Ai hosting function control method, control device, and computer storage medium

Abstract

The present application relates to the technical field of air conditioning device control, and discloses an AI hosting function control method, a control device, and a computer storage medium. The AI hosting function control method comprises: upon detection of a control requirement for a target device, acquiring an expected control deviation of the target device when undergoing AI hosting; and on the basis of the expected control deviation, determining whether to enable an AI hosting function.

Description

Control method, control device and computer storage medium for AI hosting function

[0001] This application claims priority to Chinese patent application No. 202410237387.6 filed on March 1, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] The present application relates to the field of air conditioning equipment control technology, and in particular to a control method, control equipment and computer storage medium for AI hosting functions. Background Art

[0003] AI (Artificial Intelligence) hosting, as an automated control function, has been applied to air conditioning equipment.

[0004] After the AI ​​hosting function is opened to air-conditioning equipment, if the AI ​​hosting has a good control effect on the air-conditioning equipment, it can make the use of the air-conditioning equipment smarter, more convenient and more personalized. However, if the AI ​​hosting has a poor control effect on the air-conditioning equipment, it will affect the energy saving, comfort and health of the use of the air-conditioning equipment.

[0005] Therefore, how to improve the control effect of air-conditioning equipment after the AI ​​hosting function is opened, and avoid the problems of poor energy saving, poor comfort and poor health of air-conditioning equipment, is a problem that needs to be solved urgently. Technical issues

[0006] The main purpose of this application is to provide a control method, device, control equipment and computer storage medium for AI hosting function, aiming to improve the control effect of air conditioning equipment after the AI ​​hosting function is opened, so as to avoid the problems of poor energy saving, poor comfort and poor health of air conditioning equipment. Technical Solutions

[0007] To achieve the above objectives, the present application provides a method for controlling an AI hosting function, the method comprising:

[0008] When the control requirements of the target device are detected, the expected control deviation of the target device during AI hosting is obtained;

[0009] Based on the expected control deviation, determine whether to open the AI ​​hosting function.

[0010] In one embodiment, the method for controlling the AI ​​hosting function further includes:

[0011] During the operation of the target device, the expected control deviation of the target device when performing AI hosting is calculated and stored.

[0012] In one embodiment, the method for controlling the AI ​​hosting function further includes:

[0013] During the operation of the target device, an average expected control deviation of the target device when performing AI hosting within a preset time before the current operation is determined and stored as the expected control deviation of the target device when performing AI hosting.

[0014] In one embodiment, during the operation of the target device, the step of calculating the expected control deviation of the target device when performing AI hosting includes:

[0015] Obtaining a first control parameter of a target device within a target time period;

[0016] Obtaining a second control parameter of the target device within the target time period by the AI ​​hosting;

[0017] The expected control deviation is obtained by calculation according to the first control parameter and the second control parameter.

[0018] In one embodiment, the method for controlling the AI ​​hosting function further includes:

[0019] Periodically acquiring a first control parameter and a second control parameter;

[0020] Calculating an expected control deviation for each cycle based on the corresponding first control parameter and second control parameter;

[0021] Based on the expected control deviation of each cycle, the average expected control deviation is calculated to determine whether to open the AI ​​hosting function based on the average expected control deviation.

[0022] In one embodiment, when the control demand of the target device is monitored, the step of obtaining the expected control deviation of the target device when performing AI hosting includes:

[0023] When a power-on command of the target device is received or the control interface of the target device is opened, the expected control deviation of the target device during AI hosting is obtained.

[0024] In one embodiment, the step of determining whether to enable the AI ​​hosting function based on the expected control deviation includes:

[0025] When the expected control deviation is less than or equal to the preset deviation threshold, an entry for the AI ​​hosting function is added to the control interface;

[0026] When the expected control deviation is greater than the preset deviation threshold, the entry to the AI ​​hosting function is deleted in the control interface.

[0027] In one embodiment, after the step of determining whether to enable the AI ​​hosting function based on the expected control deviation, the method further includes:

[0028] When receiving an instruction to enable the AI ​​hosting function, the AI ​​hosting function is started and the target device is controlled to operate according to the recommended parameters of the AI ​​hosting.

