Multi-temperature-zone air conditioner control method, device and equipment based on multi-source sensing and medium

Abstract

The invention relates to a multi-temperature-zone air conditioner control method, device and equipment based on multi-source perception and a medium, the method comprises the steps that multi-source perception information in the vehicle running process is obtained, and the multi-source perception information comprises driver behavior recognition information, in-vehicle air quality information, out-vehicle air quality information and vehicle running state information; calculating a health risk score of the in-vehicle environment according to the multi-source perception information; when the health risk score is greater than the target score, generating an air conditioner control strategy corresponding to each temperature zone in the vehicle according to the multi-source sensing information; air conditioners of all the temperature areas are controlled according to the air conditioner control strategy; and the change of the health risk score is monitored, and the air conditioner control strategy is adjusted according to the change so that self-adaptive health control can be conducted on the vehicle-mounted air conditioner of the multiple temperature zones. The problem that differentiated and dynamic health protection is difficult to carry out for different temperature zones in the vehicle is solved.

Description

Technical Field

[0001] This application relates to the field of vehicle air conditioning control technology, and in particular to a multi-temperature zone air conditioning control method, device, equipment and medium based on multi-source sensing. Background Technology

[0002] With the increasing demands for intelligent and comfortable vehicles, in-vehicle air conditioning systems have evolved from traditional single-zone temperature regulation to systems with independent multi-zone control capabilities. Typically, they can adjust parameters such as temperature and airflow in different zones separately based on driver or passenger settings, thereby improving ride comfort to some extent. However, current systems primarily focus on thermal comfort adjustment, and their control logic is mostly based on manual settings or simple environmental parameter feedback, lacking a comprehensive perception and analysis of in-vehicle health risk factors.

[0003] In actual use, in-vehicle air quality is easily affected by various factors, such as driver smoking, accumulation of pollutants inside the vehicle, and the introduction of polluted outside air through the external air circulation system. These factors can all adversely affect the health of occupants. Currently, when adjusting in-vehicle air conditioning, multi-dimensional information such as driver behavior, the air environment inside and outside the vehicle, and the vehicle's operating status is not considered simultaneously. This makes it impossible to comprehensively and accurately assess in-vehicle health risks, resulting in difficulties in providing differentiated and dynamic health protection for different temperature zones within the vehicle.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This application provides a multi-temperature zone air conditioning control method, device, equipment, and medium based on multi-source sensing to solve the aforementioned technical problem of "difficulty in providing differentiated and dynamic health protection for different temperature zones inside the vehicle".

[0006] According to one aspect of the embodiments of this application, this application provides a multi-temperature zone air conditioning control method based on multi-source perception, comprising: acquiring multi-source perception information during vehicle operation, wherein the multi-source perception information includes driver behavior recognition information, in-vehicle air quality information, out-of-vehicle air quality information, and vehicle operating status information; calculating a health risk score of the in-vehicle environment based on the multi-source perception information, wherein the health risk score is used to quantitatively assess the degree of risk posed by the current in-vehicle environment to the health of in-vehicle passengers; when the health risk score is greater than a target score, generating an air conditioning control strategy corresponding to each temperature zone in the vehicle based on the multi-source perception information; controlling the air conditioning of each temperature zone according to the air conditioning control strategy; monitoring changes in the health risk score, and adjusting the air conditioning control strategy according to the changes, so as to perform adaptive health control of the multi-temperature zone vehicle air conditioning.

[0007] Optionally, acquiring multi-source perception information during vehicle operation includes: acquiring driver image information through an in-vehicle camera device and recognizing the driver image information through a behavior recognition model to obtain driver behavior recognition information; acquiring the concentration of a first pollutant in the in-vehicle air through a first air quality sensor and obtaining in-vehicle air quality information based on the concentration of the first pollutant; acquiring the concentration of a second pollutant in the outside air through a second air quality sensor and obtaining outside air quality information based on the concentration of the second pollutant; and acquiring the current circulation mode of the vehicle air conditioner to determine the air circulation status in the vehicle operation status information during vehicle operation.

[0008] Optionally, a health risk score for the in-vehicle environment is calculated based on multi-source sensing information, including: quantifying the risks of driver behavior recognition information, in-vehicle air quality information, outside-vehicle air quality information, and vehicle operating status information to obtain corresponding sub-risk indicators; assigning weights to each sub-risk indicator; and performing a weighted calculation of each sub-risk indicator based on the weights to obtain a health risk score.

[0009] Optionally, an air conditioning control strategy corresponding to each temperature zone in the vehicle is generated based on multi-source sensing information, including: determining the baseline level of vehicle protection based on health risk scores; obtaining temperature zone correlation information for each temperature zone from multi-source sensing information, and judging the degree of risk deviation of each temperature zone relative to the whole vehicle based on the temperature zone correlation information, wherein the temperature zone correlation information includes whether pollutants are detected in the current temperature zone, whether there are passengers, whether it is close to a pollution source, and the current air conditioning air supply status; determining the health protection level of each temperature zone based on the degree of risk deviation and the baseline level; and generating an air conditioning control strategy corresponding to each temperature zone based on the health protection level of each temperature zone.

[0010] Optionally, based on the health protection level of each temperature zone, an air conditioning control strategy corresponding to each temperature zone is generated, including: determining the configuration strategy of the control parameters of the temperature zone according to the health protection level of the temperature zone, wherein the control parameters include at least one of air conditioning operating parameters, air purification mode and air circulation mode, and different parameter configurations correspond to different health protection levels; and determining the configuration strategy of the control parameters as the air conditioning control strategy of the temperature zone.

[0011] Optionally, the air conditioning in each temperature zone is controlled according to the air conditioning control strategy, including: when the air conditioning control strategy indicates switching the air circulation mode, controlling the vehicle air conditioning in the temperature zone to switch between external circulation mode and internal circulation mode; when the air conditioning control strategy indicates adjusting the air conditioning operating parameters, adjusting the air conditioning output power and / or air volume and / or air supply mode of the temperature zone; when the air conditioning control strategy indicates activating the air purification mode, controlling the working mode of the air purification component according to the pollutant type.

