Intelligent adjustment method and device for health state of passenger in vehicle and storage medium

Abstract

The invention discloses an in-vehicle passenger health state intelligent adjustment method and device and a storage medium, and the method comprises the following steps: setting a multi-dimensional health data monitoring module which is used for multi-dimensional data monitoring including in-vehicle environment monitoring and in-vehicle passenger monitoring; an intelligent diagnosis model module is arranged to receive the monitoring data in the multi-dimensional health data monitoring module and evaluate the health state of the current user; a grading response module is arranged, the evaluation result of the intelligent diagnosis model module is received, the evaluation result is analyzed, reminding modes of different emergency degrees are set, and work of a controller in the vehicle is intelligently adjusted or the vehicle is directly taken over; and a personal health record module is arranged and used for storing the multi-dimensional health data, the evaluation result and the grading response measures. By combining a non-contact scheme and a contact scheme, high-frequency continuous monitoring and monitoring accuracy can be considered, diagnosis can be achieved according to the physiological sign state of the passenger in the vehicle, and health diagnosis and prediction of high-risk groups are more timely.

Description

Technical Field

[0001] This invention relates to the field of intelligent diagnostic technology, specifically to a method, device, and storage medium for intelligently adjusting the health status of vehicle occupants. Background Technology

[0002] Current in-vehicle occupant health management technology is in its early stages, with limited industry application examples. It primarily relies on in-vehicle cameras to capture facial visual signals from occupants, then uses intelligent algorithms to calculate their physiological parameters. However, this approach has several drawbacks: First, the monitoring accuracy is poor. When the vehicle is moving, the occupants will sway with the vehicle, which will produce motion artifacts and seriously affect the accuracy of the monitoring. The occupants' makeup, wearing masks, nighttime or poor lighting conditions will also affect the monitoring, causing a large deviation in the physiological baseline and poor health status monitoring. Secondly, the monitoring target is singular. Generally, only a single camera is used to monitor the physiological indicators of a single user, and it is not possible to monitor the physiological indicator levels of multiple users at the same time. Finally, focusing solely on acquiring physiological indicators without diagnosing, regulating, and managing health status leads to users' inability to clearly understand their current physical condition, resulting in poor awareness of potential risks. To address these issues, we propose an intelligent occupant health status adjustment system. Summary of the Invention

[0003] The present invention proposes a method, device and storage medium for intelligent adjustment of the health status of vehicle occupants, which can at least solve one of the technical problems in the background art.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: A method for intelligently adjusting the health status of vehicle occupants includes the following steps: S1. Set up a multi-dimensional health data monitoring module for multi-dimensional data monitoring, including in-vehicle environment monitoring and in-vehicle occupant monitoring; S2. Set up the intelligent diagnostic model module to receive monitoring data from the multidimensional health data monitoring module in step S1 and assess the current health status of the user. S3. Set up a graded response module to receive the evaluation results from the intelligent diagnostic model module in step S2, analyze the evaluation results to set reminder modes with different levels of urgency, intelligently adjust the operation of the in-vehicle controller or directly take over the vehicle to respond to crisis situations. S4. Set up a personal health record module to store multidimensional health data, assessment results and graded response measures from steps S1, S2 and S3, and create independent health records for different users.

[0005] As a preferred embodiment of the intelligent adjustment method for the health status of occupants in a vehicle according to the present invention, the in-vehicle environment monitoring includes temperature, humidity, oxygen content, VOC, and PM2.5 concentration. Temperature and humidity are measured using temperature and humidity sensors integrated into the front HVAC assembly of the air conditioner; VOCs are measured using an air quality sensor integrated into the air duct; and PM2.5 is measured using a PM2.5 sensor. Data measured by the temperature and humidity sensor, air quality sensor, and PM2.5 sensor are all transmitted to the vehicle controller via CAN or LIN signals.

