Vehicle-mounted personnel health dynamic monitoring method and device, computer equipment and medium

Abstract

The embodiment of the invention discloses a vehicle-mounted personnel health dynamic monitoring method and device, computer equipment and a medium. The method comprises the following steps: filling a health index detection item of a detection chain corresponding to a preset dynamic detection model with multiple groups of obtained health condition acquisition and detection parameters in body condition monitoring information corresponding to a to-be-detected person; judging whether the health condition acquisition and detection parameters conform to a preset preliminary screening rule or not; if the health condition acquisition and detection parameters conform to the preliminary screening rule, marking the health condition acquisition and detection parameters as initial qualified parameters; judging whether the initial qualified parameters in each health index detection item meet a preset health index reinspection rule or not; and if the initial qualified parameters conform to the health index reinspection rule, marking the initial qualified parameters as reinspection target parameters. The method provided by the embodiment of the invention has the effects that accurate, real-time, personalized and safe health monitoring is realized, and the driving safety and the user experience are greatly improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent driving technology, and particularly to a method, device, computer device and medium for dynamically monitoring the health of vehicle occupants. Background Art

[0002] Existing in-vehicle health monitoring technologies mainly include portable devices such as smart bracelets and smart watches, which can monitor basic health data of users such as heart rate and blood pressure. In high-end models, some vehicles are equipped with built-in health monitoring systems that can track the physiological state of the driver through sensors in the vehicle, such as heart rate changes and breathing frequency. In addition, some systems can also analyze the driver's behavior patterns, such as eye gaze and steering wheel operation, to judge the driver's fatigue level. However, these systems usually lack personalized analysis and real-time risk assessment functions, and the emergency response mechanism in case of emergency is not yet perfect, and cannot provide accurate and reasonable health status information notification services that match the urgency of the physical condition for vehicle occupants. Summary of the Invention

[0003] Embodiments of the present application provide a method, device, computer device and medium for dynamically monitoring the health of vehicle occupants, aiming to protect the people in the cockpit from dynamic health condition monitoring during driving.

[0004] In a first aspect, an embodiment of the present application provides a method for dynamically monitoring the health of vehicle occupants, which includes: filling multiple groups of health condition detection parameters in the health index detection items of the corresponding detection chain of a preset dynamic detection model with the obtained health condition monitoring information corresponding to the person to be detected; the dynamic detection model includes several detection chains, each detection chain correspondingly includes a health index detection item corresponding to the person to be detected, and each health index detection item corresponds to a group of health condition detection parameters; judging whether the health condition detection parameters meet a preset preliminary screening rule; if the health condition detection parameters meet the preliminary screening rule, marking the health condition detection parameters as initial qualified parameters; judging whether the initial qualified parameters in each health index detection item meet a preset health index recheck rule; if the initial qualified parameters meet the health index recheck rule, marking the initial qualified parameters as recheck target parameters; marking the detection chain containing the recheck target parameters as a project qualified detection chain, and adding all the obtained project qualified detection chains to a project confirmation library; generating a health status reminder information according to the health index detection items corresponding to the project qualified detection chains in the project confirmation library.

[0005] In a second aspect, an embodiment of the present application further provides an in-vehicle personnel health dynamic monitoring device, which includes: a monitoring information classification unit for filling multiple groups of health condition detection parameters in the monitoring information of the corresponding physical condition of the person to be detected into the health index detection items of the corresponding detection chain of a preset dynamic detection model; a first judgment unit for judging whether the health condition detection parameters meet a preset preliminary screening rule; a first marking unit for marking the health condition detection parameters as initial qualified parameters if the health condition detection parameters meet the preliminary screening rule; a second judgment unit for judging whether the initial qualified parameters in each health index detection item meet a preset health index recheck rule; a second marking unit for marking the initial qualified parameters as recheck target parameters if the initial qualified parameters meet the health index recheck rule; a third marking unit for marking the detection chain containing the recheck target parameters as a project qualified detection chain and adding all the obtained project qualified detection chains to a project confirmation library; and a reminder unit for generating a health status reminder information according to the health index detection items corresponding to the project qualified detection chains in the project confirmation library.

[0006] In a third aspect, an embodiment of the present application further provides a computer device, which includes a memory and a processor. A computer program is stored on the memory, and when the processor executes the computer program, the above method is implemented.