[0012] Optionally, the operating mode of the air purification component can be controlled according to the type of pollutant, including: determining the type of pollutant in the vehicle based on in-vehicle air quality information; controlling the air purification component to activate the photocatalytic purification mode when the pollutant type is volatile organic compounds; and controlling the air purification component to activate the physical filtration mode when the pollutant type is particulate matter.

[0013] According to another aspect of the embodiments of this application, this application provides a multi-temperature zone air conditioning control device based on multi-source perception, comprising: an acquisition module, configured to acquire multi-source perception information during vehicle operation, wherein the multi-source perception information includes driver behavior recognition information, in-vehicle air quality information, out-of-vehicle air quality information, and vehicle operating status information; a calculation module, configured to calculate a health risk score of the in-vehicle environment based on the multi-source perception information, wherein the health risk score is used to quantitatively assess the degree of risk posed by the current in-vehicle environment to the health of in-vehicle passengers; a generation module, configured to generate an air conditioning control strategy corresponding to each temperature zone in the vehicle based on the multi-source perception information when the health risk score is greater than a target score; an operation module, configured to control the air conditioning of each temperature zone according to the air conditioning control strategy; and an adjustment module, configured to monitor changes in the health risk score and adjust the air conditioning control strategy according to the changes, so as to perform adaptive health control of the multi-temperature zone vehicle air conditioning.

[0014] According to another aspect of the embodiments of this application, this application provides an electronic device, including a memory, a processor, a communication interface and a communication bus. The memory stores a computer program that can run on the processor. The memory and the processor communicate with each other through the communication bus and the communication interface. When the processor executes the computer program, it implements the steps of the above method.

[0015] According to another aspect of the embodiments of this application, this application also provides a computer-readable medium having processor-executable non-volatile program code that causes the processor to perform the above-described method.

[0016] Compared with related technologies, the technical solutions provided in this application have the following advantages: This application provides a multi-temperature zone air conditioning control method based on multi-source perception, comprising: acquiring multi-source perception information during vehicle operation, wherein the multi-source perception information includes driver behavior recognition information, in-vehicle air quality information, outside-vehicle air quality information, and vehicle operating status information; calculating a health risk score of the in-vehicle environment based on the multi-source perception information, wherein the health risk score is used to quantitatively assess the degree of risk posed by the current in-vehicle environment to the health of in-vehicle passengers; when the health risk score is greater than a target score, generating an air conditioning control strategy corresponding to each temperature zone in the vehicle based on the multi-source perception information; controlling the air conditioning in each temperature zone according to the air conditioning control strategy; monitoring changes in the health risk score, and adjusting the air conditioning control strategy according to the changes, so as to perform adaptive health control of the multi-temperature zone vehicle air conditioning. By acquiring multi-source perception information during vehicle operation to calculate the in-vehicle health risk score, generating corresponding air conditioning control strategies for each temperature zone when the health risk score exceeds a target score, and adjusting the control strategies according to changes in the health risk score, adaptive control of the multi-temperature zone vehicle air conditioning is achieved, solving the problem of difficulty in providing differentiated and dynamic health protection for different temperature zones in the vehicle. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the hardware environment for an optional multi-temperature zone air conditioning control method based on multi-source sensing provided in an embodiment of this application. Figure 2 A flowchart of an optional multi-temperature zone air conditioning control method based on multi-source sensing provided according to an embodiment of this application; Figure 3 This is a schematic diagram of an engine vibration damping system according to an embodiment of this application; Figure 4 This is a block diagram of an optional multi-temperature zone air conditioning control device based on multi-source sensing, according to an embodiment of this application. Figure 5 This is a schematic diagram of an optional electronic device structure provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] In the following description, the use of suffixes such as "module," "part," or "unit" to denote elements is solely for the purpose of illustration and has no specific meaning in itself. Therefore, "module" and "part" may be used interchangeably.

[0022] With the increasing demands for intelligent and comfortable vehicles, in-vehicle air conditioning systems have evolved from traditional single-zone temperature regulation to systems with independent multi-zone control capabilities. Typically, they can adjust parameters such as temperature and airflow in different zones separately based on driver or passenger settings, thereby improving ride comfort to some extent. However, current systems primarily focus on thermal comfort adjustment, and their control logic is mostly based on manual settings or simple environmental parameter feedback, lacking a comprehensive perception and analysis of in-vehicle health risk factors.

[0023] In actual use, in-vehicle air quality is easily affected by various factors, such as driver smoking, accumulation of pollutants inside the vehicle, and the introduction of polluted outside air through the external air circulation system. These factors can all adversely affect the health of occupants. Currently, when adjusting in-vehicle air conditioning, multi-dimensional information such as driver behavior, the air environment inside and outside the vehicle, and the vehicle's operating status is not considered simultaneously. This makes it impossible to comprehensively and accurately assess in-vehicle health risks, resulting in difficulties in providing differentiated and dynamic health protection for different temperature zones within the vehicle.

[0024] To address the problems mentioned in the background art, according to one aspect of the embodiments of this application, an embodiment of a multi-temperature zone air conditioning control method based on multi-source sensing is provided.

[0025] Optionally, in the embodiments of this application, the above-described multi-temperature zone air conditioning control method based on multi-source sensing can be applied to, for example... Figure 1 The hardware environment shown consists of terminal 101 and server 103. Figure 1 As shown, server 103 is connected to terminal 101 via a network and can be used to provide services to the terminal or clients installed on the terminal. Database 105 can be set up on the server or independently of the server to provide data storage services for server 103. The network mentioned above includes, but is not limited to, wide area network, metropolitan area network or local area network. Terminal 101 includes, but is not limited to, PC, mobile phone, tablet computer, etc.

