Steering wheel temperature regulation and control method, device and equipment, storage medium and program product

Abstract

The embodiment of the invention provides a steering wheel temperature regulation and control method and device, equipment, a storage medium and a program product. The method comprises the steps that body temperature data and environment temperature data of a user are obtained; generating a temperature regulation strategy based on the body temperature data and the environment temperature data; based on the temperature regulation strategy, a temperature control instruction is generated, and the temperature control instruction is used for controlling a temperature regulation device to adjust the temperature of the steering wheel. By acquiring the body temperature data and the environment temperature data of the user and performing fusion analysis, real-time matching of the temperature regulation and control strategy and the actual demand of the user is ensured, so that the temperature regulation and control strategy can dynamically adapt to complex driving scenes such as low-temperature compensation in winter and temperature change at night, and the temperature of a steering wheel is adjusted to a proper temperature in time; and the influence on the operation accuracy or other risks caused by uncomfortable temperature is avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of temperature control, and in particular to a steering wheel temperature regulation method, device, equipment, storage medium and program product. BACKGROUND

[0002] Modern automobile intelligent development puts forward higher requirements on the comfort and health of driving experience, especially in extreme climate conditions, reasonable adjustment of steering wheel temperature directly affects the physiological comfort and safe driving state of the driver. For example, in cold winter, the driver needs to quickly warm his hands through the steering wheel heating function to avoid frostbite or stiff operation; while in the hot summer environment, the surface temperature of the steering wheel may exceed 60℃, direct contact can cause burning sensation and even scalding.

[0003] The existing vehicles generally adopt passive temperature control strategy based on environmental temperature or preset mode, lack of dynamic perception and active adjustment ability, resulting in temperature regulation lag, insufficient comfort, and even possible driving fatigue or health risk due to temperature discomfort. For example, when the driver drives in a low-temperature environment at night, if the steering wheel temperature is not adjusted to the appropriate range in time, it may cause hand blood vessels to constrict, blood circulation to be limited, and then affect the operation accuracy. SUMMARY

[0004] The embodiments of the present application provide a steering wheel temperature regulation method, device, equipment, storage medium and program product to achieve dynamic perception and active temperature adjustment, and improve driving comfort and safety.

[0005] In a first aspect, the embodiments of the present application provide a steering wheel temperature regulation method, comprising:

[0006] obtaining body temperature data and environmental temperature data of a user;

[0007] generating a temperature regulation strategy based on the body temperature data and the environmental temperature data;

[0008] generating a temperature control instruction based on the temperature regulation strategy, the temperature control instruction being used to control a temperature regulation device to adjust the temperature of the steering wheel.

[0009] In one of the embodiments, obtaining the body temperature data and the environmental temperature data of the user specifically comprises:

[0010] determining a target sampling frequency based on the driving mode; the target sampling frequency has a corresponding relationship with the driving mode;

[0011] obtaining the body temperature data of the user based on the target sampling frequency.

[0012] In one of the embodiments, before generating the temperature regulation strategy based on the body temperature data and the environmental temperature data, it further comprises:

[0013] Obtain the user's vital signs data; vital signs data include blood pressure and heart rate;

[0014] Based on body temperature data and ambient temperature data, a temperature regulation strategy is generated, specifically including:

[0015] The temperature difference between body temperature data and ambient temperature data is obtained.

[0016] Based on vital sign data, obtain the user's health status;

[0017] A temperature regulation strategy is generated based on temperature difference values, health status, and temperature thresholds.

[0018] In one embodiment, before generating a temperature control strategy based on temperature difference values, health status, and temperature thresholds, the method further includes:

[0019] Temperature thresholds are determined based on seasonal patterns, day and night times, and physiological cycles.

[0020] In one embodiment, acquiring the user's body temperature data and ambient temperature data specifically includes:

[0021] Body temperature data, menstrual cycle, and health status are encrypted and then transmitted through the communication module.

[0022] In one embodiment, a temperature regulation strategy is generated based on body temperature data and ambient temperature data, specifically including:

[0023] Calibration parameters are generated by comparing body temperature data output from wearable sensors and infrared temperature measurement modules through a sliding time window.

