Control method, device and equipment of air conditioner in vehicle and storage medium

Abstract

The application provides a control method, device and equipment of an in-vehicle air conditioner and a storage medium. The control method comprises the following steps: recognizing a user image of an in-vehicle user to determine skin exposure information of the in-vehicle user; determining a control parameter of the in-vehicle air conditioner according to the skin exposure information; and controlling operation of the in-vehicle air conditioner according to the control parameter. The technical scheme of the application can humanize the adjustment of the in-vehicle air conditioner, and improve the comfort of the in-vehicle environment and the user experience.

Description

Technical Field

[0001] This application relates to the field of intelligent vehicle technology, and in particular to a method, apparatus, device and storage medium for controlling in-vehicle air conditioning. Background Technology

[0002] Currently, most in-vehicle air conditioning systems are controlled by adjusting the temperature, airflow, and airflow direction based on the interior and exterior temperatures. This method is not conducive to improving user comfort, and because it is not intelligent enough, it requires manual operation, which can easily affect safe driving. Summary of the Invention

[0003] This application provides a method, apparatus, device, and storage medium for controlling an in-vehicle air conditioner to address the problems existing in related technologies. The technical solution is as follows:

[0004] In a first aspect, embodiments of this application provide a method for controlling an in-vehicle air conditioner, including:

[0005] Identify user images of users inside the vehicle to determine information about the exposed skin of the users inside the vehicle;

[0006] The control parameters for the vehicle's air conditioning are determined based on the information regarding exposed skin.

[0007] The operation of the vehicle's air conditioning is controlled according to the control parameters.

[0008] Secondly, embodiments of this application provide a control device for an in-vehicle air conditioning system, comprising:

[0009] The first identification module is used to identify the user image of the user inside the vehicle to determine the skin exposure information of the user inside the vehicle.

[0010] The first control parameter determination module is used to determine the control parameters of the vehicle air conditioning based on the skin exposure information.

[0011] The control operation module is used to control the operation of the vehicle air conditioner according to the control parameters.

[0012] Thirdly, embodiments of this application provide a control device for in-vehicle control, the device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to execute the aforementioned in-vehicle air conditioning control method.

[0013] Fourthly, embodiments of this application provide a computer-readable storage medium that stores computer instructions, wherein when the computer instructions are executed on a computer, the methods in any of the above-described embodiments are performed.

[0014] The advantages or beneficial effects of the above technical solution include at least the ability to humanely adjust the in-vehicle air conditioning, thereby improving the comfort of the in-vehicle environment and the user experience.

[0015] The above overview is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of this application will become readily apparent from the accompanying drawings and the following detailed description. Attached Figure Description

[0016] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the various drawings denote the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in this application and should not be construed as limiting the scope of this application.

[0017] Figure 1 A flowchart illustrating a method for controlling an in-vehicle air conditioner according to an embodiment of this application is shown.

[0018] Figure 2 A scenario diagram illustrating a vehicle air conditioning control method according to an embodiment of this application;

[0019] Figure 3 A flowchart illustrating a method for controlling an in-vehicle air conditioner according to another embodiment of this application is shown;

[0020] Figure 4 A flowchart illustrating a method for controlling an in-vehicle air conditioner according to yet another embodiment of this application;

[0021] Figure 5 A flowchart illustrating a method for controlling an in-vehicle air conditioner according to another embodiment of this application;

[0022] Figure 6 A flowchart illustrating a method for controlling an in-vehicle air conditioner according to another embodiment of this application;

[0023] Figure 7 A schematic diagram illustrating an application example of a vehicle air conditioning control method according to an embodiment of this application;

[0024] Figure 8 A block diagram showing a control device for an in-vehicle air conditioner according to an embodiment of this application;

[0025] Figure 9 A block diagram of a vehicle air conditioning control device according to another embodiment of this application is shown;

[0026] Figure 10 A block diagram of a vehicle air conditioning control device according to an embodiment of this application is shown. Detailed Implementation

[0027] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of this application. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0028] Figure 1 A flowchart illustrating a method for controlling an in-vehicle air conditioner according to an embodiment of this application is shown. Figure 1 As shown, the control method may include:

[0029] Step S101: Identify the user image inside the vehicle to determine the user's exposed skin information;

[0030] Step S102: Determine the control parameters of the vehicle's air conditioning based on the information on exposed skin.

[0031] Step S103: Control the operation of the vehicle's air conditioning according to the control parameters.