[0029] The present application also provides a control device for an AI hosting function, the control device for the AI ​​hosting function comprising:

[0030] The acquisition module is used to obtain the expected control deviation of the target device when the control demand of the target device is detected;

[0031] A determination module is used to determine whether to open the AI ​​hosting function based on the expected control deviation.

[0032] The present application also provides a control device, which is a physical device. The control device includes a memory, a processor, and a control program for the AI ​​hosting function stored in the memory and executable on the processor. When the control program is executed by the processor, the steps of the control method for the AI ​​hosting function as described above are implemented.

[0033] The present application also provides a computer storage medium, which stores a control program for an AI hosting function that can be run on a processor, and the running program is called by the processor to implement the steps of the control method of the AI ​​hosting function as described above.

[0034] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the control method of the AI ​​hosting function as described above. Beneficial effects

[0035] The present application provides a control method for an AI hosting function. When the present application monitors the control requirements of a target device, it determines whether to open the AI ​​hosting function by obtaining the expected control deviation of the target device when performing AI hosting. Since the expected control deviation of the target device when performing AI hosting can reflect the control effect of AI hosting on the target device, the conditions for opening the AI ​​hosting function of the target device are limited by the expected control deviation. The target device can open the AI ​​hosting function only when the control effect of AI hosting is good, and will not open the AI ​​hosting function when the control effect of AI hosting is poor. Therefore, the control effect of the air-conditioning device after the AI ​​hosting function is opened can be improved, so as to avoid the impact on the target device caused by still opening the AI ​​hosting function when the control effect of AI hosting is poor, thereby ensuring that the energy saving, comfort and health of the air-conditioning device will not be affected by AI hosting. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0038] FIG1 is a flow chart of a first embodiment of a method for controlling an AI hosting function of the present application;

[0039] FIG2 is a schematic diagram of a virtual button displaying “AI Hosting” in area A of a control interface according to the first embodiment of the present application;

[0040] FIG3 is a schematic diagram of canceling the display of the virtual button “AI Hosting” in area A of the control interface according to the first embodiment of the present application;

[0041] FIG4 is a line graph of the first temperature and the second temperature of the target device at different time points provided by the third embodiment of the present application;

[0042] FIG5 is a schematic diagram of a simplified flow chart of a control method for an AI hosting function;

[0043] FIG6 is a schematic diagram of the module structure of the control device for the AI ​​hosting function according to an embodiment of the present application;

[0044] FIG7 is a schematic diagram of the device structure of the hardware operating environment involved in the control method of the AI ​​hosting function in an embodiment of the present application;

[0045] FIG8 is a flow chart illustrating an embodiment of a method for controlling an AI hosting function of the present application;

[0046] FIG9 is a flow chart illustrating an embodiment of a method for controlling an AI hosting function of the present application;

[0047] FIG10 is a flow chart illustrating an embodiment of a method for controlling the AI ​​hosting function of the present application.

[0048] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Modes for Carrying Out the Invention

[0049] To make the above-mentioned purposes, features, and advantages of the present application more clearly understood, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making any creative work are within the scope of protection of this application.

[0050] AI (Artificial Intelligence) hosting, as an automated control function, has been applied to air conditioning equipment.

[0051] After the AI ​​hosting function is opened to air-conditioning equipment, if the AI ​​hosting has a good control effect on the air-conditioning equipment, it can make the use of the air-conditioning equipment smarter, more convenient and more personalized. However, if the AI ​​hosting has a poor control effect on the air-conditioning equipment, it will affect the energy saving, comfort and health of the use of the air-conditioning equipment.

[0052] Therefore, how to improve the control effect of air-conditioning equipment after the AI ​​hosting function is opened, and avoid the problems of poor energy saving, poor comfort and poor health of air-conditioning equipment, is a problem that needs to be solved urgently.