[0026] The multi-temperature zone air conditioning control method based on multi-source sensing in this application embodiment can be executed by server 103, or it can be jointly executed by server 103 and terminal 101, such as... Figure 2 As shown, it includes: Step 201: Acquire multi-source perception information during vehicle operation, including driver behavior recognition information, in-vehicle air quality information, out-of-vehicle air quality information, and vehicle operating status information. Step 202: Calculate the health risk score of the in-vehicle environment based on multi-source sensing information. The health risk score is used to quantitatively assess the degree of risk that the current in-vehicle environment poses to the health of the passengers in the vehicle. Step 203: When the health risk score is greater than the target score, generate an air conditioning control strategy corresponding to each temperature zone in the vehicle based on multi-source perception information; Step 204: Control the air conditioning in each temperature zone according to the air conditioning control strategy; Step 205: Monitor changes in the health risk score and adjust the air conditioning control strategy accordingly to perform adaptive health control of the multi-temperature zone vehicle air conditioning.

[0027] This application proposes a multi-temperature zone air conditioning control method based on multi-source sensing.

[0028] By acquiring multi-source sensing information during vehicle operation, driver behavior recognition information, in-vehicle air quality information, out-of-vehicle air quality information, and vehicle operating status information are comprehensively utilized to calculate a health risk score that reflects the overall health status inside the vehicle, thereby avoiding the problem of inaccurate assessments caused by relying on only a single sensor.

[0029] When the health risk score exceeds the preset target score, the air conditioning control strategy is generated for each temperature zone in the vehicle based on multi-source perception information, so that the air conditioning system can implement differentiated protection and control for the health risk status of different temperature zones, rather than using a uniform control method.

[0030] By continuously monitoring changes in health risk scores and adjusting the air conditioning control strategy accordingly, the multi-temperature zone vehicle air conditioning system can adaptively adjust to changes in the internal and external environment and driving behavior, thereby realizing a dynamic multi-temperature zone air conditioning control mechanism oriented towards health risks, significantly improving the intelligence level and health protection capabilities of the vehicle air conditioning system.

[0031] As an optional embodiment, acquiring multi-source perception information during vehicle operation includes: acquiring driver image information through an in-vehicle camera device and recognizing the driver image information through a behavior recognition model to obtain driver behavior recognition information; acquiring the concentration of a first pollutant in the in-vehicle air through a first air quality sensor and obtaining in-vehicle air quality information based on the concentration of the first pollutant; acquiring the concentration of a second pollutant in the outside air through a second air quality sensor and obtaining outside air quality information based on the concentration of the second pollutant; and acquiring the current circulation mode of the vehicle air conditioner to determine the air circulation state in the vehicle operation status information during vehicle operation.

[0032] The driver's image information is continuously collected by camera devices deployed in the vehicle (such as cameras in OMS (Occupant Monitoring System)). The images include the driver's face and upper body. The driver's image information is then input into a pre-trained behavior recognition model for analysis.

[0033] The behavior recognition model, based on computer vision technology, can identify specific behavioral patterns related to health risks. It focuses on analyzing features such as "holding an object close to the mouth" and "specific hand movements" to obtain driver behavior recognition information and determine whether the driver is smoking.

[0034] The concentration of pollutants in the air is monitored in real time by a first air quality sensor installed in the vehicle (such as a combination of a VOC (Volatile Organic Compounds) sensor and a PM2.5 sensor).

[0035] A second air quality sensor installed on the exterior of the vehicle (such as near the front grille) monitors the concentration of pollutants in the external environment in real time.

[0036] Obtaining the current airflow mode from the vehicle's air conditioning controller determines whether the system is in external airflow mode (drawing in air from outside the vehicle) or internal airflow mode (recirculating the air inside the vehicle). The airflow mode is a crucial basis for risk assessment and strategy development. For example, even if external sensors detect high pollution levels, if the air conditioning is already in internal airflow mode, the risk is low; conversely, if it is in external airflow mode, the risk is extremely high, requiring immediate action.

[0037] Single sensor information is prone to misjudgment (e.g., a brief odor outside the vehicle may not require processing), but this embodiment significantly reduces the false alarm rate through cross-validation of multi-source information. For example, if both driver smoking and increased VOC concentration inside the vehicle are detected simultaneously, it can be determined that the air inside the vehicle is polluted, thereby initiating health protection controls and avoiding decision-making hesitation or errors caused by single-source information.

[0038] As an optional embodiment, the health risk score of the in-vehicle environment is calculated based on multi-source sensing information, including: quantifying the risks of driver behavior recognition information, in-vehicle air quality information, outside-vehicle air quality information, and vehicle operating status information to obtain corresponding sub-risk indicators; assigning weights to each sub-risk indicator; and performing weighted calculations on each sub-risk indicator based on the weights to obtain the health risk score.

[0039] Risk quantification is performed on driver behavior recognition information, in-vehicle air quality information, out-of-vehicle air quality information, and vehicle operating status information. This means assigning different risk values ​​to different behaviors and mapping various information onto a unified numerical scale (e.g., 0-100 points), with higher scores representing greater risks.

[0040] For example, if a driver is detected smoking, the score for the driver behavior identification information sub-risk indicator is 90 (high risk, directly introducing a large amount of pollutants); if no risky behavior is detected, the score for the driver behavior identification information sub-risk indicator is 0.

[0041] For example, based on the readings of the VOC / PM2.5 sensors inside the vehicle, the risk value of the in-vehicle air quality information is classified according to the concentration level. If the VOC concentration is greater than 2.0 mg / m³, the risk value for this sub-indicator of in-vehicle air quality information is 85; if the VOC concentration is between 0.5 mg / m³ and 2.0 mg / m³, the risk value is 40; and if the VOC concentration is less than 0.1 mg / m³, the risk value is 5.