[0006] As a preferred embodiment of the intelligent adjustment method for the health status of in-vehicle occupants described in this invention, the steering wheel-integrated sensor is used as the first data source. The steering wheel integrates bioelectrodes and photoelectric sensors to achieve continuous monitoring of heart rate, heart rate variability, respiratory rate, electrocardiogram, blood pressure, blood oxygen, and pressure status. Using visual signals collected by in-vehicle cameras as the second data source, the in-vehicle occupant monitoring integrates two cameras on the central control screen and the rearview mirror respectively, and simultaneously collects visual signals from the driver and passenger, thereby calculating six physiological indicators: heart rate, heart rate variability, respiratory rate, blood pressure, blood oxygen, and stress status. The monitoring data is aggregated in the vehicle controller, enabling data sharing and interoperability.

[0007] As a preferred embodiment of the intelligent adjustment method for the health status of vehicle occupants according to the present invention, the calculation formula for the occupant health status score in the intelligent diagnostic model module is as follows:

[0008]

[0009]

[0010] in, Total health score; Rate the physiological state; The physiological state score accounts for 50% of the total score. Rate the condition of the vehicle's interior environment; The score for the in-vehicle environment condition accounts for 50% of the overall score. The scores are for heart rate, heart rate variability, blood pressure, respiratory rate, blood oxygen, and stress index, respectively. The scores for heart rate, heart rate variability, and blood pressure each account for 20% of the total score. These three indicators reflect the health status of the cardiovascular system. and The scores for respiratory rate and blood oxygen saturation each account for 15%, and these two indicators reflect the health status of the respiratory system. The stress level score accounts for 10% and reflects the health status of the nervous system. The scores are for the vehicle interior temperature, humidity, oxygen content, VOCs, and PM2.5, respectively. The scores for in-vehicle temperature, humidity, oxygen content, VOC, and PM2.5 each account for 20% of the total score.

[0011] As a preferred embodiment of the intelligent adjustment method for the health status of vehicle occupants described in this invention, the intelligent diagnostic model module provides a diagnostic result of the overall health status based on the total health score, as detailed below: 90≤ ≤100 indicates "excellent" health status; 80≤ <90 indicates a "good" health status; 70≤ <80, health status is "moderate"; <70 indicates a "poor" health status.

[0012] As a preferred embodiment of the intelligent adjustment method for the health status of in-vehicle occupants described in this invention, the graded response module includes three alert modes with different levels of urgency: Level 1 alert, Level 2 alert, and Level 3 alarm; after the multidimensional health data obtained by the sensors is input into the intelligent diagnostic model module, the current health status will be assessed based on the occupant's physiological state.

[0013] As a preferred embodiment of the intelligent adjustment method for the health status of in-vehicle occupants described in this invention, if the graded response module does not identify a significant deviation and the occupant does not explicitly report any abnormality in the current state, it will not trigger a response, but will only record and fine-tune the health baseline. If a minor deviation in physiological indicators is detected, a mild abnormality will be reported, accompanied by a Level 1 alert: a yellow warning sign will flash on the dashboard; gentle, soothing music will play and a safety inquiry will sound; the seatbelt will be slightly tightened and reset; and the refreshing fragrance will be automatically activated. If the occupant does not respond to the inquiry verbally or by pressing a key, the alert is escalated to Level 2: a red warning sign flashes on the HUD and instrument panel; a rapid warning sound is played on the audio system accompanied by a loud audible alert; and the steering wheel vibrates. If the occupants still do not provide effective feedback, the alert will be upgraded to Level 3: the vehicle's automatic driving system will intervene, slowly and automatically decelerate and activate the hazard lights, automatically pull the vehicle to the emergency lane, and connect to the cloud-based rescue platform to send the vehicle's precise location, identification code, accident type, and health data. If passengers provide effective feedback at any stage, the necessary services will be provided dynamically based on the feedback results, and the health baseline data will be updated. If a significant deviation in physiological indicators is detected, a severe abnormality will be reported, and the system will skip the first-level alert and proceed directly to the second-level alert mode.

[0014] As a preferred embodiment of the intelligent adjustment method for the health status of in-vehicle occupants described in this invention, the updated health baseline of the graded response module is recorded in the personal health record module, which improves the accuracy and intelligence of the next intelligent diagnosis and risk response. With the user's consent, the individual's medical data can also be accessed in the online medical big data, and the medical platform can provide personalized health advice based on the trend of individual data changes.