[0053] Based on this, the present application proposes a control method for the AI ​​hosting function of the first embodiment, referring to FIG1 . The control method for the AI ​​hosting function includes the following steps:

[0054] Step S10: When the control demand of the target device is monitored, the expected control deviation of the target device during AI hosting is obtained;

[0055] In this embodiment, the control device may be the execution subject of the control method for the AI ​​hosting function. The control device may be an air conditioning device such as an air conditioner, or a control terminal for controlling the air conditioner, and this embodiment does not specifically limit this. The air conditioning device refers to a device that processes the air within the workspace to maintain a set temperature and humidity within the workspace and to control the dust and harmful gas content within the workspace. The air conditioning device may be an air conditioner, an air dehumidifier, an air humidifier, etc., and this embodiment does not specifically limit this.

[0056] It should be noted that the control demand indicates the need to control the target device. The target device is an air conditioning device with AI hosting capabilities. In other embodiments, the target device can also be a television, refrigerator, electric fan, or other controllable device with AI hosting capabilities. This embodiment does not specifically limit this.

[0057] In addition, it should be noted that the expected control deviation can refer to the deviation between the control parameters of the target device when AI hosting is performed and the control parameters when AI hosting is not performed, or it can refer to the deviation between the control parameters of the target device when AI hosting is performed and the theoretical control parameters recommended by the control parameter model. This embodiment does not specifically limit this. The expected control deviation can reflect the control effect of AI hosting on the target device. Specifically, it can be expressed as follows: the larger the expected control deviation, the worse the control effect of AI hosting on the target device, and the smaller the expected control deviation, the better the control effect of AI hosting on the target device.

[0058] When obtaining the expected control deviation of the target device during AI hosting, it can be obtained from the local device (ie, the control device) or from other devices connected to the local device. This embodiment does not specifically limit this.

[0059] In one embodiment, step S10 may specifically include: receiving a power-on instruction of the target device, and obtaining an expected control deviation of the target device when performing AI hosting.

[0060] It should be noted that the power-on instruction is used to indicate that the target device needs to be turned on for corresponding control.

[0061] It is understandable that if a power-on command of the target device is received, it means that the target device needs to be turned on for corresponding control at this time, and it is necessary to obtain the expected control deviation of the target device when performing AI hosting, so as to determine whether to open the AI ​​hosting function through the obtained expected control deviation.

[0062] In another embodiment, step S10 may specifically include: when the control interface of the target device is opened, obtaining an expected control deviation of the target device when performing AI hosting.

[0063] It is understandable that if the control interface of the target device is opened, it means that the control interface needs to be used to control the target device accordingly. Then, it is necessary to obtain the expected control deviation of the target device when AI hosting is performed, so as to determine whether to open the AI ​​hosting function through the obtained expected control deviation.

[0064] The above are only two implementation methods of step S10 provided in this embodiment, and this embodiment does not specifically limit the specific implementation method of step S10.

[0065] Step S20: Determine whether to enable the AI ​​hosting function based on the expected control deviation.

[0066] In one possible implementation, referring to FIG8 , step S20 may include:

[0067] Step S21: When the expected control deviation is less than or equal to the preset deviation threshold, an entry for the AI ​​hosting function is added to the control interface;

[0068] Step S22: When the expected control deviation is greater than the preset deviation threshold, the entry of the AI ​​hosting function is deleted in the control interface.

[0069] It should be noted that the preset deviation threshold may be a default value or a value that changes according to the actual operation of the target device, and this embodiment does not specifically limit this.

[0070] It can be understood that when the expected control deviation is less than or equal to the preset deviation threshold, it means that the control parameters of the target device during AI hosting have a smaller deviation than the control parameters when not performing AI hosting or the theoretical control parameters recommended by the control parameter model, and the control effect of AI hosting on the target device is better, so that the target device can open the AI ​​hosting function, and then an entry for the AI ​​hosting function is added to the control interface. Specifically, please refer to the schematic diagram of the virtual button "AI hosting" displayed in area A of the control interface shown in Figure 2; when the expected control deviation is greater than the preset deviation threshold, it means that the control parameters of the target device during AI hosting have a larger deviation than the control parameters when not performing AI hosting or the theoretical control parameters recommended by the control parameter model, and the control effect of AI hosting on the target device is poor, so that the target device cannot open the AI ​​hosting function, and then the entry for the AI ​​hosting function is deleted from the control interface. Specifically, please refer to the schematic diagram of canceling the display of the virtual button "AI hosting" in area A of the control interface shown in Figure 3. As can be seen from Figures 2 and 3, the "AI Hosting" virtual button (i.e., the entrance to add the AI ​​Hosting function) will be displayed on the control interface only after the AI ​​Hosting function is enabled. When the AI ​​Hosting function is not enabled, the "AI Hosting" virtual button (i.e., the entrance to delete the AI ​​Hosting function) will not be displayed on the control interface, so the user will not be able to see or operate the "AI Hosting" virtual button.