[0024] Adjust body temperature data based on calibration parameters and output the adjusted body temperature data;

[0025] A temperature control strategy is generated based on the adjusted body temperature data and ambient temperature data.

[0026] In one embodiment, before generating temperature control commands based on a temperature regulation strategy, the method further includes:

[0027] Obtain user feedback data; feedback data includes behavioral feedback data or voice feedback data.

[0028] Based on feedback data and temperature control strategies, temperature control commands are generated.

[0029] Secondly, embodiments of this application provide a steering wheel temperature control device, comprising:

[0030] The acquisition module is used to acquire the user's body temperature data and ambient temperature data;

[0031] The generation module is used to generate temperature control strategies based on body temperature data and ambient temperature data;

[0032] The processing module is used to generate temperature control commands based on the temperature regulation strategy. These commands are used to control the temperature regulation device to adjust the temperature of the steering wheel.

[0033] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0034] The memory stores instructions that the computer executes;

[0035] The processor executes computer execution instructions stored in memory, causing the processor to perform any of the methods described above.

[0036] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement any of the methods described above.

[0037] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements any of the methods described above.

[0038] This application provides a steering wheel temperature control method, device, equipment, storage medium, and program product. The method includes: acquiring a user's body temperature data and ambient temperature data; generating a temperature control strategy based on the body temperature data and ambient temperature data; and generating a temperature control command based on the temperature control strategy. The temperature control command is used to control the temperature control device to adjust the steering wheel temperature. By acquiring and analyzing the user's body temperature data and ambient temperature data, the method ensures that the temperature control strategy matches the user's actual needs in real time. This allows the temperature control strategy to dynamically adapt to complex driving scenarios, such as low-temperature compensation in winter and nighttime temperature changes, adjusting the steering wheel temperature to a suitable level in a timely manner to avoid affecting operational accuracy or other risks due to unsuitable temperature. Attached Figure Description

[0039] 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.

[0040] Figure 1 A flowchart illustrating a steering wheel temperature control method according to an embodiment of this application;

[0041] Figure 2 A schematic diagram of steering wheel temperature control provided in an embodiment of this application;

[0042] Figure 3A schematic diagram of steering wheel temperature control provided for another embodiment of this application;

[0043] Figure 4 A schematic diagram of a steering wheel temperature control device provided in an embodiment of this application;

[0044] Figure 5 A schematic diagram of the structure of the electronic device provided in this application.

[0045] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0046] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0047] Existing technologies: Current vehicle steering wheel temperature control mainly rely on two methods: one is passive heating / cooling control based on ambient temperature sensors, which triggers the heating element (such as a resistance wire or PTC heater) to work through a preset temperature threshold; the other is a mechanical temperature control switch based on manual adjustment by the user, requiring the user to manually adjust the temperature setting according to subjective feeling. However, both of these solutions have significant limitations: they lack dynamic sensing capabilities and cannot acquire the user's physiological state (such as body temperature, heart rate, blood pressure, etc.) in real time, resulting in a disconnect between temperature adjustment and the user's actual needs. For example, under the same ambient temperature, differences in perceived temperature among different users may lead to some users feeling too hot or too cold.

[0048] The technology in this application is applicable to intelligent vehicle cockpit environments, with its core application scenario being personalized driving scenarios.

[0049] Based on the scenarios described above, it is clear that existing technologies lack dynamic perception and proactive adjustment capabilities, resulting in delayed temperature control, insufficient comfort, and potentially causing driver fatigue or health risks due to temperature discomfort. For example, when driving at night in low temperatures, if the steering wheel temperature is not adjusted to a suitable range in time, it may cause blood vessels in the hands to constrict and blood circulation to be restricted, thereby affecting the accuracy of operation.

[0050] This application provides a steering wheel temperature control method that acquires and integrates user body temperature data and ambient temperature data to ensure that the temperature control strategy matches the user's actual needs in real time. This allows the temperature control strategy to be dynamically applied to complex driving scenarios, such as winter low temperature compensation and nighttime temperature changes, and to adjust the steering wheel temperature to a suitable temperature in a timely manner to avoid affecting the accuracy of operation or other risks due to unsuitable temperature.