[0042] The risk quantification methods for external air quality information are similar to those for internal air quality information.

[0043] For example, if high pollution is detected outside the vehicle and the air conditioner is in external circulation mode, the sub-risk indicator of vehicle operating status information is 75, indicating a high risk and continuous inhalation of pollutants. If high pollution is detected outside the vehicle but the air conditioner is in internal circulation mode, the sub-risk indicator of vehicle operating status information is 20, indicating a risk but effective isolation.

[0044] Not every risk factor is equally important, so it is necessary to assign a weight coefficient to each sub-risk indicator according to the importance of different factors, and then perform a weighted summation.

[0045] For example, the sum of weights is 1, the weight of driver behavior recognition information is set to 0.4, the weight of in-vehicle air quality information is set to 0.3, the weight of outside air quality information is set to 0.2, and the weight of vehicle operating status information is set to 0.1. If it is detected that the driver is smoking (90 points), the VOC concentration inside the vehicle is high (85 points), the outside air quality is good (10 points), and the air conditioner is in recirculation mode (20 points), then the weighted calculation of each sub-risk indicator is performed, and the resulting health risk score is = (90×0.4)+(85×0.3)+(10×0.2)+(20×0.1)=36+25.5+2+2=65.5.

[0046] The air conditioning control strategy is activated only when the health risk score exceeds the target score. The target score can be determined by the user based on their tolerance for health risks, actual requirements, and a large amount of experimental data. This score represents the risk threshold that the system deems necessary to intervene.

[0047] By transforming heterogeneous information (behavior, gas concentration, system state) of different natures and sources into a single comparable value, the problem of how to comprehensively judge complex situations is solved, providing a quantitative basis for system decision-making and avoiding misoperation caused by fluctuations in a single indicator or subjective judgment.

[0048] As an optional embodiment, an air conditioning control strategy corresponding to each temperature zone in the vehicle is generated based on multi-source sensing information, including: determining the baseline level of vehicle protection based on health risk scores; obtaining temperature zone correlation information for each temperature zone from the multi-source sensing information, and determining the degree of risk deviation of each temperature zone relative to the whole vehicle based on the temperature zone correlation information, wherein the temperature zone correlation information includes whether pollutants are detected in the current temperature zone, whether there are passengers, whether it is close to a pollution source, and the current air conditioning air supply status; determining the health protection level of each temperature zone based on the degree of risk deviation and the baseline level; and generating an air conditioning control strategy corresponding to each temperature zone based on the health protection level of each temperature zone.

[0049] The calculated health risk score is mapped to a preset protection level system. This baseline level represents the average or basic level of protection recommended by the system in the current overall environment. For example, if the health risk score is less than or equal to 30, the baseline level is Level 1 (low protection); if the health risk score is greater than 30 but less than 70, the baseline level is Level 2 (medium protection); and if the health risk score is greater than or equal to 70, the baseline level is Level 3 (high protection).

[0050] This application does not apply a "one-size-fits-all" approach to all temperature zones, but instead analyzes the temperature zone correlation information for each zone to determine whether its risk is higher or lower than the average level of the whole vehicle.

[0051] Determine whether pollutants are detected in the current temperature zone. For example, if a sensor installed at or near the air outlet of a specific temperature zone detects an abnormally high VOC concentration in that area, then the risk level of that temperature zone is determined to be positively deviated.

[0052] Determine whether any passenger is in the designated temperature zone. This can be done using seat pressure sensors or OMS cameras. If a passenger is not in the designated temperature zone, even if the overall vehicle risk is high, there is no need for protection in that zone, and it can be classified as a negative risk deviation (the air supply to that zone can be turned off to save energy).

[0053] Determine whether a temperature zone is close to a pollution source. For example, if the temperature zone (cockpit) where a smoker (such as a driver) is located is located using an OMS camera, then that temperature zone is considered close to a pollution source, and the risk is significantly positively deviated.

[0054] Determine the current air conditioning operation status for that temperature zone. For example, check whether the air outlets for that temperature zone are open and the airflow volume.

[0055] Based on the overall vehicle baseline level, fine-tuning is performed according to the degree of risk deviation to obtain the final health protection level for each temperature zone. For example, if the overall vehicle baseline level is level two (medium protection), and the driver is detected smoking, the risk deviates significantly in the positive direction, and the health protection level for the driver's cabin temperature zone is raised to level three (high protection); if there are passengers in the rear left temperature zone but no local contamination is detected, the health protection level for that zone remains at level two (medium protection); if there are no passengers in the rear right temperature zone, the health protection level for that zone is lowered to level one (low protection).

[0056] A mapping table between health protection levels and control strategies is pre-generated, with each health protection level corresponding to a complete set of configuration methods for multiple control parameters.

[0057] By identifying the specific temperature zone where the pollution source is located and implementing localized key protection, while reducing or shutting down the protection intensity of uninhabited areas and clean areas, the targeting and efficiency of protection are greatly improved.

[0058] As an optional embodiment, based on the health protection level of each temperature zone, an air conditioning control strategy corresponding to each temperature zone is generated, including: determining the configuration strategy of the control parameters of the temperature zone according to the health protection level of the temperature zone, wherein the control parameters include at least one of air conditioning operating parameters, air purification mode and air circulation mode, and different parameter configurations correspond to different health protection levels; and determining the configuration strategy of the control parameters as the air conditioning control strategy of the temperature zone.

[0059] The configuration strategy is the set of control instructions that are ultimately output to the vehicle actuators (such as air conditioning compressors, damper motors, window controllers, etc.).

[0060] Different health protection levels correspond to different control parameter configurations to reflect the required protection intensity under different health risk levels. The higher the health protection level, the more instructions need to be executed.