[0007] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium. A computer program is stored on the storage medium, and the computer program includes program instructions, and when the program instructions are executed by the processor, the above method can be implemented.

[0008] The embodiments of the present application provide a method, device, computer device and medium for dynamically monitoring the health of vehicle occupants. Among them, the method includes filling multiple groups of health status detection parameters in the health index detection items of the corresponding detection chain of a preset dynamic detection model with the obtained health status monitoring information corresponding to the person to be detected; the dynamic detection model includes several detection chains, each detection chain correspondingly includes a health index detection item corresponding to the person to be detected, and each health index detection item corresponds to a group of health status detection parameters; determining whether the health status detection parameters meet the preset preliminary screening rules; if the health status detection parameters meet the preliminary screening rules, marking the health status detection parameters as initial qualified parameters; determining whether the initial qualified parameters in each health index detection item meet the preset health index recheck rules; if the initial qualified parameters meet the health index recheck rules, marking the initial qualified parameters as recheck target parameters; marking the detection chain containing the recheck target parameters as a project qualified detection chain, and adding all the obtained project qualified detection chains to the project confirmation library; generating a health status reminder information according to the health index detection items corresponding to the project qualified detection chains in the project confirmation library. The above solution, as the core technical effect of the vehicle-mounted personalized health monitoring system, is reflected in high-precision monitoring, real-time risk assessment, personalized reminder, comprehensive status judgment, optimized emergency response, data security protection, and system adaptability and flexibility, realizing accurate, real-time, personalized and secure health monitoring, and greatly improving driving safety and user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0010] Figure 1 It is a schematic flow chart of the method for dynamically monitoring the health of vehicle occupants provided by the embodiments of the present application;

[0011] Figure 2 It is a schematic sub-flow chart of the method for dynamically monitoring the health of vehicle occupants provided by the embodiments of the present application;

[0012] Figure 3 It is another schematic sub-flow chart of the method for dynamically monitoring the health of vehicle occupants provided by the embodiments of the present application;

[0013] Figure 4 It is a schematic block diagram of the device for dynamically monitoring the health of vehicle occupants provided by the embodiments of the present application;

[0014] Figure 5 It is a schematic block diagram of the computer device provided by the embodiments of the present application. Detailed implementation manners

[0015] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0016] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0017] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification of the present application and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0018] It should be further understood that the term " / and / " used in the specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0019] The embodiments of the present application provide a method, device, computer device, and medium for dynamically monitoring the health of vehicle occupants.

[0020] The execution subject of the method for dynamically monitoring the health of vehicle occupants can be the device for dynamically monitoring the health of vehicle occupants provided in the embodiments of the present application. Among them, the device for dynamically monitoring the health of vehicle occupants can be implemented in a hardware or software manner, and the device is configured in a system for dynamically monitoring the health of vehicle occupants. The system for dynamically monitoring the health of vehicle occupants includes a server, a serial port communicator, and a health status information broadcaster. The serial port communicator is respectively communicatively connected to the vehicle head unit to be upgraded, the server, and the health status information broadcaster. The system for dynamically monitoring the health of vehicle occupants applies the method for dynamically monitoring the health of vehicle occupants, and the above method is executed by the unit modules configured in the above device. Among them, the server can be a computer device, and both the server and the serial port communicator can be implemented as Figure 5 the computer device shown.

[0021] The method for dynamically monitoring the health of vehicle occupants is applied to Figure 5 the computer device 500 in.

[0022] Figure 1 It is a schematic flowchart of the vehicle occupant health dynamic monitoring method provided by an embodiment of the present application. The method includes the following steps S110 - S170.

[0023] S110. Fill multiple groups of health condition sampling parameters in the health index detection items of the corresponding detection chain of the preset dynamic detection model from the obtained health condition monitoring information corresponding to the person to be detected.

[0024] The dynamic detection model includes several detection chains. Each detection chain correspondingly includes a health index detection item corresponding to the person to be detected, and each health index detection item corresponds to a group of health condition sampling parameters.

[0025] S120. Determine whether the health condition sampling parameters meet the preset preliminary screening rules.

[0026] S130. If the health condition sampling parameters meet the preliminary screening rules, mark the health condition sampling parameters as initially qualified parameters.

[0027] S140. Determine whether the initially qualified parameters in each health index detection item meet the preset health index re - inspection rules.