[0032] The vehicle can be equipped with image sensors to capture user images. Image recognition of these images can determine the user's exposed skin information. For example, this information can be the area or percentage of exposed skin. In one example, a deep learning model can be trained using a large number of training samples. The trained model can then be used to detect exposed skin areas in user images, thereby determining the skin exposure information.

[0033] Furthermore, the control parameters of the vehicle's air conditioning can be determined based on skin exposure information. These control parameters include, but are not limited to, air conditioning mode, temperature zone, temperature, airflow, air vents, and airflow direction. Preset conditions can be set; for example, when the skin exposure information is the exposed skin area, the preset condition is a preset area value; when the skin exposure information is the exposed skin percentage, the preset condition is a preset percentage value.

[0034] In one example, step S102 may include: when the exposed skin area is greater than a preset area value or the exposed skin ratio is greater than a preset ratio value, determining that the temperature in the control parameters is higher than the standard temperature, the air volume is less than the standard air volume, the air outlet or air direction is not directed towards the user, the temperature zone is set to the area where the user is not present, and the air conditioning mode is cooling, etc.

[0035] In another example, step S102 may include: presetting multiple control modes, each control mode including setting values ​​for various control parameters. Each control mode corresponds one-to-one with each piece of skin exposure information, thereby determining the corresponding control mode based on the skin exposure information of the user in the vehicle, and then obtaining the setting values ​​for each control parameter under that control mode.

[0036] Figure 2 A schematic diagram illustrating an application scenario according to an embodiment of this application is shown. For example... Figure 2 As shown, the vehicle is equipped with an in-vehicle terminal 201, which can be hardware, such as a mobile phone, tablet, laptop, or other electronic device with a display screen. When the in-vehicle terminal 201 is software or an application (APP), it can be installed on the aforementioned electronic device. The server 202 can provide various services, such as supporting applications installed on the in-vehicle terminal 201. The method provided in this embodiment can be executed by the server 202 or by the in-vehicle terminal 201, and the corresponding apparatus can be located in the in-vehicle terminal 201 or the server 202. Any number of in-vehicle terminals, networks, and servers can be configured to meet specific needs.

[0037] In step S103, the vehicle terminal 201 can communicate with the air conditioning module 203 in the vehicle (e.g., via a CAN bus) and send control parameters to the air conditioning module 203 so that the air conditioning module 203 drives the corresponding air conditioning components to operate according to the control parameters. The vehicles in this embodiment include, but are not limited to, pure electric vehicles, hybrid electric vehicles, range-extended electric vehicles, and gasoline vehicles.

[0038] According to the control method of this application embodiment, the in-vehicle air conditioning can be adjusted humanely based on the user's skin exposure status, thereby improving the comfort of the in-vehicle environment and the user experience.

[0039] In one embodiment, step S102 may include: determining the wear information of the user inside the vehicle based on the user image when the skin exposure information meets preset conditions; and determining control parameters based on the wear information.

[0040] For example, as mentioned above, when the skin exposure information is the skin exposure area, the preset condition is a preset area value, and the skin exposure information meeting the preset condition may include the skin exposure area being less than the preset area value; when the skin exposure information is the skin exposure ratio, the preset condition is a preset ratio value, and the skin exposure information meeting the preset condition may include the skin exposure ratio being less than the preset ratio value.

[0041] Wearing information can include clothing type, such as a shirt, sweater, or jacket, and accessory type, such as a scarf or hat. For example, wearing information can include the thickness of the clothing; for instance, the thickness of the clothing can be determined based on its type.

[0042] In one example, a deep learning module can be trained based on a large number of training samples to detect wearable information based on user images.

[0043] For example, determining control parameters based on wear information may include, if it is determined from the wear information that the user in the vehicle is not wearing enough clothing, determining that the temperature is higher than the standard temperature, the air volume is less than the standard air volume, the air vent or air direction is not directed towards the user, and the temperature zone is set to an area where the user is not present.

[0044] In one example, multiple control modes can be preset, each including the setting values ​​for each control parameter. Each control mode corresponds one-to-one with a piece of wearable information, thereby determining the corresponding control mode based on the wearable information of the user in the vehicle, and then obtaining the setting values ​​for each control parameter under that control mode.

[0045] According to the method described in the embodiments of this application, when the user's skin is not exposed, the in-vehicle air conditioning can be controlled in a humane way according to the thickness of the user's clothing, so as to improve the comfort of the in-vehicle environment and the user experience.

[0046] In one implementation, such as Figure 3 As shown, the procedure before step S101 also includes:

[0047] Step S301: Obtain external environmental information, which includes at least one of the following: season, weather, and outside temperature.