[0015] In another aspect, the present invention also discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the method described above.

[0016] In another aspect, the present invention also discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the method described above.

[0017] The beneficial effects of this invention are: I. Increased monitoring accuracy and scenario adaptability: By combining non-contact and contact solutions, both high-frequency continuous monitoring and monitoring accuracy can be achieved. Although biosensors are more accurate, in some usage scenarios, the posture of continuously holding the steering wheel can cause a burden on the occupants. In this case, using cameras for auxiliary monitoring can lower the user threshold. In addition, the monitoring values ​​of biosensors can serve as the basis for data correction of visual solutions. After accumulating enough comparative data from the two solutions, a physiological health monitoring module without contact sensors can be developed based on this data. At this point, the monitoring solution will balance accuracy, non-invasiveness, and high-frequency continuous monitoring. In certain harsh working conditions, such as bumpy roads and unstable lighting, pure vision solutions are not yet able to accurately monitor physiological signs. Using biosensors to monitor physiological signs in these harsh working conditions can improve scene adaptability. II. Intelligent potential disease diagnosis and prediction function: Compared to current in-vehicle health technologies, the new in-vehicle health regulation system can diagnose and even predict potential risks based on the physiological signs of occupants. Through deep cooperation with medical platforms, it builds in-vehicle medical models adapted to driving scenarios based on clinical medical models, making the diagnostic results more accurate. In addition, this system can associate the diagnostic model with the user to meet the differentiated needs of specific groups, such as cardiovascular patients, long-distance bus drivers, and taxi drivers, and make health diagnosis and prediction for high-risk groups more timely. III. Intelligent tiered response function for addressing risks: This system proposes a tiered response function that links in-vehicle sensors, external sensors, and intelligent driving modules. It alerts occupants to health abnormalities through actuators such as the front HVAC assembly and seats, and intelligently adjusts the in-vehicle environment to alleviate occupants' discomfort. In addition, the tiered response function takes into account both the timeliness and intelligence of the response system, providing users with timely risk response services while avoiding excessive user burden. Attached Figure Description

[0018] Figure 1 This is the overall system logic block diagram of the intelligent adjustment system for the health status of in-vehicle occupants according to the present invention.

[0019] Figure 2 This is a schematic block diagram of the multi-dimensional health data monitoring of the intelligent adjustment system for the health status of vehicle occupants according to the present invention.

[0020] Figure 3 This is a logic block diagram of the hierarchical response module of the intelligent adjustment system for the health status of in-vehicle occupants in this invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0022] like Figures 1-3 As shown in this embodiment, a method for intelligently adjusting the health status of vehicle occupants includes the following steps: S1. Set up a multi-dimensional health data monitoring module for multi-dimensional data monitoring, including in-vehicle environment monitoring and in-vehicle occupant monitoring; S2. Set up the intelligent diagnostic model module to receive monitoring data from the multidimensional health data monitoring module in step S1 and assess the current health status of the user. S3. Set up a graded response module to receive the evaluation results from the intelligent diagnostic model module in step S2, analyze the evaluation results to set reminder modes with different levels of urgency, intelligently adjust the operation of the in-vehicle controller or directly take over the vehicle to respond to crisis situations. S4. Set up a personal health record module to store multidimensional health data, assessment results and graded response measures from steps S1, S2 and S3, and create independent health records for different users.

[0023] The in-vehicle environment monitoring includes temperature, humidity, oxygen content, VOCs, and PM2.5 concentration. Temperature and humidity are measured using temperature and humidity sensors integrated into the front HVAC assembly of the air conditioner; VOCs are measured using an air quality sensor integrated into the air duct; and PM2.5 is measured using a PM2.5 sensor. Data measured by the temperature and humidity sensor, air quality sensor, and PM2.5 sensor are all transmitted to the vehicle controller via CAN or LIN signals.