[0028] S150. If the initially qualified parameters meet the health index re - inspection rules, mark the initially qualified parameters as re - inspection target parameters.

[0029] S160. Mark the detection chain containing the re - inspection target parameters as a project - qualified detection chain, and add all the obtained project - qualified detection chains to the project confirmation library.

[0030] S170. Generate a health status reminder message according to the health index detection items corresponding to the project - qualified detection chains in the project confirmation library.

[0031] In more specific implementation processes, the functions of existing in-vehicle personnel health monitoring devices cannot be deeply integrated with the vehicle head unit system, making it difficult to achieve data linkage and abnormal reminders. The technical solution involves installing sensors inside the vehicle seats to monitor not only the driver but also the health conditions of all passengers. This ensures that the health conditions of every member in the in-vehicle environment can be monitored, thereby improving overall safety. The obtained health condition sampling parameters are filled into a preset dynamic detection model, which contains multiple detection chains, and each detection chain corresponds to a health index detection item. Through the dynamic detection model, multiple groups of health data can be analyzed in real time, improving the accuracy and timeliness of monitoring. The health condition sampling parameters are initially screened, and the parameters that meet the rules are marked as initially qualified parameters, and further judgment is made to determine whether they meet the health index recheck rules. Through screening and recheck, false alarms and missed reports are effectively reduced, ensuring the accurate identification of health hazards. The detection chains marked as recheck target parameters are added to the project confirmation library, and health status reminder information is generated based on this data. By deeply integrating the health monitoring data with the vehicle head unit system, data linkage is achieved, and health reminders can be provided to the driver and passengers in a timely manner. Through the dynamic detection model and multi-level screening rules, the technical solution significantly improves the accuracy of health monitoring data and reduces false alarms and missed reports. The technical solution can monitor the health conditions of in-vehicle personnel in real time and generate reminder information immediately when abnormalities are detected, providing immediate health feedback to the driver and passengers. The technical solution supports driver login, automatically switches to the corresponding health record, realizes personalized health management, and improves the user experience. When abnormal fluctuations in heart rate or drastic changes in blood pressure are detected, the system can automatically enter the emergency mode, providing functions such as voice reminders and navigation to the nearest hospital, significantly improving the emergency response ability. The technical solution ensures the security and privacy of in-vehicle personnel health data through encryption technology and strict privacy protection policies. In summary, the above technical solution effectively solves the problem in the existing technology that health hazards cannot be accurately reported to in-vehicle personnel. Through a series of innovative monitoring and analysis methods, the performance and practicality of the in-vehicle health monitoring system are significantly improved.

[0032] The health condition inspection parameters (such as heart rate, blood pressure, blood oxygen saturation, etc.) collected by the monitoring system in this solution are input into the dynamic detection model. Ensure that each health indicator has a corresponding detection chain and items, providing a data basis for subsequent analysis. Conduct a preliminary screening of the input parameters to exclude those that are clearly outside the normal physiological range. Reduce the amount of data for subsequent processing, improving the efficiency and accuracy of the system. For the parameters that pass the preliminary screening, mark them as initially qualified parameters. Identify the parameters that may require further analysis to prepare for re-inspection. Conduct a more in-depth analysis of the data marked as initially qualified parameters to check whether they meet the more stringent health index re-inspection rules. Further confirm the accuracy of the parameters and reduce false alarms. For the parameters that pass the re-inspection rules, mark them as re-inspection target parameters. Ensure that only the parameters that have passed double verification are used to generate health reminders. Mark the detection chain containing the re-inspection target parameters as a project qualified detection chain and add it to the project confirmation library. Establish a reliable database containing all the verified health data for generating the final reminder information. Generate health status reminder information based on the project qualified detection chains in the project confirmation library. Provide real-time health status feedback to the driver and passengers to ensure that they can be notified and take actions in a timely manner when health problems occur. Ensure the accuracy of the monitoring data through multi-level screening and re-inspection. The dynamic detection model can process data in real time and generate health reminders in a timely manner. Provide personalized health management by monitoring the specific health indicators of the person to be tested. When a health abnormality is detected, the system can respond quickly and provide necessary emergency measures and suggestions. Overall, this technical process provides a comprehensive, efficient and reliable solution for the in-vehicle health monitoring system.