[0048] Step S302: Predict whether the skin exposure information meets the preset conditions based on the external environment information of the vehicle;

[0049] Step S303: If it is predicted that the skin exposure information does not meet the preset conditions, proceed to step S101;

[0050] Step S304: If the predicted skin exposure information meets the preset conditions, identify the user image to determine the user's clothing information inside the vehicle; and proceed to step S305.

[0051] Step S305: Determine the control parameters based on the wearer information.

[0052] In other words, the system can predict a user's exposed skin based on external environmental information. If the exposed skin area is less than a preset value or the exposed skin percentage is less than a preset value, it indicates that the user is unlikely to be wearing short sleeves. Therefore, controlling the in-car air conditioning based on skin exposure information is not user-friendly. Instead, the control parameters for the in-car air conditioning can be determined based on the thickness of the user's clothing. Conversely, if the exposed skin area is greater than a preset value or the exposed skin percentage is greater than a preset value, it indicates that the user is very likely to be wearing short sleeves. Therefore, determining the control parameters for the in-car air conditioning based on skin exposure information is more user-friendly and helps improve the comfort of the in-car environment and the user experience.

[0053] In one application example, the external environment information is the current season. Step S302 may include: if the current season is summer, the prediction result is that the skin exposure information meets the preset conditions; if the current season is spring, autumn or winter, the prediction result is that the skin exposure information does not meet the preset conditions.

[0054] In one implementation, such as Figure 4 As shown, step S102 may include:

[0055] Step S401: Detect whether the users inside the vehicle are the preset temperature-sensitive group;

[0056] Step S402: Determine the control parameters based on the test results and skin exposure information.

[0057] Specifically, temperature-sensitive groups can be pre-defined; for example, the elderly and children can be designated as temperature-sensitive groups based on their age. In one example, the age of a user in the vehicle can be detected based on their image, thereby determining whether the user is elderly or a child, and thus whether they fall into the temperature-sensitive group. In another example, the user's identification information, such as their account number, can be obtained, and their age can be determined based on this information. In yet another example, whether the user is seated in a child safety seat can be determined based on an image of their surroundings, thus determining whether they are a child. In yet another example, the user's voice can be captured, and their age can be determined based on the voice recording.

[0058] Furthermore, step S402 may include: if it is detected that the user inside the vehicle is a temperature-sensitive person, the control parameters can be set to values ​​that match the temperature-sensitive person. For example, when the air conditioning mode is cooling mode, the temperature in the control parameters can be set to be higher than the standard temperature, the air volume to be lower than the standard air volume, and the air vents or airflow direction not directed towards the user, etc.

[0059] Step S402 may include: if it is detected that the user inside the vehicle is not a temperature-sensitive person, determining control parameters based on skin exposure information. The method for determining control parameters based on skin exposure information is described above and will not be repeated here.

[0060] In one implementation, such as Figure 5 As shown, step S102 may include:

[0061] Step S501: Determine the awake or asleep state of the user inside the vehicle based on the user image;

[0062] Step S502: Determine control parameters based on wakefulness and skin exposure information.

[0063] For example, a deep learning model can be trained based on a large number of training samples. The trained model can then be used to detect user images to determine whether the user inside the vehicle has their eyes closed or open. Furthermore, the user's heart rate can be combined to determine their wakefulness or sleep status, thereby improving accuracy.

[0064] Furthermore, step S502 may include: when the wake-up state is a sleep state, the control parameters can be set to values ​​that match the sleep state. For example, when the air conditioner mode is cooling mode, the temperature in the control parameters can be set to be higher than the standard temperature, the air volume to be lower than the standard air volume, and the air outlet or air direction not to be directed towards the user, etc.

[0065] Step S502 may include: when the sleep state is an awake state, determining control parameters based on skin exposure information. The method for determining control parameters based on skin exposure information is described above and will not be repeated here.

[0066] In one implementation, such as Figure 6 As shown, step S102 may include:

[0067] Step S601: Determine the surface condition of the user's body, whether they are sweating, based on the user's image.

[0068] Step S602: Determine control parameters based on body surface condition and skin exposure information.

[0069] For example, a deep learning model can be trained based on a large number of training samples. The trained model can then be used to detect user images to determine whether the user inside the vehicle is sweating. Furthermore, the user's heart rate can be combined with this model to determine whether sweating has occurred, thereby improving accuracy.

[0070] Furthermore, step S602 may include: when the body surface is sweating, the control parameters can be set to values ​​that match the body surface condition. For example, when the air conditioning mode is cooling mode, the control parameters can be set to have an airflow rate lower than the standard airflow rate, and the air vents or airflow direction can be set not to face the user.