[0024] Specifically, the steering wheel integrates sensors as the primary data source. The steering wheel integrates bioelectrodes and photoelectric sensors to achieve continuous monitoring of heart rate, heart rate variability, respiratory rate, electrocardiogram, blood pressure, blood oxygen, and stress status. Using visual signals collected by in-vehicle cameras as the second data source, the in-vehicle occupant monitoring integrates two cameras on the central control screen and the rearview mirror respectively, and simultaneously collects visual signals from the driver and passenger, thereby calculating six physiological indicators: heart rate, heart rate variability, respiratory rate, blood pressure, blood oxygen, and stress status. The monitoring data is aggregated in the vehicle controller to achieve data sharing and common operation. When accessing data, the first data source is used first, and the second data source is used only if the first data source is limited.

[0025] Furthermore, the formula for calculating the occupant health status score in the intelligent diagnostic model module is as follows:

[0026]

[0027]

[0028] in, Total health score; Rate the physiological state; The physiological state score accounts for 50% of the total score. Rate the condition of the vehicle's interior environment; The score for the in-vehicle environment condition accounts for 50% of the overall score. The scores are for heart rate, heart rate variability, blood pressure, respiratory rate, blood oxygen, and stress index, respectively. The scores for heart rate, heart rate variability, and blood pressure each account for 20% of the total score. These three indicators reflect the health status of the cardiovascular system. and The scores for respiratory rate and blood oxygen saturation each account for 15%, and these two indicators reflect the health status of the respiratory system. The stress level score accounts for 10% and reflects the health status of the nervous system. The scores are for the vehicle interior temperature, humidity, oxygen content, VOCs, and PM2.5, respectively. The scores for in-vehicle temperature, humidity, oxygen content, VOC, and PM2.5 each account for 20% of the total score.

[0029] Specifically, The scoring rules are shown in Table 1 below. The evaluation indicators are the average physiological signs over a period of time, such as 5 minutes. Heart rate variability is evaluated using SDNN and the standard deviation of all normal sinus intervals. Blood pressure is evaluated using systolic blood pressure. The stress index is evaluated using the rate of change of skin conductance relative to the individual baseline. The data obtained by the contact biosensor monitoring scheme is the primary data source for each physiological indicator, and the data obtained by the visual monitoring scheme is the secondary data source. Table 1 Scoring rules

[0030] The scoring rules are shown in Table 2 below. The evaluation index is the average in-vehicle environment over a period of time, such as 10 minutes. Table 2 Scoring rules

[0031] Depending on the usage scenario, the total health score (H) monitored by the system will be input into the intelligent diagnostic model module, and the data will be corrected according to the specific scenario to give the final diagnostic opinion.

[0032] The intelligent diagnostic model module provides diagnostic results on overall health status based on the total health score, as detailed below: 90≤ ≤100 indicates "excellent" health status; 80≤ <90 indicates a "good" health status; 70≤ <80, health status is "moderate"; <70, health status is "poor"; The proportion of indicators can be dynamically adjusted according to different scenarios and user groups to provide personalized diagnostic services; the following are the reference indicator proportions for four typical working conditions, as shown in Table 3: Table 3. Percentage of Reference Indicators under Four Typical Operating Conditions

[0033] The intelligent diagnostic model module is based on the scoring of a single physiological indicator. , It provides diagnostic results for potential disease states. Based on heart rate and heart rate variability, it can predict arrhythmias, abnormal blood pressure, vascular aging, and exercise-sleep states. Based on blood pressure, it can diagnose hypertension and predict the risk of atherosclerosis, heart failure, and atrial fibrillation. Based on the human stress index and respiratory rate, it can identify human fatigue and stress levels, which helps manage the health of long-distance drivers.

[0034] By linking human health data with in-vehicle environmental data, we can expand diagnostic dimensions and enhance diagnostic sophistication. Combining in-vehicle oxygen levels and human blood oxygen levels allows for more accurate prediction of altitude sickness risk. Combining in-vehicle PM2.5 concentration and human respiratory rate allows for earlier prediction of asthma incidence risk.

[0035] In addition, the vehicle health monitoring system can also use bioelectrodes to acquire human electrocardiogram (ECG) waveforms. By analyzing the peak values ​​of the P wave, QRS wave, and T wave in the ECG, as well as the intervals between each wave segment, it can predict the risk of sudden cardiac death, myocardial ischemia, myocardial infarction, and arrhythmia in passengers.