[0033] Through a preset dynamic detection model and multiple detection chains, the solution can comprehensively monitor the health examination parameters specific to each vehicle occupant's health condition, achieving personalized health data collection and analysis. By adopting preliminary screening rules and health index reexamination rules, the solution effectively improves the accuracy and reliability of monitoring data, reducing false alarms and missed detections. Real-time feedback and health reminders: The system can process and analyze health data in real time. Once an anomaly is detected, it immediately generates a health status reminder message, providing immediate health feedback to vehicle occupants. When an abnormal health indicator is detected, the system can quickly enter the emergency mode, significantly enhancing the emergency response speed and effectiveness through voice reminders, navigation to medical institutions, etc. The solution integrates the health monitoring system into the vehicle system, achieving deep integration and data linkage with the in-vehicle system, enhancing the overall intelligence level of the vehicle. By adopting encryption technology and strict privacy protection measures, the solution ensures the security and privacy of vehicle occupants' health data, reducing the risk of data leakage. The solution takes into account the characteristics of the driving environment. Through designs such as sensors built into the seat, there is no need for users to actively wear devices, improving the adaptability and convenience of monitoring devices in the driving scenario.

[0034] In summary, through a series of innovative technical means, this solution provides an accurate, timely, and secure health monitoring solution for vehicle occupants, effectively enhancing driving safety and passenger health protection.

[0035] In a more specific embodiment, when executing method S110, it further specifically includes executing steps S111 - S112.

[0036] S111. Classify the health examination parameters in the obtained physical condition monitoring information to obtain physical monitoring item classification parameters corresponding to each category.

[0037] S112. Fill the physical monitoring item classification parameters corresponding to each category into the health indicator detection items of the detection chain corresponding to each category in the dynamic detection model.

[0038] Specifically, in a more specific embodiment, the body condition monitoring information obtained by in-vehicle sensors is collected. Such information may include, but is not limited to, heart rate, blood pressure, blood oxygen saturation, body temperature, etc. According to different health condition detection parameters, the collected information is classified. For example, the parameters can be classified into cardiovascular health category, respiratory health category, body temperature category, etc. A unique identifier is assigned to each category to form the classification parameters of body monitoring items. Through category division, the orderly management of monitoring information is ensured, facilitating subsequent model processing and analysis. The pertinence and efficiency of monitoring are improved because different categories of health indicators may require different detection models and thresholds. According to the classification parameters of body monitoring items obtained in step S111, these parameters are respectively filled into the health indicator detection items of the corresponding detection chains in the dynamic detection model. Ensure that each detection chain includes all necessary health indicator detection items of the corresponding category for comprehensive analysis. For the cardiovascular health category, relevant health condition detection parameters (such as heart rate, blood pressure) will be filled into the corresponding items of the cardiovascular health detection chain. For the respiratory health category, parameters (such as respiratory rate, blood oxygen saturation) will be filled into the corresponding items of the respiratory health detection chain. In this way, the dynamic detection model can conduct special monitoring and analysis for different categories of health indicators. By filling the classification parameters into the dynamic detection model, the comprehensiveness and accuracy of monitoring are ensured. The system can conduct customized monitoring and analysis according to different health indicator categories, thus providing a more accurate health assessment. Through these specific steps, this solution can monitor the health condition of in-vehicle personnel more meticulously and precisely, promptly discover potential health hazards, and take corresponding measures, thereby significantly improving the practicability and effectiveness of the in-vehicle health monitoring system.

[0039] In a more specific embodiment, when implementing method S120, it further specifically includes implementing steps S121 - S122.

[0040] S121. According to the preset health condition monitoring items, the urgency levels of each health condition detection parameter are divided respectively to obtain the urgency levels corresponding to each health condition monitoring item as the parameter urgency level information.

[0041] S122. Configure the parameter urgency level information into the preliminary screening rule.