[0061] For example, for the cabin temperature zone with a health protection level of three (high protection), the air circulation mode is switched to recirculation mode (to prevent smoke from spreading throughout the vehicle); the air conditioning operating parameters are set to increase the air volume to accelerate air circulation; the purification mode is activated; and a prompt message is given, suggesting that the driver open the window or the system automatically opens the window for ventilation.

[0062] For example, for the rear left-side temperature zone with a health protection level of Level 2 (medium protection), the air circulation mode is maintained or switched to internal circulation; normal air supply is maintained; and the standard purification mode is turned on.

[0063] For example, for the rear right-side temperature zone with a health protection level of Level 1 (low protection / off), the air supply can be turned off to save energy.

[0064] The health protection level reflects the required health protection intensity for each temperature zone under the current condition, while the control parameter configuration strategy describes the control method that the vehicle air conditioning system should adopt in the corresponding temperature zone under different protection intensities. By pre-establishing the correspondence between the health protection level and the control parameter configuration, the required air conditioning control strategy can be directly determined based on the health protection level of the temperature zone without adding extra judgment logic.

[0065] In addition, by implementing downgraded protection or shutdown strategies for low-risk temperature zones, unnecessary energy consumption is avoided. For example, high-power purification and strong wind modes are activated only in the high-risk cockpit, while ventilation is shut off in the unoccupied rear seats. This makes the system's energy utilization more efficient and extends the vehicle's driving range.

[0066] As an optional embodiment, the air conditioning in each temperature zone is controlled according to the air conditioning control strategy, including: when the air conditioning control strategy indicates switching the air circulation mode, controlling the vehicle air conditioning in the temperature zone to switch between external circulation mode and internal circulation mode; when the air conditioning control strategy indicates adjusting the air conditioning operating parameters, adjusting the air conditioning output power and / or air volume and / or air supply mode of the temperature zone; when the air conditioning control strategy indicates activating the air purification mode, controlling the working mode of the air purification component according to the pollutant type.

[0067] When the air conditioning control strategy is set to switch to recirculation mode, a control signal is sent to the recirculation damper motor of the vehicle's air conditioning system. For example, if smoking is detected or an external pollution source is detected and the system is in external recirculation mode, the air conditioning control strategy will instruct an immediate forced switch to internal recirculation mode. By changing the air source from "drawing in outside air" to "recirculating existing air inside the vehicle," the system cuts off the input path of external pollution sources and prevents pollutants generated inside the vehicle (such as smoke) from spreading to other areas outside the vehicle.

[0068] When the air conditioning control strategy is to adjust the air conditioning operating parameters, the power or opening degree of the relevant actuators is adjusted through the vehicle's domain controller or air conditioning controller. For example, when high-intensity purification is activated, the air volume is increased, thereby improving the purification efficiency per unit time by accelerating the circulation rate of air in the cabin and through the purification filter; when it is detected that passengers are cold, the airflow direction is adjusted to avoid direct airflow, preventing cold air from directly contacting the human body and causing discomfort, thus improving comfort.

[0069] When the air conditioning control strategy is set to control the operation mode of the air purification components, different functional modules in the purification system are activated according to the strategy instructions and the type of pollutants. For example, for VOCs / odors, the air purification components are controlled to activate the photocatalytic purification mode (such as activating the UV-LED light source to irradiate the photocatalytic mesh), using photocatalytic reactions to decompose organic pollutants into harmless carbon dioxide and water; for particulate matter (PM2.5), the air purification components are controlled to activate the physical filtration mode (such as using HEPA (High-Efficiency Particulate Air) filters), directly intercepting particulate matter through high-efficiency filter materials, while avoiding the trace amounts of ozone that may be generated by the photocatalytic mode.

[0070] In addition, control parameters can also include window opening / closing status. If the air conditioning control strategy includes window control commands, when the window control commands instruct adjustments to the window opening / closing status, the system will output window opening / closing prompts for the specified temperature zone or control the windows to perform opening / closing operations. For example, when the air conditioning control strategy is to adjust the window opening / closing status, commands will be sent to the window motors, or prompts will be issued to the user through the human-machine interface. For example, if a window or sunroof is open, the system will issue a prompt sound or display information on the central control screen (such as "It is recommended to close the windows"). Balancing safety and respecting user wishes, and provided the system permissions allow, the windows can also be automatically closed to quickly ensure airtightness and maximize the effectiveness of the internal circulation and purification measures.

[0071] According to the pre-generated control strategy, targeted air circulation, air conditioning operation, air purification, and window control operations are implemented for each temperature zone, thereby accurately implementing health protection decisions at the specific control level. Compared with control methods based on a single area or uniform rules, this embodiment can improve the precision of health protection for multi-temperature zone vehicle air conditioning and make the control logic clearer and more efficient, which is conducive to improving the health protection effect of the in-vehicle air environment and the overall intelligence level of the system.

[0072] As an optional embodiment, the operating mode of the air purification component is controlled according to the type of pollutant, including: determining the type of pollutant in the vehicle based on the in-vehicle air quality information; controlling the air purification component to activate the photocatalytic purification mode when the pollutant type is volatile organic compounds; and controlling the air purification component to activate the physical filtration mode when the pollutant type is particulate matter.

[0073] The first air quality sensor provided in this application can detect VOC concentration and PM2.5 concentration, and by comparing the concentration levels of these two pollutants, it can determine the main source of current in-vehicle air pollution.

[0074] If the VOC concentration reading is significantly elevated (e.g., exceeding the safety threshold), while the PM2.5 concentration is at a normal level, then the current pollutant type is determined to be mainly VOC / gaseous pollutant.

[0075] If the PM2.5 concentration reading is significantly elevated (e.g., due to smog or road dust), while the VOC concentration is normal, then the current pollutant type is determined to be particulate matter.

[0076] If both rise significantly and exceed the safety threshold, two purification modes can be activated.