[0036] The graded response module includes three alert modes with different levels of urgency: Level 1 alert, Level 2 alert, and Level 3 alarm. Multidimensional health data acquired by sensors is input into the intelligent diagnostic model module, which assesses the current health status based on the occupant's physiological state.

[0037] Specifically, if the graded response module does not identify any obvious deviation and the occupants do not explicitly report any abnormality in the current state, it will not trigger a response, but will only record and fine-tune the health baseline. If a minor deviation in physiological indicators is detected, a mild abnormality will be reported, accompanied by a Level 1 alert: a yellow warning sign will flash on the dashboard; gentle, soothing music will play and a safety inquiry will sound; the seatbelt will be slightly tightened and reset; and the refreshing fragrance will be automatically activated. If the occupant does not respond to the inquiry verbally or by pressing a key, the alert is escalated to Level 2: a red warning sign flashes on the HUD and instrument panel; a rapid warning sound is played on the audio system accompanied by a loud audible alert; and the steering wheel vibrates. If the occupants still do not provide effective feedback, the alert will be upgraded to Level 3: the vehicle's automatic driving system will intervene, slowly and automatically decelerate and activate the hazard lights, automatically pull the vehicle to the emergency lane, and connect to the cloud-based rescue platform to send the vehicle's precise location, identification code, accident type, and health data. If passengers provide effective feedback at any stage, the necessary services are provided dynamically based on the feedback results, and the health baseline data is updated.

[0038] If a significant deviation in physiological indicators is detected, a severe abnormality will be reported, and the system will skip the first-level alert and proceed directly to the second-level alert mode.

[0039] Furthermore, the updated health baseline from the tiered response module will be recorded in the personal health record module, improving the accuracy and intelligence of the next intelligent diagnosis and risk response. With the user's consent, the individual's medical data can also be connected to the online medical big data, and the medical platform can provide personalized health advice based on the trend of individual data changes.

[0040] In another aspect, the present invention also discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the method described above.

[0041] In another aspect, the present invention also discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the method described above.

[0042] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute any of the intelligent adjustment methods for the health status of vehicle occupants in the above embodiments.

[0043] It is understood that the systems, devices, and storage media provided in the embodiments of the present invention correspond to the methods provided in the embodiments of the present invention, and the explanations, examples, and beneficial effects of the relevant content can be referred to the corresponding parts of the above methods.

[0044] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., a solid-state disk (SSD)).

[0045] 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, 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 limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0046] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0047] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligently adjusting the health status of vehicle occupants, characterized in that, Includes the following steps: S1. Set up a multi-dimensional health data monitoring module for multi-dimensional data monitoring, including in-vehicle environment monitoring and in-vehicle occupant monitoring; S2. Set up the intelligent diagnostic model module to receive monitoring data from the multidimensional health data monitoring module in step S1 and assess the current health status of the user. S3. Set up a graded response module to receive the evaluation results from the intelligent diagnostic model module in step S2, analyze the evaluation results to set reminder modes with different levels of urgency, intelligently adjust the operation of the in-vehicle controller or directly take over the vehicle to respond to crisis situations. S4. Set up a personal health record module to store multidimensional health data, assessment results and graded response measures from steps S1, S2 and S3, and create independent health records for different users.

2. The intelligent adjustment method for the health status of vehicle occupants according to claim 1, characterized in that: The in-vehicle environment monitoring includes temperature, humidity, oxygen content, VOC, and PM2.5 concentration; Temperature and humidity are measured using temperature and humidity sensors integrated into the front HVAC assembly of the air conditioner; VOCs are measured using an air quality sensor integrated into the air duct; and PM2.5 is measured using a PM2.5 sensor. Data measured by the temperature and humidity sensor, air quality sensor, and PM2.5 sensor are all transmitted to the vehicle controller via CAN or LIN signals.