[0042] Specifically, in a more specific embodiment, for preset health condition monitoring items (such as heart rate, blood pressure, blood oxygen saturation, etc.), different urgency levels are set for each item according to the clinical significance and potential risks of each item. The urgency level can be divided according to the abnormal degree of health parameters and possible health risks. For example, it can be divided into three levels: "low urgency", "medium urgency", and "high urgency". For each health condition detection parameter, its urgency level is determined according to the deviation between its real-time monitoring value and the normal range. Through the division of urgency levels, it can be quickly identified which changes in health parameters need to be immediately concerned and processed, and which can be processed later or only used as monitoring records. Integrate the parameter urgency level information obtained in step S121 into the preliminary screening rule. The preliminary screening rule will determine which parameters need to be marked as initially qualified parameters and which parameters need further analysis or immediate action according to the urgency level information. For example, if a heart rate parameter is classified as the "high urgency" level, then the preliminary screening rule will ensure that this parameter is given priority in the preliminary screening, and if it exceeds the normal range, it will immediately trigger the subsequent processing flow. For parameters with the "low urgency" level, the preliminary screening rule may allow a larger deviation range, or use the monitoring results of these parameters as reference information instead of taking immediate action. By configuring the urgency level information, the preliminary screening rule can process the monitoring data more intelligently and flexibly, ensuring that the system can quickly respond to the most critical health risks. This method improves the efficiency and response speed of the system, while also reducing false alarms and unnecessary interventions. Through these steps, the on-vehicle personnel health dynamic monitoring method can more effectively identify and process potential health risks, thereby improving the overall performance of the system and the safety guarantee of passengers.

[0043] In a more specific embodiment, when executing method S140, it further specifically includes the following steps: Use the health condition detection parameters that reach the corresponding parameter urgency lower limit level in the health index recheck rule, and the heart rate parameter, blood pressure parameter, and fatigue assessment parameter included in the parameter urgency lower limit level as the initially qualified parameters. Determine whether the initially qualified parameters reach the parameter relaxation upper limit level; and further, if the initially qualified parameters do not reach the parameter relaxation upper limit level, send the corresponding initially qualified parameters to a preset recovery library for re-evaluation.

[0044] Specifically, from the health condition inspection parameters, those parameters that reach or exceed the "urgent lower limit level" defined in the health index re-inspection rule are screened out. These parameters are usually those indicators that indicate a relatively high health risk, such as heart rate parameters, blood pressure parameters, and fatigue assessment parameters. The "urgent lower limit level" means that the parameter value has reached a level that requires attention, but has not reached the level that requires immediate emergency measures. Ensure that those parameters that may indicate health problems can be further analyzed and evaluated. Determine whether the initial qualified parameters reach the parameter relaxation upper limit level. For the health condition inspection parameters that have been marked as initial qualified parameters, further determine whether they reach the "parameter relaxation upper limit level". This level means that although the parameter value is abnormal, it is still within the controllable range and does not require immediate emergency measures. If the parameter value exceeds the "relaxation upper limit level", it may be necessary to trigger a higher-level response measure. Through this step, it can be distinguished which parameters, although abnormal, are still within the safe range, and which parameters may require more urgent attention. For those initial qualified parameters that do not reach the "relaxation upper limit level", the system sends them to a preset recovery library. The recovery library is a data warehouse used to store and re-evaluate parameter values, which allows the system to re-analyze these parameters at a later time point. Through re-evaluation, the system can more accurately judge the change trend of the parameters and avoid triggering unnecessary emergency responses due to momentary abnormalities. This method helps to reduce false alarms and ensure that all potential health risks are given appropriate attention and treatment. Through these steps, the on-vehicle personnel health dynamic monitoring method can not only quickly identify and handle urgent health conditions, but also effectively manage and track those situations that are not so urgent but worthy of attention, thereby improving the overall efficiency of the system and the safety guarantee of passengers.

[0045] In a more specific embodiment, after executing method S170, it further specifically includes the following steps: If the number of qualified inspection chains of items in the project confirmation library is not equal to the total number of inspection chains in the dynamic detection model, then rate the re-inspection target parameters in the qualified inspection chains of items to obtain a rating result. In addition, further, if the proportion of the number of re-inspection target parameters that meet the preset final rating standard in the rating result is higher than the preset rating ratio, then it is determined that the person to be tested is in a qualified physical state.