[0071] This embodiment provides a control method for an AI hosting function. When monitoring the control needs of a target device, this embodiment determines whether to open the AI ​​hosting function by obtaining the expected control deviation of the target device when performing AI hosting. Since the expected control deviation of the target device when performing AI hosting can reflect the control effect of AI hosting on the target device, the conditions for opening the AI ​​hosting function of the target device are limited by the expected control deviation. The target device can open the AI ​​hosting function only when the control effect of AI hosting is good, and will not open the AI ​​hosting function when the control effect of AI hosting is poor. Therefore, the control effect of the air-conditioning device after the AI ​​hosting function is opened can be improved, so as to avoid the impact on the target device caused by still opening the AI ​​hosting function when the control effect of AI hosting is poor, thereby ensuring that the energy saving, comfort and health of the air-conditioning device will not be affected by AI hosting.

[0072] Based on the above first embodiment, a second embodiment of the control method of the AI ​​hosting function of the present application is proposed. In the second embodiment of the present application, referring to FIG. 9 , the control method of the AI ​​hosting function further includes:

[0073] S30, during the operation of the target device, calculating and storing the expected control deviation of the target device when performing AI hosting.

[0074] Specifically, when storing the calculated expected control deviation of the target device during AI hosting, it can be stored in the data storage area of ​​the local device (i.e., the control device) or in the data storage area of ​​another device connected to the local device. This embodiment does not specifically limit this. In addition, there is no fixed order between the above-mentioned step S30 and the above-mentioned steps S10 and S20. They can be staggered or run in parallel.

[0075] In one implementation, step S30 may specifically include:

[0076] Step S31, obtaining a first control parameter of a target device within a target period;

[0077] Step S32, obtaining a second control parameter of the AI ​​hosting for the target device within the target time period;

[0078] Step S33: Calculate the expected control deviation based on the first control parameter and the second control parameter.

[0079] It should be noted that the first control parameter refers to the control parameter actually achieved by the target device when AI hosting is not running, and the second control parameter refers to the control parameter actually achieved by the target device when AI hosting is running.

[0080] In addition, it should be noted that the control parameter may be the control frequency of the target device, the fan speed, the supply air volume, the return air volume, the ambient temperature of the environment in which the target device is located, etc. By calculating the absolute value of the difference between the first control parameter and the second control parameter, the expected control deviation can be obtained.

[0081] In another embodiment, the first control parameter may be a theoretical control parameter of the target device determined by a preset control parameter model.

[0082] The above are merely two implementation methods of step S30 provided in this embodiment, and this embodiment does not specifically limit the specific implementation method of step S30.

[0083] During the operation of the target device, this embodiment continuously calculates and stores the expected control deviation when the target device is AI-hosted. Therefore, when the user's control requirements for the target device are received, such as turning on the target device or opening the control interface of the target device, the corresponding expected control deviation can be directly extracted from the data storage area without the need for additional calculation of the expected control deviation.

[0084] Based on the above-mentioned first embodiment and / or second embodiment, a third embodiment of the control method of the AI ​​hosting function of the present application is proposed. In the third embodiment of the present application, referring to FIG. 10 , the control method of the AI ​​hosting function further includes:

[0085] S40, during the operation of the target device, determining an average expected control deviation when the target device performs AI hosting within a preset time period before the current operation, and storing the expected control deviation when the target device performs AI hosting.

[0086] It should be noted that the average expected control deviation is used to characterize the overall situation of the expected control deviations generated when the target device performs AI hosting within a preset time before the current operation.