[0077] When VOC pollution is detected, the system activates the UV-LED light source in the air purification component to illuminate the photocatalytic mesh (such as nano-titanium dioxide TiO2). This utilizes photocatalytic oxidation technology. The UV light activates the photocatalytic material, generating highly oxidizing hydroxyl radicals that can completely decompose VOCs (such as formaldehyde and benzene compounds) and odor molecules into harmless carbon dioxide (CO2) and water (H2O). This method fundamentally eliminates gaseous pollutants, rather than simply adsorbing them.

[0078] When particulate matter pollution is detected, the system maintains or only activates the fans and filters of the purification components, without activating the UV light source. It relies on the mechanical blocking, sieving, and adsorption effects of high-efficiency particulate matter (HEPA filters) to directly intercept solid particulate matter such as PM2.5, dust, pollen, bacteria, and viruses. HEPA filters have extremely high filtration efficiency (over 99.97%) for particles as small as 0.3 microns.

[0079] The HEPA filter element provided in this application is an intelligent adaptive photocatalytic composite filter element, including a dynamic photocatalytic layer: a nano-titanium dioxide (TiO2) photocatalytic mesh integrated after the activated carbon layer, equipped with a UV-LED light source (intelligently start and stop); and a pollutant identification sensor: a built-in VOC / PM2.5 dual-mode sensor to analyze air composition in real time. The working logic is as follows: when the sensor detects an increase in odor / VOC concentration, it automatically activates the UV light source to initiate the photocatalytic reaction, decomposing organic compounds such as formaldehyde and benzene into CO2 and H2O; when the PM2.5 / allergen concentration increases, it turns off the UV light source and only activates the physical filtration mode (to avoid the generation of trace amounts of ozone through photocatalysis); in night mode, it switches to a silent physical adsorption state.

[0080] The air purification component control method described in this embodiment can automatically select a matching purification mode according to the type of pollutants in the vehicle's air, thereby improving the targeting and purification efficiency of the air purification process.

[0081] This application provides a purification component that adds an activated carbon layer to a regular filter cartridge, which can effectively adsorb odors, harmful gases (such as sulfur dioxide and nitrogen oxides) and some volatile organic compounds, or uses a HEPA / high-efficiency filter cartridge, which can filter more than 99.97% of 0.3-micron particles, including PM2.5, bacteria, viruses, allergens, etc.

[0082] This application provides a multi-temperature zone air conditioning control method based on multi-source perception, comprising: acquiring multi-source perception information during vehicle operation, wherein the multi-source perception information includes driver behavior recognition information, in-vehicle air quality information, outside-vehicle air quality information, and vehicle operating status information; calculating a health risk score of the in-vehicle environment based on the multi-source perception information, wherein the health risk score is used to quantitatively assess the degree of risk posed by the current in-vehicle environment to the health of in-vehicle passengers; when the health risk score is greater than a target score, generating an air conditioning control strategy corresponding to each temperature zone in the vehicle based on the multi-source perception information; controlling the air conditioning in each temperature zone according to the air conditioning control strategy; monitoring changes in the health risk score, and adjusting the air conditioning control strategy according to the changes, so as to perform adaptive health control of the multi-temperature zone vehicle air conditioning. By acquiring multi-source perception information during vehicle operation to calculate the in-vehicle health risk score, generating corresponding air conditioning control strategies for each temperature zone when the health risk score exceeds a target score, and adjusting the control strategies according to changes in the health risk score, adaptive control of the multi-temperature zone vehicle air conditioning is achieved, solving the problem of difficulty in providing differentiated and dynamic health protection for different temperature zones in the vehicle.

[0083] This application also provides an embodiment of adjusting the air conditioner according to the temperature of the occupants, specifically including: collecting multimodal data, including visual data, infrared thermal imaging data and physiological micro-motion data; performing fusion analysis on the multimodal data to extract physiological features; determining the temperature of the occupants based on the physiological features, and adjusting the air conditioner according to the temperature of the occupants.

[0084] Visual data consists of facial images and body posture information of occupants collected by cameras (preferably including RGB cameras and infrared thermal imaging cameras) of the vehicle occupant monitoring system; infrared thermal imaging data consists of the surface temperature distribution of specific parts of the occupant's body (such as the tip of the nose, cheeks, ears, and hands) measured by infrared cameras, which is the most direct physiological indicator for judging whether the occupant is cold or warm; physiological micro-motion data consists of the detection of involuntary micro-movements of the occupant (such as shivering, curling up) and changes in physiological parameters such as heart rate and respiratory rate by sensors such as millimeter-wave radar.

[0085] Physiological characteristics include the temperature difference between peripheral and core body temperatures, the presence of arm-hugging or curled-up postures, and heart rate variability. Pre-trained machine learning models (such as Support Vector Machines (SVM) or deep learning neural networks) are used to classify the extracted features and output the occupant's real-time temperature status level (e.g., cold, slightly cold, comfortable, slightly warm, hot).

[0086] It can create personal profiles for different passengers, learn their unique temperature preferences and physiological response patterns, and achieve personalized comfort assessment.

[0087] This application also provides an embodiment of power and thermal management coordination, including: acquiring the vehicle's real-time driving status (such as rapid acceleration, constant speed, coasting, idling) and remaining battery power; when the vehicle is identified as being in a high power demand scenario (such as overtaking, uphill), the system automatically and temporarily reduces the power of the air conditioning compressor or suspends unnecessary comfort adjustments to prioritize power output; when the vehicle is in a low power demand or energy recovery scenario (such as congestion, coasting, idling), the system restores normal or enhances the operation of the air conditioning and comfort functions, and uses the recovered energy for compensation; when the air conditioning is used without starting the engine (such as when an electric vehicle is in standby mode), the system intelligently manages power usage priority based on battery power to prevent battery depletion.