[0051] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0052] like Figure 1 As shown, Figure 1 This is a flowchart illustrating a steering wheel temperature control method according to an embodiment of this application. The steering wheel temperature control method includes the following steps:

[0053] Step S101: Obtain the user's body temperature data and ambient temperature data.

[0054] Specifically, it refers to the user's current body temperature value obtained through wearable sensors or infrared temperature measurement modules, such as wristbands, medical monitors, etc., which upload body temperature data in real time; and the ambient temperature value obtained through cabin temperature sensors or infrared temperature measurement modules, such as the steering wheel surface temperature or cabin air temperature.

[0055] In one embodiment, step S101 specifically includes the following steps:

[0056] The target sampling frequency is determined based on the driving mode; there is a correspondence between the target sampling frequency and the driving mode.

[0057] Based on the target sampling frequency, acquire the user's body temperature data.

[0058] Specifically, in the steps of collecting user body temperature data and ambient temperature data, the system obtains the current driving mode, such as Eco mode and Sport mode, through the vehicle controller, and adjusts the sampling frequency of the wearable sensor and infrared temperature measurement module according to the driving mode. For example, in Eco mode, the sampling frequency of the wearable sensor is reduced to 5 times per second to reduce energy consumption, while in Sport mode it is increased to 1 time per second to enhance real-time performance. By dynamically adjusting the sensor sampling frequency, the system can optimize the balance between energy consumption and data real-time performance according to the driving mode. For example, in Eco mode, reducing the sampling frequency of the wearable sensor can extend battery life, while increasing the sampling frequency in Sport mode can quickly respond to changes in the user's physiological state, thereby reducing the overall power consumption of the system while ensuring the accuracy of temperature control.

[0059] Economy mode refers to energy-saving mode, with a relatively gentle driving style; Sport mode refers to more aggressive driving style. In other embodiments, the naming of driving modes may differ, and this application does not limit this.

[0060] Step S102: Generate a temperature control strategy based on body temperature data and ambient temperature data.

[0061] Specifically, the system generates temperature control strategies based on body temperature data and ambient temperature data, such as heating power thresholds in winter, cooling power thresholds in summer, and scenarios to cope with nighttime temperature changes, ensuring that the temperature control strategies match the user's real-time needs.

[0062] Step S103: Based on the temperature control strategy, generate a temperature control command. The temperature control command is used to control the temperature control device to adjust the temperature of the steering wheel.

[0063] This application obtains and integrates user body temperature data and ambient temperature data to ensure that the temperature control strategy matches the user's actual needs in real time. This allows the temperature control strategy to be dynamically applied to complex driving scenarios, such as winter low temperature compensation and nighttime temperature changes, and to adjust the steering wheel temperature to a suitable temperature in a timely manner to avoid affecting the accuracy of operation or other risks due to temperature discomfort.

[0064] In one embodiment, when an abnormal user body temperature is detected, an emergency mode is automatically activated, forcibly adjusting the steering wheel temperature to reduce the user's hand temperature and prevent health risks.

[0065] Specifically, when a user's body temperature data is abnormal, which may pose a danger while driving, the emergency mode is automatically activated to forcibly adjust the steering wheel temperature and reduce the user's hand temperature to help the user cool down.

[0066] In one embodiment, the following steps are included before step S102:

[0067] Obtain the user's vital signs data; vital signs data include blood pressure and heart rate.

[0068] Step S102 specifically includes the following steps:

[0069] The temperature difference between body temperature data and ambient temperature data is obtained.

[0070] Specifically, quantifying the difference between the user's body temperature and the ambient temperature facilitates subsequent temperature control strategies.

[0071] Based on vital sign data, the user's health status is obtained.

[0072] A temperature regulation strategy is generated based on temperature difference values, health status, and temperature thresholds.

[0073] Specifically, multi-dimensional parameters, such as body temperature data, ambient temperature data, health status, and temperature thresholds, are comprehensively analyzed to generate more precise temperature control strategies. For example, when driving in winter, the heating power of the steering wheel is increased through an environmental compensation strategy, while when driving in summer, the cooling power of the function key area is reduced through a health assessment strategy, thereby achieving personalized and scenario-adaptive temperature control.