3. The intelligent adjustment method for the health status of vehicle occupants according to claim 1, characterized in that: Using sensors integrated into the steering wheel as the primary data source, the steering wheel integrates bioelectrodes and photoelectric sensors to achieve continuous monitoring of heart rate, heart rate variability, respiratory rate, electrocardiogram, blood pressure, blood oxygen, and stress status. Using visual signals collected by in-vehicle cameras as the second data source, the in-vehicle occupant monitoring integrates two cameras on the central control screen and the rearview mirror respectively, and simultaneously collects visual signals from the driver and passenger, thereby calculating six physiological indicators: heart rate, heart rate variability, respiratory rate, blood pressure, blood oxygen, and stress status. The monitoring data is aggregated in the vehicle controller, enabling data sharing and interoperability.

4. The intelligent adjustment method for the health status of vehicle occupants according to claim 3, characterized in that: The intelligent diagnostic model module uses the following formula to calculate the occupant health status score: in, Total health score; Rate the physiological state; The physiological state score accounts for 50% of the total score. Rate the condition of the vehicle's interior environment; The score for the in-vehicle environment condition accounts for 50% of the overall score. The scores are for heart rate, heart rate variability, blood pressure, respiratory rate, blood oxygen, and stress index, respectively. The scores for heart rate, heart rate variability, and blood pressure each account for 20% of the total score. These three indicators reflect the health status of the cardiovascular system. and The scores for respiratory rate and blood oxygen saturation each account for 15%, and these two indicators reflect the health status of the respiratory system. The stress level score accounts for 10% and reflects the health status of the nervous system. The scores are for the vehicle interior temperature, humidity, oxygen content, VOCs, and PM2.5, respectively. The scores for in-vehicle temperature, humidity, oxygen content, VOC, and PM2.5 each account for 20% of the total score.

5. The intelligent adjustment method for the health status of vehicle occupants according to claim 4, characterized in that: The intelligent diagnostic model module provides diagnostic results on overall health status based on the total health score, as detailed below: 90≤ ≤100 indicates "excellent" health status; 80≤ <90 indicates a "good" health status; 70≤ <80, health status is "moderate"; <70 indicates a "poor" health status.

6. The intelligent adjustment method for the health status of vehicle occupants according to claim 5, characterized in that: The tiered response module includes three alert modes with different levels of urgency: Level 1 alert, Level 2 alert, and Level 3 alarm. The multidimensional health data acquired by the sensors is input into the intelligent diagnostic model module, which assesses the current health status of the occupants based on their physiological state.

7. The intelligent adjustment method for the health status of vehicle occupants according to claim 6, characterized in that: If the graded response module does not identify a significant deviation and the occupants do not explicitly report any abnormality in the current state, it will not trigger a response, but will only record and fine-tune the health baseline. If a minor deviation in physiological indicators is detected, a mild abnormality will be reported, accompanied by a Level 1 alert: a yellow warning sign will flash on the dashboard; gentle, soothing music will play and a safety inquiry will sound; the seatbelt will be slightly tightened and reset; and the refreshing fragrance will be automatically activated. If the occupant does not respond to the inquiry verbally or by pressing a key, the alert level is escalated to Level 2: the HUD and instrument panel flash red warning signs; the audio system plays a rapid warning sound accompanied by a loud prompt. Steering wheel vibration; If the occupants still do not provide effective feedback, the alert will be upgraded to Level 3: the vehicle's automatic driving system will intervene, slowly and automatically decelerate and activate the hazard lights, automatically pull the vehicle to the emergency lane, and connect to the cloud-based rescue platform to send the vehicle's precise location, identification code, accident type, and health data. If passengers provide effective feedback at any stage, the necessary services will be provided dynamically based on the feedback results, and the health baseline data will be updated. If a significant deviation in physiological indicators is detected, a severe abnormality will be reported, and the system will skip the first-level alert and proceed directly to the second-level alert mode.

8. The intelligent adjustment method for the health status of vehicle occupants according to claim 7, characterized in that: The updated health baseline from the tiered response module will be recorded in the personal health record module, improving the accuracy and intelligence of the next intelligent diagnosis and risk response. With the user's consent, the individual's medical data can also be accessed in the online medical big data, and the medical platform can provide personalized health advice based on the trend of individual data changes.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it causes the processor to perform the steps of the method as described in any one of claims 1 to 8.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the computer program is executed by the processor, it causes the processor to perform the steps of the method as described in any one of claims 1 to 8.

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