[0088] Vehicle air conditioning relies on the engine to drive the compressor. Running it for extended periods can deplete power, leading to sluggish acceleration or abnormal vehicle vibration. The compressor is typically located on the subframe or powertrain. The subframe and powertrain are connected to the vehicle body by bushings, which provide vibration isolation. Only a small portion of the vibration generated by the compressor is transmitted to the vehicle body.

[0089] Figure 3The schematic diagram of the engine vibration damping system provided in this application is shown in the figure. The compressor is mounted on the engine and rigidly connected by bolts. The engine and motor are connected to the vehicle body through left and right suspensions. The vibration of the compressor and engine is attenuated through the bushing structure in the three suspensions, thereby achieving the effect of vibration damping.

[0090] This embodiment can reduce the burden on the power system and reduce battery consumption.

[0091] According to another aspect of the embodiments of this application, this application provides a multi-temperature zone air conditioning control device based on multi-source sensing, such as... Figure 4 As shown, it includes: The acquisition module 401 is used to acquire multi-source perception information during vehicle operation, including driver behavior recognition information, in-vehicle air quality information, out-of-vehicle air quality information, and vehicle operating status information. The calculation module 402 is used to calculate the health risk score of the in-vehicle environment based on multi-source sensing information. The health risk score is used to quantitatively assess the degree of risk that the current in-vehicle environment poses to the health of the passengers in the vehicle. The generation module 403 is used to generate air conditioning control strategies corresponding to each temperature zone in the vehicle based on multi-source perception information when the health risk score is greater than the target score. Operation module 404 is used to control the air conditioning in each temperature zone according to the air conditioning control strategy; The adjustment module 405 is used to monitor changes in the health risk score and adjust the air conditioning control strategy according to the changes to perform adaptive health control of the multi-temperature zone vehicle air conditioning.

[0092] It should be noted that the acquisition module 401 in this embodiment can be used to execute step 201 in this application embodiment, the calculation module 402 in this embodiment can be used to execute step 202 in this application embodiment, the generation module 403 in this embodiment can be used to execute step 203 in this application embodiment, the operation module 404 in this embodiment can be used to execute step 204 in this application embodiment, and the adjustment module 405 in this embodiment can be used to execute step 205 in this application embodiment.

[0093] Optionally, the acquisition module 401 is further configured to acquire driver image information through an in-vehicle camera device, and identify the driver image information through a behavior recognition model to obtain driver behavior recognition information; acquire the concentration of a first pollutant in the air inside the vehicle through a first air quality sensor, and obtain in-vehicle air quality information based on the concentration of the first pollutant; acquire the concentration of a second pollutant in the air outside the vehicle through a second air quality sensor, and obtain outside air quality information based on the concentration of the second pollutant; and acquire the current circulation mode of the vehicle air conditioner to determine the air circulation status in the vehicle operation status information during vehicle operation.

[0094] Optionally, the calculation module 402 is also used to quantify the risks of driver behavior recognition information, in-vehicle air quality information, out-of-vehicle air quality information and vehicle operating status information respectively to obtain corresponding sub-risk indicators; assign weights to each sub-risk indicator, and perform weighted calculation on each sub-risk indicator based on the weights to obtain a health risk score.

[0095] Optionally, the generation module 403 is also used to determine the baseline level of vehicle protection based on the health risk score; obtain temperature zone correlation information for each temperature zone from multi-source sensing information, and determine the degree of risk deviation of the temperature zone relative to the whole vehicle based on the temperature zone correlation information, wherein the temperature zone correlation information includes whether pollutants are detected in the current temperature zone, whether there are passengers, whether it is close to a pollution source, and the current air conditioning air supply status; determine the health protection level of the temperature zone based on the degree of risk deviation and the baseline level; and generate air conditioning control strategies corresponding to each temperature zone based on the health protection level of each temperature zone.

[0096] Optionally, the generation module 403 is also used to determine the configuration strategy of the control parameters of the temperature zone according to the health protection level of the temperature zone, wherein the control parameters include at least one of the air conditioning operation parameters, air purification mode and air circulation mode, and different health protection levels correspond to different parameter configurations; and the configuration strategy of the control parameters is determined as the air conditioning control strategy of the temperature zone.

[0097] Optionally, the operation module 404 is also used to control the vehicle air conditioner in the temperature zone to switch between external circulation mode and internal circulation mode when the air conditioning control strategy indicates switching the air circulation mode; to adjust the air conditioning output power and / or air volume and / or air supply mode in the temperature zone when the air conditioning control strategy indicates adjusting the air conditioning operating parameters; and to control the working mode of the air purification component according to the type of pollutant when the air conditioning control strategy indicates activating the air purification mode.

[0098] Optionally, the operation module 404 is also used to determine the type of pollutants in the vehicle based on the in-vehicle air quality information; when the pollutant type is volatile organic compounds, control the air purification component to activate the photocatalytic purification mode; when the pollutant type is particulate matter, control the air purification component to activate the physical filtration mode.

[0099] It should be noted that the examples and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the content disclosed in the above embodiments. It should also be noted that the above modules, as part of a device, can operate in environments such as... Figure 1 The hardware environment shown.

[0100] According to another aspect of the embodiments of this application, this application provides an electronic device, such as... Figure 5 As shown, the system includes a memory 501, a processor 503, a communication interface 505, and a communication bus 507. The memory 501 stores a computer program that can run on the processor 503. The memory 501 and the processor 503 communicate through the communication interface 505 and the communication bus 507. When the processor 503 executes the computer program, it implements the steps of the above method.

[0101] The memory and processor in the aforementioned electronic devices communicate with each other via a communication bus and a communication interface. The communication bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0102] The memory may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0103] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be 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, or discrete hardware components.

[0104] According to another aspect of the embodiments of this application, a computer-readable medium having processor-executable non-volatile program code is also provided.

[0105] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments, and will not be repeated here.

[0106] In specific implementation, the embodiments of this application can be referred to the above embodiments and have corresponding technical effects.

[0107] It is understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described herein, or combinations thereof.