[0074] In one embodiment, before generating a temperature control strategy based on temperature difference values, health status, and temperature thresholds, the following steps are included:

[0075] Temperature thresholds are determined based on seasonal patterns, day and night times, and physiological cycles.

[0076] Specifically, the temperature control rules are determined according to the current season, such as the minimum temperature threshold in winter mode. In other embodiments, it could also be the minimum heating power threshold. Day and night refers to adjusting the temperature control strategy according to the time cycle. For example, in night mode, the ambient temperature will decrease, and the temperature threshold can be compensated for. Or, during a woman's menstrual cycle, her body temperature is often higher than normal. If the temperature threshold is not adjusted, it will cause discomfort to the user. Therefore, the temperature threshold needs to be adjusted according to the menstrual cycle, for example, to 35 degrees Celsius.

[0077] Users' health data, such as menstrual cycles and blood pressure, lack encryption and privacy protection mechanisms during transmission and storage, posing a risk of data leakage.

[0078] like Figure 2 As shown, Figure 2 This is a schematic diagram of a steering wheel temperature control system provided in one embodiment of this application. In this example, the system is a cloud-based health center. The user uses a watch to achieve real-time, high-precision body temperature detection and uploading, and monitors body temperature. Simultaneously, body temperature data is transmitted to the car via infrared lights and a smart cable reel through remote sensing. The car's body temperature monitoring (infrared) system encrypts the data through TLS and a dynamic key during transmission to ensure user data privacy and security. The data is reported to the cloud-based health center in real time. The cloud-based health center adjusts the user's body temperature to the optimal level and intelligently regulates the temperature. All data transmission is encrypted through TLS and a dynamic key to ensure user data privacy and security.

[0079] In one embodiment, step S101 specifically includes the following steps:

[0080] Body temperature data, menstrual cycle, and health status are encrypted and then transmitted through the communication module.

[0081] Specifically, by dynamically generating keys and using the TLS 1.3 protocol, user health data such as body temperature and blood pressure are transmitted end-to-end with encryption. After training the user data on the local device, only the model parameters are uploaded to the cloud to avoid leakage of the original data.

[0082] Dynamic key mechanisms prevent data leaks caused by the cracking of long-term keys by periodically updating encryption keys, such as generating a new key every 10 minutes. The TLS 1.3 protocol optimizes the handshake process, reducing the number of handshakes to one, thus reducing communication latency while ensuring security. Federated learning mechanisms ensure user health data is always stored locally, with only encrypted model parameters (such as weight matrices) uploaded to the cloud, through localized model training, such as data feature extraction and model parameter updates performed on the in-vehicle computing unit. This example protects user privacy while supporting cross-vehicle data collaborative training, such as aggregating temperature control preferences from multiple vehicle models to improve the generalization ability of the AI ​​model. For example, vehicles deployed in cold regions can share winter heating strategies to optimize the temperature control effect of sedan models while retaining the personalized needs of sedan models, such as rapid cooling in summer.

[0083] In one embodiment, step S102 specifically includes the following steps:

[0084] Calibration parameters are generated by comparing body temperature data output from wearable sensors and infrared temperature measurement modules through a sliding time window.

[0085] Specifically, the system compares body temperature data from the wearable sensor and the infrared temperature measurement module using a sliding time window, calculating a threshold difference between the two. For example, calibration is triggered when the absolute difference exceeds 1°C. The output coefficient of the infrared temperature measurement module is dynamically adjusted based on the Least Mean Square Error (LMS) algorithm to make it more consistent with the wearable sensor data. For instance, if the infrared temperature measurement module's reading is too high due to direct sunlight, the system automatically reduces its output gain to match the data output by the wearable sensor. Optionally, by combining data from the cabin illumination sensor, the system determines whether the infrared temperature measurement module is in a strong light interference environment and triggers a compensation strategy. This compensation strategy involves switching to a wearable sensor-dominated mode, where the temperature data output by the wearable sensor is used as the standard.

[0086] Adjust body temperature data based on calibration parameters and output the adjusted body temperature data.

[0087] A temperature control strategy is generated based on the adjusted body temperature data and ambient temperature data.

