode, the operating data of the compressor within the first preset time period is obtained from the operating parameters, and the first temperature difference curve f(t) is obtained by fitting based on the operating data within the first preset time period and the preset fitting model.

[0118] In an embodiment of the present application, after the operating time of the air conditioner in the energy-saving mode reaches a first preset time, optionally, the air conditioning control method provided in the embodiment of the present application also includes: obtaining a second operating parameter of the air conditioner within a time range corresponding to the second preset time, and determining a target temperature difference curve according to the first operating parameter and the second operating parameter; 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 a time point corresponding to the time difference; and determining temperature difference information according to the target temperature difference value and the first temperature difference value.

[0119] In an embodiment of the present application, the second preset time starts from the end of the first preset time, and the second preset time is before the target operating time. The second operating parameters include at least: the second space temperature, the second set temperature, etc., and may also include the compressor frequency, the fan speed, etc.

[0120] Optionally, after the air conditioner is started and enters the AI ​​energy-saving mode and runs for the first preset time, the air conditioner continues to run until the target running time. In an embodiment of the present application, it can be set that after the air conditioner is started and enters the AI ​​energy-saving mode and runs for 300 seconds, the operating parameters of the air conditioner are obtained every 180 seconds after 300 seconds until the air conditioner runs for 3600 seconds.

[0121] Accordingly, after the air conditioner has been running for 300 seconds, the operating parameters in every 180 seconds can be continuously acquired to obtain second operating parameter information, and the target temperature difference curve f(t) can be determined according to the second operating parameters and the first operating parameters.

[0122] Optionally, the air conditioning control method provided in the embodiment of the present application also includes: obtaining a preset fitting model; using the preset fitting model to determine a first temperature difference curve according to the first space temperature and the 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 according to the second temperature value to determine a target attenuation constant and a target initial value; using the target attenuation constant and the target initial value to determine the target temperature difference curve according to the second space temperature and the second set temperature.

[0123] In the embodiment of the present application, 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 just started. The compressor frequency is unstable during this time period. Therefore, the first preset time period can be set to a longer time. Figure 4 The temperature difference-time curve diagram shown in FIG. 1 shows that after entering the AI ​​energy-saving mode, when the compressor runs for 300 seconds, the operating parameters within the 300 seconds are obtained, and the temperature difference curve f(t) is fitted according to the operating parameters within the 300 seconds. Accordingly, the operating parameters in every 180 seconds (a fitting cycle) after 300 seconds 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 the initial value), and 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 .

[0124] Among them, y represents the predicted temperature difference ΔT; x represents time t, which is the number of seconds starting from the entry into AI energy saving; q0 represents the attenuation constant, which determines the rate at which the function decays; e represents the base of the natural logarithm, which is a constant and can take the value of 2.71828; a represents the initial value or amplitude, which is the initial value or amplitude of the model at time t=0, and is used to represent the starting point or initial state of the model at the beginning, and q0 and a will change and be corrected over time according to the properties reported by the device.

[0125] It should be noted that the operating parameters mainly used to calculate the attenuation constant and the 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 the compressor frequency, etc., which can be used to determine whether calculation is required before using the preset fitting model.

[0126] S203: Determine a target operation strategy according to the temperature difference information, wherein the target operation strategy is an operation strategy for energy-saving operation under the temperature difference information.

[0127] In the embodiment of the present application, the target operation strategy is an operation strategy for energy-saving operation under temperature difference information.

[0128] Optionally, the air conditioning control method provided in the embodiment of the present application also includes: when the target temperature difference value is less than the first preset temperature difference value, determining the target operating strategy is to reduce 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 is to reduce the current compressor frequency of the air conditioner by the first preset frequency value.

[0129] S204: Control the air conditioner to operate according to the target operation strategy.

[0130] Optionally, the compressor can be controlled to reduce the frequency by 4 Hz every 180 seconds if all of the following conditions are met at the same time: (1) the temperature difference ΔT predicted by the temperature difference curve f(t) at the AI ​​energy-saving operation time of 3600 seconds is less than 0.3°C; (2) the average temperature difference - Average temperature difference

[0131] Optionally, when the condition is not met, the compressor frequency remains unchanged.

[0132] It should be noted that the average temperature difference - Average temperature difference That is, as the temperature difference decreases, the compressor frequency can be further reduced to achieve energy saving.

[0133] Optionally, when only the first 300 seconds of operating parameters are available, the compressor can be controlled to reduce the frequency by 4 Hz every 180 seconds when the following conditions are met: the temperature difference ΔT predicted by the temperature difference curve f(t) when the AI ​​energy-saving operation reaches 3600 seconds is less than 0.3°C.