[0087] During the operation of the target device, the average expected control deviation of the target device when it is AI-hosted at each time point within the preset time before the current operation can be determined, and the average expected control deviation of the target device when it is AI-hosted at each time period within the preset time before the current operation can also be determined. This embodiment does not make any specific limitations on this.

[0088] During the operation of the target device, this embodiment continuously calculates the average expected control deviation of the target device when it is AI-hosted within the preset time before the current operation, and stores the calculated average expected control deviation as the expected control deviation of the target device when it is AI-hosted, so that the expected control deviation of the target device stored in the data storage area at each moment is essentially the average expected control deviation of the preset time before each moment.

[0089] Therefore, this embodiment does not directly take the deviation of the target device at one point in time as the deviation of the target device at the current moment, but takes the average deviation of the target device in a time period before the current moment as the deviation of the target device at the current moment. The average deviation in a time period can more accurately reflect the expected control deviation of the target device at the current moment than the deviation at one point in time. Therefore, the expected control deviation determined in this embodiment can accurately reflect the expected control deviation of the target device at the current moment.

[0090] Furthermore, the control method of the AI ​​hosting function also includes:

[0091] Step S41, periodically obtaining a first control parameter and a second control parameter;

[0092] Step S42, calculating the expected control deviation of each cycle according to the corresponding first control parameter and second control parameter;

[0093] Step S43: Calculate the average expected control deviation based on the expected control deviation of each cycle, and determine whether to open the AI ​​hosting function based on the average expected control deviation.

[0094] In one embodiment, determining whether to open the AI ​​hosting function based on the average expected control deviation may include: when the average expected control deviation is less than or equal to a preset deviation threshold, adding an entry for the AI ​​hosting function in the control interface; when the average expected control deviation is greater than the preset deviation threshold, deleting the entry for the AI ​​hosting function in the control interface.

[0095] In this embodiment, first, the first control parameter and the second control parameter are periodically obtained to obtain the first control parameter and the second control parameter of the target device in multiple cycles; then, the expected control deviation of each cycle is obtained by calculating the absolute value of the difference between the first control parameter and the second control parameter of each cycle; then, based on the expected control deviation of each cycle, the average expected control deviation is calculated. Since the average preset control deviation represents the overall deviation of the target device in multiple operating cycles during the AI ​​hosting process, it can more accurately reflect the control effect of the AI ​​hosting on the target device. Therefore, when using the average expected control deviation to determine whether to open the AI ​​hosting function, it can further ensure that the target device will open the AI ​​hosting function only when the control effect of the AI ​​hosting is good, and will not open the AI ​​hosting function when the control effect of the AI ​​hosting is poor.

[0096] For example, to facilitate understanding of the technical principle that the average expected control deviation of multiple cycles can more accurately reflect the control effect of AI hosting on the target device, taking the control parameter as temperature as an example, please refer to Figure 4, which shows the first temperature and the second temperature of the target device at different time points. The deviation between the first temperature and the second temperature at time A in Figure 4 is small, while there are time regions with large deviations before and after time A. Therefore, if the expected temperature deviations before and after time A are large, and the expected temperature deviation is small only at time A, then from the overall point of view, the control effect of AI hosting on the target device is poor, while the expected temperature deviation at time A will lead to the conclusion that the control effect of AI hosting on the target device is good, which is contrary to the overall conclusion. Therefore, simply using the expected temperature deviation at time A cannot accurately reflect the control effect of AI hosting on the target device.

[0097] Based on the above-mentioned third embodiment, a fourth embodiment of the control method of the AI ​​hosting function of the present application is proposed. In the fourth embodiment of the present application, the control method of the AI ​​hosting function also includes: periodically obtaining theoretical control parameters and second control parameters; calculating the expected control deviation of each cycle based on the corresponding theoretical control parameters and second control parameters; calculating the average expected control deviation based on the expected control deviation of each cycle, and determining whether to open the AI ​​hosting function based on the average expected control deviation.

[0098] It should be noted that theoretical control parameters refer to the control parameters that the target device needs to achieve at the current moment. These theoretical control parameters are determined by a preset control parameter model based on the target device's current operating parameters and set parameters. Operating parameters may include operating frequency, fan speed, operating power, and operating time, while set parameters may include set temperature, set frequency, and set power.