[0088] In one embodiment, prior to step S103, the following steps are also included:

[0089] Obtain user feedback data; feedback data includes behavioral feedback data or voice feedback data.

[0090] Based on feedback data and temperature control strategies, temperature control commands are generated.

[0091] Specifically, the system uses in-vehicle cameras to recognize user hand gestures, such as frequent adjustments to the temperature knob, or voice recognition modules to extract user commands, such as "turn up the temperature." This user behavior feedback data or voice feedback data is then used to generate feedback signals. This example's closed-loop user behavior feedback mechanism significantly improves the personalization and adaptability of temperature control by sensing user actions in real time and dynamically optimizing the model. For example, for users who prefer lower temperatures, feedback data quickly adjusts model parameters to avoid temperature discomfort caused by default strategies. Secondly, it can capture latent user needs, such as changes in temperature preference due to driving fatigue, further enhancing the health-oriented nature of temperature control.

[0092] In one embodiment, a universal temperature control model is generated across different vehicle models based on local model parameters of different vehicle models.

[0093] Specifically, within the federated learning framework, local model parameters from different vehicle models are fused using a weighted average algorithm. For example, SUV models have a weight of 40%, and sedan models have a weight of 60%, generating a general model. During model aggregation, feature masking technology preserves the unique characteristics of each vehicle model, preventing model homogenization. Aggregation weights are dynamically adjusted based on vehicle market share and user feedback. For instance, if users report poor temperature control for a particular vehicle model, its weight is reduced to avoid impacting overall model performance. The multi-vehicle federated learning mechanism significantly improves the generalization ability and adaptability of the AI ​​model through cross-domain data collaborative training. For example, SUV models deployed in cold regions can optimize the temperature control effect of sedan models by sharing winter heating strategies, while retaining the personalized needs of sedan models (such as rapid cooling in summer). Under the premise of protecting user privacy, cross-vehicle temperature control strategy optimization is achieved, enhancing the system's market applicability.

[0094] like Figure 3 As shown, Figure 3 This is a schematic diagram of steering wheel temperature control provided in another embodiment of this application. A cloud-based health center integrates the capabilities of temperature sensing experts, health assessment experts, and environmental compensation experts to construct a temperature-intelligent agent. Users interact with the agent through body temperature reporting and real-time human body temperature reporting. The agent provides feedback to the user and generates a personalized temperature preference map, which is generated in real-time. In this example, the temperature-intelligent agent, Deepseek MoE (Multi-Expert Model), processes data from multiple vehicles, forming a federated learning mechanism that integrates data from vehicle 1 and vehicle 2. The temperature prediction data includes seasonal patterns, day-night patterns, and physiological cycle patterns to optimize and adjust the in-vehicle environment, ensuring user comfort.

[0095] like Figure 4 As shown, Figure 4 This is a schematic diagram of a steering wheel temperature control device according to an embodiment of this application. The steering wheel temperature control device 400 includes: an acquisition module 401 for acquiring user body temperature data and ambient temperature data; a generation module 402 for generating a temperature control strategy based on the body temperature data and ambient temperature data; and a processing module 403 for generating a temperature control command based on the temperature control strategy, wherein the temperature control command is used to control the temperature control device to adjust the temperature of the steering wheel.

[0096] In one embodiment, the acquisition module 401 is used to determine a target sampling frequency based on the driving mode; the target sampling frequency corresponds to the driving mode; and the user's body temperature data is acquired based on the target sampling frequency.

[0097] In one embodiment, the generation module 402 is used to acquire the user's vital signs data, including blood pressure and heart rate; and to generate a temperature control strategy based on body temperature data and ambient temperature data, specifically including: acquiring a temperature difference value from the body temperature data and ambient temperature data; acquiring the user's health status based on the vital signs data; and generating a temperature control strategy based on the temperature difference value, health status, and temperature threshold.

[0098] In one embodiment, the generation module 402 is used to determine a temperature threshold based on seasonal patterns, day and night times, and physiological cycles.

[0099] In one embodiment, the processing module 403 is used to encrypt the temperature control command and transmit it to the temperature control device through the communication module.