[0134] In the present application embodiment, Figure 5 The overall flow chart of the air conditioning control method shown in the figure shows that after the air conditioner is started and enters the AI ​​energy-saving mode, the temperature difference data is fitted according to the operating parameters to obtain the current temperature difference-time curve. The temperature difference at the time of reaching the temperature after the preset time is predicted according to the predicted temperature difference-time curve, and it is judged whether the temperature difference is less than the set threshold and has a cooling trend. If so, the compressor is controlled to lower the control frequency. If not, the current operating state is maintained and continued to operate. After lowering the control frequency, it is judged whether it is the last cycle in the AI ​​energy-saving mode. If so, the energy-saving mode control is ended. If not, the temperature difference data fitting is continued to achieve energy-saving control.

[0135] Optionally, the air conditioning control method provided in the embodiment of the present application further includes: when the accumulated time exceeds a preset time, controlling the air conditioning to exit the energy-saving mode; wherein the accumulated time starts counting after the air conditioning enters the energy-saving mode.

[0136] In the embodiment of the present application, when the air conditioner is in the AI ​​energy-saving mode, if any of the following conditions is met, the air conditioner will exit the AI ​​energy-saving mode: (1) a command to switch to a non-cooling mode (off, heating, air supply, dehumidification, automatic, etc.) is received in the form of a remote control / APP / panel / voice; (2) a setting to exit the AI ​​energy-saving mode is received in the form of a remote control / APP / panel / voice; (3) the compressor is shut down (including all shutdowns such as remote control shutdown, temperature shutdown, fault shutdown, etc.); (4) the compressor runs continuously for 3600 seconds in the 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* period before the current running time is >0.5℃ (after running for 3000s, it has undergone multiple frequency reductions. If the cooling effect is not ideal or there is even a trend of heating, the frequency reduction cannot be continued and the AI ​​energy-saving mode should be exited in time); (7) When using a cloud server, a network disconnection is detected; (8) The timing starts from the first reduction in the compressor frequency. The temperature difference does not decrease for 5 consecutive cycles and the indoor temperature is greater than the preset temperature value.

[0137] As a possible embodiment, in the AI ​​energy-saving mode, when any of the following conditions is met, the compressor receives the energy-saving frequency F sent by the indoor unit. AI节能频率 Operation: (1) Receive the AI ​​energy-saving mode flag (AI energy-saving instruction); (2) F AI节能频率 Greater than 0.

[0138] Accordingly, when the AI ​​energy-saving mode is in operation, the compressor exits the AI ​​energy-saving mode when any of the following conditions is met: (1) the AI ​​energy-saving mode flag (AI energy-saving instruction) is not received; (2) the air conditioner is switched to non-cooling mode; (3) the compressor runs continuously for 3600 seconds in the AI ​​energy-saving mode.

[0139] It should be noted that in the AI ​​energy-saving mode, the control logic of limiting the upper frequency limit in the original energy-saving mode is valid, and control methods such as temperature shutdown, various protection functions, shielding point control, anti-condensation control, and oil return are all valid. The upper and lower frequency limits in the AI ​​energy-saving mode are valid; in addition, the high-frequency startup strategy in the AI ​​energy-saving mode is invalid.

[0140] Through the embodiments of the present application, in response to the operating mode of the air conditioner being the energy-saving mode, temperature difference information is determined according to the operating parameter information of the air conditioner, wherein 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 period of time under the operating parameter information; a target operating strategy is determined according to the temperature difference information, wherein the target operating strategy is an operating strategy for energy-saving operation under the temperature difference information; a technical solution for controlling the operation of the air conditioner according to the target operating strategy can predict the temperature difference between the indoor temperature and the set temperature after a preset period of time, and further adjust the air conditioner operating strategy according to the temperature difference, thereby achieving the technical effect of reducing the energy consumption of the air conditioner without changing the cooling or heating effect of the air conditioner.

[0141] In order to better implement the air conditioning control method of the present application, the present application also provides an air conditioning control device based on the air conditioning control method, wherein the meanings of the terms are the same as those in the air conditioning control method, and the specific implementation details can refer to the description in the method embodiment.

[0142] See also Figure 6 , Figure 6 : is a schematic diagram of the structure of an air conditioning control device provided in an embodiment of the present application, wherein the air conditioning control device 600 is applied to an air conditioner, and specifically can be as follows:

[0143] An acquisition module 601 is used for continuously acquiring the operation parameters of the air conditioner until a target operation time in response to the operation time of the air conditioner in the energy-saving mode reaching a first preset time, wherein the target operation time starts from when the air conditioner is turned on to operate in the energy-saving mode, and the first preset time is before the target operation time;

[0144] Processing module 602, for determining temperature difference information after the air conditioner runs to a target running time according to the operating parameters, wherein the temperature difference information is used to represent the temperature difference value of the space where the air conditioner is located after the target running time;

[0145] The processing module 602 is further used to determine a target operation strategy according to the temperature difference information, wherein the target operation strategy is an operation strategy for energy-saving operation under the temperature difference information;

[0146] The processing module 602 is also used to control the air conditioner to operate according to the target operation strategy.