[0108] For software implementation, the techniques described herein can be implemented by units that perform the functions described herein. The software code can be stored in memory and executed by a processor. The memory can be implemented in the processor or external to the processor.

[0109] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0110] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0111] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0112] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0113] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0114] If the aforementioned function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiments of this application, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks. It should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further restrictions, an element defined by the phrase "comprising a..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0115] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A multi-temperature zone air conditioning control method based on multi-source sensing, characterized in that, include: Acquire multi-source sensing information during vehicle operation, wherein the multi-source sensing information includes driver behavior recognition information, in-vehicle air quality information, outside-vehicle air quality information, and vehicle operating status information; A health risk score for the in-vehicle environment is calculated based on the multi-source sensing information, wherein the health risk score is used to quantitatively assess the degree of risk posed by the current in-vehicle environment to the health of the passengers in the vehicle. When the health risk score is greater than the target score, an air conditioning control strategy corresponding to each temperature zone in the vehicle is generated based on the multi-source perception information. The air conditioning in each of the temperature zones is controlled according to the aforementioned air conditioning control strategy; The system monitors changes in the health risk score and adjusts the air conditioning control strategy accordingly to achieve adaptive health control of the multi-temperature zone vehicle air conditioning.

2. The method according to claim 1, characterized in that, The acquisition of multi-source perception information during vehicle operation includes: The driver's image information is collected by an in-vehicle camera device, and the driver's image information is identified by a behavior recognition model to obtain the driver's behavior recognition information; The concentration of a first pollutant in the air inside the vehicle is collected by a first air quality sensor, and the air quality information inside the vehicle is obtained based on the concentration of the first pollutant. The concentration of a second pollutant in the air outside the vehicle is collected by a second air quality sensor, and the air quality information outside the vehicle is obtained based on the concentration of the second pollutant. The current circulation mode of the vehicle air conditioner is obtained to determine the air circulation status in the vehicle operation status information during vehicle operation.

3. The method according to claim 1, characterized in that, The calculation of the in-vehicle environment health risk score based on the multi-source sensing information includes: Risk quantification is performed on the driver behavior recognition information, the in-vehicle air quality information, the outside air quality information, and the vehicle operating status information to obtain corresponding sub-risk indicators; Weights are assigned to each of the sub-risk indicators, and a weighted calculation is performed on each of the sub-risk indicators based on the weights to obtain the health risk score.

4. The method according to claim 1, characterized in that, The step of generating an air conditioning control strategy corresponding to each temperature zone inside the vehicle based on the multi-source sensing information includes: The baseline level of vehicle protection is determined based on the aforementioned health risk score; Temperature zone correlation information of each temperature zone is obtained from the multi-source sensing information, and the degree of risk deviation of the temperature zone relative to the whole vehicle is determined based on the temperature zone correlation information. The temperature zone correlation information includes whether pollutants are detected in the current temperature zone, whether there are passengers, whether it is close to the pollution source, and the current air conditioning air supply status. The health protection level of the temperature zone is determined based on the degree of risk deviation and the baseline level. Based on the health protection level of each temperature zone, an air conditioning control strategy corresponding to each temperature zone is generated.

5. The method according to claim 4, characterized in that, The method of generating air conditioning control strategies corresponding to each temperature zone based on the health protection level of each temperature zone includes: The configuration strategy of the control parameters of the temperature zone is determined according to the health protection level of the temperature zone, wherein the control parameters include at least one of air conditioning operation parameters, air purification mode and air circulation mode, and different parameter configurations correspond to different health protection levels; The configuration strategy of the control parameters is determined as the air conditioning control strategy for the temperature zone.

6. The method according to claim 5, characterized in that, The step of controlling the air conditioning in each temperature zone according to the air conditioning control strategy includes: When the air conditioning control strategy indicates that the air circulation mode should be switched, the vehicle air conditioning in the temperature zone should be controlled to switch between external circulation mode and internal circulation mode. When the air conditioning control strategy instructs the adjustment of the air conditioning operating parameters, the air conditioning output power and / or air volume and / or air supply mode of the temperature zone are adjusted. When the air conditioning control strategy indicates that the air purification mode should be activated, the operating mode of the air purification components is controlled according to the type of pollutant.

7. The method according to claim 6, characterized in that, The method of controlling the operating mode of the air purification component according to the type of pollutant includes: The type of pollutants inside the vehicle is determined by the in-vehicle air quality information. When the pollutant is volatile organic compound, the air purification component is controlled to activate the photocatalytic purification mode. When the pollutant type is particulate matter, the air purification component is controlled to activate the physical filtration mode.

8. A multi-temperature zone air conditioning control device based on multi-source sensing, characterized in that, include: The acquisition module is used to acquire multi-source sensing information during vehicle operation, wherein the multi-source sensing information includes driver behavior recognition information, in-vehicle air quality information, out-of-vehicle air quality information, and vehicle operating status information; The calculation module is used to calculate the health risk score of the in-vehicle environment based on the multi-source sensing information, wherein the health risk score is used to quantitatively assess the degree of risk posed by the current in-vehicle environment to the health of the passengers in the vehicle. The generation module is used to generate an air conditioning control strategy corresponding to each temperature zone in the vehicle based on the multi-source perception information when the health risk score is greater than the target score. An operation module is used to control the air conditioners in each of the temperature zones according to the air conditioning control strategy; An adjustment module is used to monitor changes in the health risk score and adjust the air conditioning control strategy according to the changes, so as to perform adaptive health control of the multi-temperature zone vehicle air conditioning.

9. An electronic device comprising a memory, a processor, a communication interface, and a communication bus, wherein the memory stores a computer program executable on the processor, and the memory and the processor communicate via the communication bus and the communication interface, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable medium having processor-executable non-volatile program code, characterized in that, The program code causes the processor to execute the method of any one of claims 1 to 7.

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