[0071] Step S502 may include: determining control parameters based on skin exposure information when the body surface is not sweating. The method for determining control parameters based on skin exposure information is described above and will not be repeated here.

[0072] In one example, control parameters can be determined based on at least one of the following: whether the person is a temperature-sensitive individual, their wakefulness or sleep status, and their skin surface condition, combined with information on skin exposure. This allows for more human-centered control of the vehicle's air conditioning, thereby further improving the comfort of the in-vehicle environment and the user experience.

[0073] In one implementation, such as Figure 2 and Figure 7 As shown, the vehicle is equipped with a perception module, a decision-making module, and an air conditioning module 203. The perception module may include user perception components, such as an image sensor for capturing user images, or a microphone for capturing user voice within the vehicle. The perception module may also include environmental perception components, such as a temperature sensor and a humidity sensor. The perception module can sense a model, triggering the corresponding user perception components to collect relevant data. The cloud server can periodically update the perception model. The decision-making module can be located in the vehicle terminal 201 to store the air conditioning temperature control strategy. Specifically, the air conditioning temperature control strategy can be implemented according to steps S102 or S305 mentioned above. Furthermore, the cloud server can periodically update the air conditioning temperature control strategy.

[0074] Figure 8 This diagram illustrates a structural block diagram of a vehicle air conditioning control device according to an embodiment of this application. Figure 8 As shown, the device may include:

[0075] The first recognition module 801 is used to recognize the user image of the user inside the vehicle to determine the user's exposed skin information.

[0076] The first control parameter determination module 802 is used to determine the control parameters of the vehicle air conditioning based on skin exposure information.

[0077] The control operation module 803 is used to control the operation of the vehicle's air conditioning system according to control parameters.

[0078] In one embodiment, the first control parameter determination module 802 is further configured to: determine the wear information of the user inside the vehicle based on the user image when the skin exposure information meets preset conditions; and determine control parameters based on the wear information.

[0079] In one implementation, such as Figure 9 As shown, the control device also includes:

[0080] The vehicle exterior environment information acquisition module 901 is used to acquire vehicle exterior environment information before recognizing the user image of the user inside the vehicle to determine the skin exposure information of the user inside the vehicle. The vehicle exterior environment information includes at least one of season, weather, and outside temperature.

[0081] Prediction module 902 is used to predict whether the skin exposure information meets preset conditions based on the external environment information of the vehicle.

[0082] The first recognition module 801 is also used to recognize the user image to determine the skin exposure information when it is predicted that the skin exposure information does not meet the preset conditions.

[0083] The second recognition module 903 is used to recognize the user image to determine the wear information of the user in the vehicle when it is predicted that the skin exposure information meets the preset conditions.

[0084] The second control parameter determination module 904 is used to determine control parameters based on wearable information.

[0085] In one implementation, the skin exposure information is the skin exposure area, and the preset condition is a preset area value; or, the skin exposure information is the skin exposure ratio, and the preset condition is a preset ratio value.

[0086] In one embodiment, the first control parameter determination module 802 is further configured to: detect whether the user inside the vehicle is a preset temperature-sensitive group; and determine control parameters based on the detection results and skin exposure information.

[0087] In one embodiment, the first control parameter determination module 802 is further configured to: determine the awake or asleep state of the user inside the vehicle based on the user image; and determine control parameters based on the awake or asleep state and skin exposure information.

[0088] In one embodiment, the first control parameter determination module 802 is further configured to: determine the body surface state of the user inside the vehicle based on the user image; and determine control parameters based on the body surface state and skin exposure information.

[0089] The functions of each module in each device in the embodiments of this application can be found in the corresponding descriptions in the above methods, and will not be repeated here.

[0090] Figure 10 This diagram illustrates a structural block diagram of an in-vehicle control device according to an embodiment of this application. Figure 10 As shown, the in-vehicle control device includes a memory 1001 and a processor 1002. The memory 1001 stores instructions that can be executed by the processor 1002. When the processor 1002 executes the instructions, it implements the methods described in the above embodiments. The number of memories 1001 and processors 1002 can be one or more. This in-vehicle control device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The in-vehicle control device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or claimed herein.

[0091] The in-vehicle control device may also include a communication interface 1003 for communicating with external devices and exchanging data. The various devices are interconnected using different buses and can be mounted on a common motherboard or otherwise installed as needed. The processor 1002 can process instructions executed within the in-vehicle control device, including instructions stored in or on memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In other embodiments, multiple processors and / or multiple buses can be used with multiple memories and multiple memory units, if desired. Similarly, multiple in-vehicle control devices can be connected, each providing some necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). The bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, Figure 10 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0092] Optionally, in a specific implementation, if the memory 1001, processor 1002, and communication interface 1003 are integrated on a single chip, then the memory 1001, processor 1002, and communication interface 1003 can communicate with each other through an internal interface.