[0147] Optionally, in some embodiments of the present application, the processing module 602 is used to:

[0148] Acquire a first operating parameter of the air conditioner within a time range corresponding to a first preset time, wherein the first operating parameter at least includes: a first space temperature and a first set temperature;

[0149] Determining a first temperature difference curve according to a first operating parameter;

[0150] A target temperature difference value corresponding to the first temperature difference curve at the target operating time is determined as the temperature difference information.

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

[0152] Acquire a second operating parameter of the air conditioner within a time range corresponding to a second preset time, wherein the second preset time starts from the end of the first preset time, the second preset time is before the target operating time, and the second operating parameter at least includes: a second space temperature and a second set temperature;

[0153] Determining a target temperature difference curve according to the first operating parameter and the second operating parameter;

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

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

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

[0157] The temperature difference information is determined according to the target temperature difference value and the first temperature difference value.

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

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

[0160] The attenuation constant and the initial value are used to determine a first temperature difference curve according to the first space temperature and the first set temperature.

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

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

[0163] Determine a first temperature difference curve according to the first space temperature and the first set temperature using a preset fitting model;

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

[0165] Correcting the attenuation constant and the initial value according to the second temperature value to determine a target attenuation constant and a target initial value;

[0166] The target attenuation constant and the target initial value are used to determine the target temperature difference curve according to the second space temperature and the second set temperature.

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

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

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

[0170] 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, the target operation strategy is determined to reduce the current compressor frequency of the air conditioner by the first preset frequency value.

[0171] In the embodiment of the present application, the acquisition module 601 first responds to the operating time of the air conditioner in the energy-saving mode reaching the first preset time, and continuously acquires the operating parameters of the air conditioner before the target operating time, wherein the target operating time starts when the air conditioner starts to run in the 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 runs to the target operating time according to 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 operating time. Then, the processing module 602 determines the target operating strategy according to the temperature difference information, wherein the target operating strategy is an operating strategy for energy-saving operation under the temperature difference information. Finally, the processing module 602 controls the air conditioner to operate according to the target operating strategy.

[0172] Among them, the embodiment of the present application continuously obtains the operating parameters of the air conditioner before it runs to a target operating time in response to the operating time of the air conditioner in the energy-saving mode reaching a first preset time, wherein the target operating time starts when the air conditioner starts running in the energy-saving mode, and the first preset time is before the target operating time; according to the operating parameters, the temperature difference information after the air conditioner runs to the target operating time is determined, and 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; according to the temperature difference information, a target operating strategy is determined, wherein the target operating strategy is an operating strategy for energy-saving operation 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 period of time, and further adjust the air conditioner operating strategy according to the temperature difference, thereby achieving the technical effect of reducing the energy consumption of the air conditioner without changing the cooling or heating effect of the air conditioner.

[0173] In addition, the present application also provides an electronic device, such as Figure 7 As shown, it shows 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 appreciate that Figure 7 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0175] The processor 701 is the control center of the electronic device, which uses various interfaces and lines to connect various parts of the entire electronic device, and executes various functions of the electronic device and processes data by running or executing software programs and / or modules stored in the memory 702, and calling data stored in the memory 702, so as to monitor the electronic device as a whole. 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 processes the operating system, user interface and application programs, etc., and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned 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, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an 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 a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. 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 for supplying power to each component. Preferably, the power supply 703 can be logically connected to the processor 701 through a power management system, so as to manage charging, discharging, and power consumption through the power management system. The power supply 703 can also include any components such as one or more DC or AC power supplies, recharging systems, power supply device debugging circuits, power converters or inverters, and power status indicators.

[0178] The electronic device may further include an input unit 704, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0179] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail herein. Specifically in this embodiment, the processor 701 in the electronic device will load 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 will run the application programs stored in the memory 702, thereby implementing the steps in any one of the air conditioning control methods provided in the embodiments of the present application.

[0180] In an embodiment of the present application, in response to the operating time of the air conditioner in the energy-saving mode reaching a first preset time, the operating parameters of the air conditioner before the target operating time are continuously obtained, wherein the target operating time starts when the air conditioner starts to operate in the energy-saving mode, and the first preset time is before the target operating time; according to the operating parameters, the temperature difference information after the air conditioner runs to the target operating time is determined, and 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; according to the temperature difference information, the target operating strategy is determined, wherein the target operating strategy is an operating strategy for energy-saving operation 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 period of time, and further adjust the air conditioner operating strategy according to the temperature difference, thereby achieving the technical effect of reducing the energy consumption of the air conditioner without changing the cooling or heating effect of the air conditioner.