[0099] In addition, it should be noted that the beneficial effects of this embodiment are the same as those of the fourth embodiment described above, and will not be elaborated here.

[0100] Based on the above-mentioned first embodiment, second embodiment, third embodiment and / or fourth embodiment, a fifth embodiment of the method for controlling the AI ​​hosting function of the present application is proposed. In the fifth embodiment of the present application, after step S20, the method for controlling the AI ​​hosting function further includes:

[0101] When receiving an instruction to enable the AI ​​hosting function, the AI ​​hosting function is started and the target device is controlled to operate according to the recommended parameters of the AI ​​hosting.

[0102] It should be noted that this step is performed when the AI ​​hosting function is determined to be open. It is understandable that when the AI ​​hosting function is determined to be open, an option to start the AI ​​hosting function will appear on the control interface of the target device. Therefore, if a user triggers the startup option of the AI ​​hosting function on the control interface, the control device will also receive an instruction to start the AI ​​hosting function, thereby starting the AI ​​hosting function of the target device and controlling the target device to operate according to the recommended parameters of AI hosting.

[0103] In addition, it should be noted that although the target device needs to turn on the AI ​​hosting function before it will run according to the recommended parameters of AI hosting, even if the target device does not open the AI ​​hosting function or does not turn on the AI ​​hosting function, AI hosting will run in the background and output recommended parameters.

[0104] For example, to help understand the technical concept or technical principle of the present application, please refer to FIG5 , which provides a brief flowchart of the control method of the AI ​​hosting function of the present application, as follows:

[0105] Continuously monitor the operation records of the target device, and for each operation record, obtain the first control parameter of the target device when AI hosting is not running, and obtain the second control parameter of the target device when AI hosting is running; then calculate the absolute value of the difference between the first control parameter and the second control parameter under each operation record to obtain each expected control deviation Td, and calculate the average value of each expected control deviation Td to obtain the average expected control deviation Tda, and store the average expected control deviation Tda in the corresponding data storage area.

[0106] After the average expected control deviation Tda is stored in the corresponding data storage area, if the user turns on the target device, the average expected control deviation Tda will be extracted from the data storage area, and then it will be determined whether the average expected control deviation Tda is greater than the preset deviation threshold F. If the average expected control deviation Tda is greater than the preset deviation threshold F, it is determined that the AI ​​hosting function will not be opened, and if the average expected control deviation Tda is less than or equal to the preset deviation threshold F, it is determined that the AI ​​hosting function will be opened.

[0107] It should be noted that the above examples are only used to understand this application and do not constitute a limitation on the control method of the AI ​​hosting function of this application. More simple transformations based on this technical concept are all within the scope of protection of this application.

[0108] The present application also provides a control device for an AI hosting function, referring to FIG6 . The control device for the AI ​​hosting function includes:

[0109] An acquisition module 10 is configured to acquire an expected control deviation of the target device when the target device is under AI hosting when a control demand of the target device is detected;

[0110] The determination module 20 is used to determine whether to open the AI ​​hosting function based on the expected control deviation.

[0111] In one embodiment, the control device for the AI ​​hosting function further includes:

[0112] During the operation of the target device, the expected control deviation of the target device when performing AI hosting is calculated and stored.

[0113] In one embodiment, the control device for the AI ​​hosting function further includes:

[0114] During the operation of the target device, an average expected control deviation of the target device when performing AI hosting within a preset time before the current operation is determined and stored as the expected control deviation of the target device when performing AI hosting.

[0115] In one embodiment, the control device for the AI ​​hosting function further includes:

[0116] Get the first control parameter of the target device when AI hosting is not running;

[0117] Get the second control parameter of the target device when running AI hosting;

[0118] The expected control deviation is obtained by calculation according to the first control parameter and the second control parameter.

[0119] In one embodiment, the control device for the AI ​​hosting function further includes:

[0120] Periodically acquiring a first control parameter and a second control parameter;

[0121] Calculating an expected control deviation for each cycle based on the corresponding first control parameter and second control parameter;

[0122] Based on the expected control deviation of each cycle, the average expected control deviation is calculated to determine whether to open the AI ​​hosting function based on the average expected control deviation.