[0093] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. General-purpose processors can be microprocessors or any conventional processor. It is worth noting that the processor can be a processor supporting Advanced Reduced Instruction Set Machines (ARM) architecture.

[0094] This application provides a computer-readable storage medium (such as the memory 1001 described above) that stores computer instructions, which, when executed by a processor, implement the method provided in this application.

[0095] Optionally, memory 1001 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the device, etc. Furthermore, memory 1001 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 1001 may optionally include memory remotely located relative to processor 1002, and these remote memories can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0096] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.

[0097] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0098] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more (two or more) executable instructions for implementing a particular logical function or process. Furthermore, the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functionality involved.

[0099] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus or device (such as a computer-based system, a processor-included system or other system that can fetch and execute instructions from, an instruction execution system, apparatus or device).

[0100] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. All or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware, the program being stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiments.

[0101] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. This storage medium can be a read-only memory, a disk, or an optical disk, etc.

[0102] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in this application, and these should all be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for controlling an in-vehicle air conditioner, characterized in that, include: Acquire external environmental information, which includes at least one of season, weather, and outside temperature. Predict whether the skin exposure information meets preset conditions based on the external environment information; If the skin exposure information is predicted to meet the preset conditions, the user image is identified to determine the wear information of the user inside the vehicle. The control parameters are determined based on the wearer information; If it is predicted that the skin exposure information does not meet the preset conditions, the user image is identified to determine the skin exposure information, and control parameters are determined based on the skin exposure information. Identify user images to determine skin exposure information; determine control parameters based on the skin exposure information, including any one of the following: The system detects whether the users inside the vehicle belong to a preset temperature-sensitive group, and determines the control parameters based on the detection results and the skin exposure information; or... The user's wakefulness or sleep status inside the vehicle is determined based on the user image, and the control parameters are determined based on the wakefulness or sleep status and the skin exposure information. or, The control parameters are determined based on the user image to determine whether the user inside the vehicle is sweating, and the body surface condition and the skin exposure information are used to determine the control parameters. The operation of the vehicle's air conditioning is controlled according to the control parameters.

2. The control method according to claim 1, characterized in that, The skin exposure information is the skin exposure area, and the preset condition is a preset area value; or, the skin exposure information is the skin exposure ratio, and the preset condition is a preset ratio value.

3. A control device for an in-vehicle air conditioning system, characterized in that, include: The first identification module is used to identify the user image of the user inside the vehicle to determine the skin exposure information of the user inside the vehicle. The vehicle exterior environment information acquisition module is used to acquire vehicle exterior environment information before identifying the user image of the user inside the vehicle to determine the skin exposure information of the user inside the vehicle. The vehicle exterior environment information includes any one of season, weather, and outside temperature. The prediction module is used to predict whether the skin exposure information meets preset conditions based on the external environment information. The first recognition module is used to recognize the user image to determine the skin exposure information when it is predicted that the skin exposure information does not meet the preset conditions; The second recognition module is used to recognize the user image to determine the wear information of the user in the vehicle when it is predicted that the skin exposure information meets the preset conditions; The first control parameter determination module is used to determine the control parameters of the vehicle air conditioner based on the skin exposure information, including at least one of the following: detecting whether the user in the vehicle is a preset temperature-sensitive group, and determining the control parameters based on the detection result and the skin exposure information; The user's wakefulness or sleep status inside the vehicle is determined based on the user image, and the control parameters are determined based on the wakefulness or sleep status and the skin exposure information. The control parameters are determined based on the user image to determine whether the user inside the vehicle is sweating, and the body surface condition and the skin exposure information are used to determine the control parameters. The second control parameter determination module is used to determine the control parameters based on the wearable information; The control operation module is used to control the operation of the vehicle air conditioner according to the control parameters.

4. The control device according to claim 3, characterized in that, The skin exposure information is the skin exposure area, and the preset condition is a preset area value; or, the skin exposure information is the skin exposure ratio, and the preset condition is a preset ratio value.

5. A control device for an in-vehicle air conditioning system, characterized in that, include: At least one processor; as well as 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 to enable the at least one processor to perform the method of any one of claims 1 to 2.

6. A computer-readable storage medium storing computer instructions that, when executed by a processor, implement the method as described in any one of claims 1 to 2.

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