[0181] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0182] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0183] To this end, the present application provides a computer-readable storage medium, on which a computer program is stored. The computer program can be loaded by a processor to execute the steps in any air conditioning control method provided in the present application.

[0184] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0185] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0186] Since the instructions stored in the computer-readable storage medium can execute the steps in any air-conditioning control method provided in the present application, the beneficial effects that can be achieved by any air-conditioning control method provided in the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0187] The above is a detailed introduction to an air conditioning control method, device, electronic device and computer-readable storage medium provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. An air conditioning control method, characterized in that: Applied to air conditioning, the method comprises: In response to the running time of the air conditioner in the energy-saving mode reaching a first preset time, continuously obtaining the running parameters of the air conditioner until the target running time, wherein the target running time starts from when the air conditioner starts running in the energy-saving mode, and the first preset time is before the target running time; Determine, according to the operating parameters, temperature difference information after the air conditioner runs to the target operating time, wherein the temperature difference information is used to represent the temperature difference value of the space where the air conditioner is located after the target operating time; Determining a target operation strategy according to the temperature difference information, wherein the target operation strategy is an operation strategy for energy-saving operation under the temperature difference information; The air conditioner is controlled to operate according to the target operation strategy.

2. The method according to claim 1, characterized in that The step of determining, according to the operating parameters, temperature difference information after the air conditioner has been operated to the target operating time includes: Acquire a first operating parameter of the air conditioner within a time range corresponding to the first preset time, wherein the first operating parameter at least includes: a first space temperature and a first set temperature; determining a first temperature difference curve according to the first operating parameter; Determine a target temperature difference value corresponding to the target operating time of the first temperature difference curve as the temperature difference information.

3. The method according to claim 2, characterized in that The step of determining the temperature difference information after the air conditioner runs to the target running time according to the running parameters further includes: Acquire a second operating parameter of the air conditioner within a time range corresponding to a second preset time, wherein the second preset time starts from the end of the first preset time, the second preset time is before the target operating time, and the second operating parameter at least includes: a second space temperature and a second set temperature; Determine a target temperature difference curve according to the first operating parameter and the second operating parameter; Determine a target temperature difference value corresponding to the target temperature difference curve at the target operating time; Calculating a time difference between the target running time and the second preset time; Determine a first temperature difference value of the target temperature difference curve at a time point corresponding to the time difference value; The temperature difference information is determined according to the target temperature difference value and the first temperature difference value.

4. The method according to claim 2, characterized in that: The determining a first temperature difference curve according to the first operating parameter includes: Obtaining a preset fitting model, wherein the preset fitting model is obtained by performing multiple machine learning trainings based on multiple groups of sample data, and the preset fitting model at least includes: a decay constant and an initial value; The first temperature difference curve is determined according to the first space temperature and the first set temperature by using the attenuation constant and the initial value.

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

6. The method according to claim 2, characterized in that Determining a target operation strategy according to the temperature difference information includes: When the target temperature difference value is less than the first preset temperature difference value, the target operation strategy is determined to reduce the current compressor frequency of the air conditioner by the first preset frequency value.

7. The method according to claim 3, characterized in that Determining a target operation strategy according to the temperature difference information includes: When the target temperature difference value is smaller than a first preset temperature difference value, and the first temperature difference value is larger than a second preset temperature difference value, the target operation strategy is determined to reduce the current compressor frequency of the air conditioner by a first preset frequency value.

8. An air conditioning control device, characterized in that: Applied to air conditioning, the device comprises: an acquisition module, configured to, in response to the running time of the air conditioner in the energy-saving mode reaching a first preset time, continuously acquire the running parameters of the air conditioner before the air conditioner runs to a target running time, wherein the target running time starts from when the air conditioner starts running in the energy-saving mode, and the first preset time is before the target running time; A processing module, configured to determine, according to the operating parameters, temperature difference information after the air conditioner has been operated to the target operating time, wherein the temperature difference information is used to represent the temperature difference value of the space where the air conditioner is located after the target operating time; The processing module is further used to determine a target operation strategy according to the temperature difference information, wherein the target operation strategy is an operation strategy for energy-saving operation under the temperature difference information; The processing module is also used for controlling the air conditioner to operate according to the target operation strategy.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the air conditioning control method as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the air conditioning control method according to any one of claims 1 to 7 are implemented.

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