[0123] In one embodiment, the acquisition module 10 is further configured to:

[0124] When a power-on command of the target device is received or the control interface of the target device is opened, the expected control deviation of the target device during AI hosting is obtained.

[0125] In one embodiment, the determining module 20 is further configured to:

[0126] When the expected control deviation is less than or equal to the preset deviation threshold, an entry for the AI ​​hosting function is added to the control interface;

[0127] When the expected control deviation is greater than the preset deviation threshold, the entry to the AI ​​hosting function is deleted in the control interface.

[0128] In one embodiment, the control device for the AI ​​hosting function further includes:

[0129] When receiving an instruction to enable the AI ​​hosting function, the AI ​​hosting function is started and the target device is controlled to operate according to the recommended parameters of the AI ​​hosting.

[0130] The control device for the AI ​​hosting function provided in this application adopts the control method for the AI ​​hosting function in the above-mentioned embodiment, which can improve the control effect of the air conditioning equipment after the AI ​​hosting function is enabled, so as to avoid the problems of poor energy saving, poor comfort, and poor health of the air conditioning equipment. Compared with the prior art, the beneficial effects of the control device for the AI ​​hosting function provided in the embodiment of this application are the same as the beneficial effects of the control method for the AI ​​hosting function provided in the above-mentioned embodiment, and the other technical features of the control device for the AI ​​hosting function are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0131] An embodiment of the present application also provides a control device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the control method of the AI ​​hosting function in the above embodiment.

[0132] Reference is now made to Figure 7, which illustrates a schematic diagram of the structure of a control device suitable for implementing embodiments of the present application. The control device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. The control device illustrated in Figure 7 is merely an example and should not limit the functionality or scope of use of the embodiments of the present application.

[0133] As shown in Figure 7, the control device may include a processing device 101 (e.g., a central processing unit (CPU) or graphics processing unit (GPU)). This device can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 102 or programs loaded from a storage device 103 into a random access memory (RAM) 104. RAM 104 also stores various programs and data required for the control device's operation. Processing device 101, ROM 102, and RAM 104 are interconnected via a bus 105. An input / output (I / O) interface 106 is also connected to the bus. Typically, the following systems may be connected to I / O interface 106: input devices 107, such as a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 108, such as a liquid crystal display (LCD), speaker, vibrator, etc.; storage device 103, such as a magnetic tape or hard disk; and communication device 109. Communication device 109 allows the control device to communicate with other devices wirelessly or wired to exchange data. Although the figures show a control device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0134] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 103, or installed from a ROM 102. When the computer program is executed by the processing device 101, the above-mentioned functions defined in the method of the embodiment of the present application are performed.

[0135] The control device provided in the embodiment of the present application adopts the control method of the AI ​​hosting function in the above embodiment, which can solve the technical problem that the control effect of the control device after the AI ​​hosting function is enabled is poor, resulting in poor energy saving, poor comfort, and poor health of the control device. Compared with the existing technology, the beneficial effects of the control device provided in the embodiment of the present application are the same as the beneficial effects of the control method of the AI ​​hosting function provided in the above embodiment, and the other technical features of the control device are the same as the features disclosed in the method of the previous embodiment, and are not repeated here.

[0136] It should be understood that the various parts of the embodiments of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any appropriate manner in any one or more embodiments or examples.

[0137] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

[0138] An embodiment of the present application also provides a computer storage medium storing an operating program of a smart home system that can be run on a processor, and computer-readable program instructions are used to execute the control method of the AI ​​hosting function in the above embodiment.

[0139] The computer storage medium provided in the embodiments of the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this embodiment, the computer storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the computer storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0140] The computer storage medium may be included in the control device, or may exist independently without being assembled into the control device.

[0141] The above-mentioned computer storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the control device, the air-conditioning device: when monitoring the control requirements of the target device, obtains the expected control deviation of the target device when AI hosting is performed; and determines whether to open the AI ​​hosting function based on the expected control deviation.