[0100] In one embodiment, the generation module 402 is used to compare the body temperature data output by the wearable sensor and the infrared temperature measurement module through a sliding time window to generate calibration parameters; adjust the body temperature data based on the calibration parameters and output the adjusted body temperature data; and generate a temperature control strategy based on the adjusted body temperature data and the ambient temperature data.

[0101] In one embodiment, the generation module 402 is used to acquire user feedback data; the feedback data includes behavioral feedback data or voice feedback data; and based on the feedback data and the temperature control strategy, a temperature control command is generated.

[0102] The steering wheel temperature control device 400 provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0103] This application provides an electronic device, including: a memory and a processor;

[0104] The memory stores instructions that the computer executes;

[0105] The processor executes computer execution instructions stored in memory, causing the processor to perform any of the methods described above.

[0106] Figure 5 A schematic diagram of the structure of the electronic device provided in this application. Figure 5 As shown, the electronic device 500 provided in this embodiment includes at least one processor 501 and a memory 502. Optionally, the electronic device 500 further includes a communication component 503. The processor 501, memory 502, and communication component 503 are connected via a bus 504.

[0107] In a specific implementation, at least one processor 501 executes computer execution instructions stored in memory 502, causing at least one processor 501 to perform the above-described method.

[0108] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0109] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0110] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0111] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0112] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0113] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0114] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0115] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an application-specific integrated circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0116] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units 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 indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0117] 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.

[0118] In addition, the functional units in the various embodiments of the present invention 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.

[0119] If a 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 this invention, 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 of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0120] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0121] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for controlling steering wheel temperature, characterized in that, include: Acquire user's body temperature data and ambient temperature data; A temperature control strategy is generated based on the body temperature data and the ambient temperature data. Based on the temperature control strategy, a temperature control command is generated, which is used to control the temperature control device to adjust the temperature of the steering wheel.

2. The method according to claim 1, characterized in that, The acquisition of the user's body temperature data and ambient temperature data specifically includes: The target sampling frequency is determined based on the driving mode; the target sampling frequency corresponds to the driving mode. Based on the target sampling frequency, the user's body temperature data is acquired.

3. The method according to claim 2, characterized in that, Before generating the temperature control strategy based on the body temperature data and the ambient temperature data, the process also includes: Obtain the user's vital signs data; the vital signs data includes blood pressure and heart rate; The temperature control strategy generated based on the body temperature data and the ambient temperature data specifically includes: The temperature difference value is obtained by combining the body temperature data and the ambient temperature data; Based on the vital signs data, the user's health status is obtained; A temperature control strategy is generated based on the temperature difference value, the health status, and the temperature threshold.

4. The method according to claim 3, characterized in that, Before generating a temperature control strategy based on the temperature difference value, the health status, and the temperature threshold, the method further includes: The temperature threshold is determined based on seasonal patterns, day and night time, and physiological cycles.

5. The method according to claim 4, characterized in that, The acquisition of the user's body temperature data and ambient temperature data specifically includes: The body temperature data, the physiological cycle, and the health status are encrypted and then transmitted through the communication module.

6. The method according to claim 1, characterized in that, The temperature control strategy generated based on the body temperature data and the ambient temperature data specifically includes: Calibration parameters are generated by comparing body temperature data output from wearable sensors and infrared temperature measurement modules through a sliding time window. The body temperature data is adjusted based on the calibration parameters, and the adjusted body temperature data is output. A temperature control strategy is generated based on the adjusted body temperature data and the ambient temperature data.

7. The method according to claim 1, characterized in that, Before generating the temperature control command based on the temperature regulation strategy, the method further includes: Obtain user feedback data; the feedback data includes behavioral feedback data or voice feedback data. Based on the feedback data and the temperature control strategy, a temperature control command is generated.

8. A steering wheel temperature control device, characterized in that, include: The acquisition module is used to acquire the user's body temperature data and ambient temperature data; The generation module is used to generate a temperature control strategy based on the body temperature data and the ambient temperature data; The processing module is used to generate a temperature control command based on the temperature regulation strategy. The temperature control command is used to control the temperature regulation device to adjust the temperature of the steering wheel.

9. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-7.

11. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-7.

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