[0142] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0143] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0144] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0145] The readable storage medium provided in the embodiments of the present application is a computer storage medium, which stores computer-readable program instructions for executing the control method of the above-mentioned AI hosting function. This can improve the control effect of air conditioning equipment after the AI ​​hosting function is enabled, thereby avoiding the problems of poor energy efficiency, poor comfort, and poor health of air conditioning equipment. Compared with the prior art, the beneficial effects of the computer storage medium provided in the embodiments of the present application are the same as the beneficial effects of the control method of the AI ​​hosting function provided in the above-mentioned embodiments, and will not be repeated here.

[0146] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the control method of the AI ​​hosting function as described above.

[0147] The computer program product provided in the embodiments of this application can improve the control effect of air conditioning equipment after the AI ​​hosting function is enabled, thereby avoiding the problems of poor energy efficiency, poor comfort, and poor health of air conditioning equipment. Compared with the existing technology, the beneficial effects of the computer program product provided in the embodiments of this application are the same as the beneficial effects of the control method of the AI ​​hosting function provided in the above embodiments, and will not be repeated here.

[0148] The above are merely embodiments of the present application and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent scope of the present application.

Claims

1. A method for controlling an AI hosting function, wherein: The control method of the AI ​​hosting function includes: When the control requirements of the target device are detected, the expected control deviation of the target device during AI hosting is obtained; Based on the expected control deviation, determine whether to open the AI ​​hosting function.

2. The method for controlling the AI ​​hosting function according to claim 1, wherein: The control method of the AI ​​hosting function further includes: During the operation of the target device, the expected control deviation of the target device when performing AI hosting is calculated and stored.

3. The control method of the AI ​​hosting function according to claim 1, wherein: The control method of the AI ​​hosting function further includes: During the operation of the target device, an average expected control deviation of the target device when performing AI hosting within a preset time before the current operation is determined and stored as the expected control deviation of the target device when performing AI hosting.

4. The method for controlling the AI ​​hosting function according to claim 2 or 3, wherein: During the operation of the target device, the step of calculating the expected control deviation of the target device when performing AI hosting includes: Obtaining a first control parameter of a target device within a target time period; Obtaining a second control parameter of the target device within the target time period by the AI ​​hosting; The expected control deviation is obtained by calculation according to the first control parameter and the second control parameter.

5. The control method of the AI ​​hosting function according to claim 4, wherein: The control method of the AI ​​hosting function further includes: periodically acquiring the first control parameter and the second control parameter; Calculating an expected control deviation for each cycle based on the corresponding first control parameter and second control parameter; Based on the expected control deviation of each cycle, the average expected control deviation is calculated to determine whether to open the AI ​​hosting function based on the average expected control deviation.

6. The method for controlling the AI ​​hosting function according to claim 1, wherein: When the control demand of the target device is detected, the step of obtaining the expected control deviation of the target device when performing AI hosting includes: When a power-on command of the target device is received or the control interface of the target device is opened, the expected control deviation of the target device during AI hosting is obtained.

7. The method for controlling the AI ​​hosting function according to claim 1, wherein: The step of determining whether to open the AI ​​hosting function according to the expected control deviation includes: When the expected control deviation is less than or equal to the preset deviation threshold, an entry for the AI ​​hosting function is added to the control interface; When the expected control deviation is greater than the preset deviation threshold, the entry to the AI ​​hosting function is deleted in the control interface.

8. The method for controlling the AI ​​hosting function according to claim 1, wherein: After the step of determining whether to enable the AI ​​hosting function based on the expected control deviation, the method further includes: When receiving an instruction to enable the AI ​​hosting function, the AI ​​hosting function is started and the target device is controlled to operate according to the recommended parameters of the AI ​​hosting.

9. A control device, wherein: The control device includes a memory, a processor, and a control program for the AI ​​hosting function stored in the memory and executable on the processor. When the control program is executed by the processor, the steps of the method for controlling the AI ​​hosting function according to any one of claims 1 to 8 are implemented.

10. A computer storage medium, wherein: The computer storage medium stores a control program of the AI ​​hosting function that can be run on a processor, and the control program is called by the processor to implement the steps of the control method according to any one of claims 1 to 8.

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