[0046] Specifically, in the project confirmation library, count the number of qualified detection chains for the project. Compare this number with the total number of detection chains in the dynamic detection model. Determine whether any health indicator detection projects fail the initial screening and recheck, which may indicate unconfirmed health problems. For each qualified detection chain of the project in the project confirmation library, rate its recheck target parameters. The rating may be based on factors such as the abnormality degree, duration, change trend, etc. of the parameters. The rating result can be quantitative or qualitative. For example, descriptive levels such as "mild", "moderate", "severe", etc. can be used, or specific scores can be used. Through the rating, the system can more finely evaluate the health status of vehicle occupants and provide more detailed information for subsequent decision-making. According to the preset final rating standard, count the number of recheck target parameters that meet the standard. Calculate the proportion of the number of parameters that meet the standard in the total number of all recheck target parameters. Determine whether there are enough health indicators indicating that the physical state of the person to be detected is qualified. If the proportion of the number of recheck target parameters that meet the final rating standard is higher than the preset rating ratio, it is determined that the physical state of the person to be detected is qualified. If the proportion is lower than the preset rating ratio, further health assessments or corresponding health intervention measures may be required. Through this step, the system can make a final judgment on the physical state of the person to be detected based on comprehensive health data, thereby providing more reliable health status reminder information. Through these steps, the vehicle occupant health dynamic monitoring method can not only monitor and evaluate the health status in real time, but also provide a more accurate health status judgment for drivers and passengers through the comprehensive rating system, further improving the practicality of the vehicle health monitoring system and the safety guarantee of passengers.

[0047] Figure 4 It is a schematic block diagram of a vehicle occupant health dynamic monitoring device provided by an embodiment of the present application. As shown in the figure, corresponding to the above vehicle occupant health dynamic monitoring method, the present application also provides a vehicle occupant health dynamic monitoring device 100. The vehicle occupant health dynamic monitoring device includes units for executing the above vehicle occupant health dynamic monitoring method, and the device can be configured in terminals such as desktop computers, tablet computers, laptops, etc. Specifically, please refer to Figure 4, the in-vehicle personnel health dynamic monitoring device 100 includes a monitoring information classification unit 110, which is used to fill multiple groups of health status sampling parameters in the monitoring information of the corresponding physical condition of the person to be detected into the health index detection items of the corresponding detection chain of a preset dynamic detection model; a first judgment unit 120, which is used to judge whether the health status sampling parameters meet a preset preliminary screening rule; a first marking unit 130, which is used to mark the health status sampling parameters as initial qualified parameters if the health status sampling parameters meet the preliminary screening rule; a second judgment unit 140, which is used to judge whether the initial qualified parameters in each health index detection item meet a preset health index recheck rule; a second marking unit 150, which is used to mark the initial qualified parameters as recheck target parameters if the initial qualified parameters meet the health index recheck rule; a third marking unit 160, which is used to mark the detection chain containing the recheck target parameters as a project qualified detection chain, and add all the obtained project qualified detection chains to a project confirmation library; a reminder unit 170, which is used to generate a health status reminder information according to the health index detection items corresponding to the project qualified detection chains in the project confirmation library. Specifically, the monitoring information classification unit includes a parameter classification unit, which is used to classify the health status sampling parameters in the obtained physical condition monitoring information to obtain physical monitoring item classification parameters corresponding to each category; a parameter filling unit, which is used to fill the physical monitoring item classification parameters corresponding to each category into the health index detection items of the detection chain corresponding to each category in the dynamic detection model. Further, the first judgment unit includes an urgency level classification unit, which is used to classify the urgency level of each health status sampling parameter according to a preset health status monitoring item to obtain the urgency level corresponding to each health status monitoring item as parameter urgency level information; an information configuration unit, which is used to configure the parameter urgency level information in the preliminary screening rule.

[0048] It should be noted that those skilled in the art can clearly understand that the specific implementation processes of the above in-vehicle personnel health dynamic monitoring device and each unit can refer to the corresponding descriptions in the foregoing method embodiments. For the convenience and brevity of description, they will not be repeated here.

[0049] The above in-vehicle personnel health dynamic monitoring device can be implemented in the form of a computer program, and the computer program can run on a computer device as shown in Figure 5 shown.

[0050] Please refer to Figure 5, which shows a schematic block diagram of a computer device provided by an embodiment of the present application. The computer device 500 can be a terminal or a server. Among them, the execution subject of the vehicle-mounted personnel health dynamic monitoring method can be the vehicle-mounted personnel health dynamic monitoring device provided by an embodiment of the present application. Among them, the vehicle-mounted personnel health dynamic monitoring device can be implemented in a hardware or software manner and is configured in the vehicle-mounted personnel health dynamic monitoring system. The vehicle-mounted personnel health dynamic monitoring system includes a server, a serial port communicator, and a health status information broadcaster. The serial port communicator is respectively communicatively connected to the vehicle-mounted computer to be upgraded, the server, and the health status information broadcaster. The vehicle-mounted personnel health dynamic monitoring system applies the above vehicle-mounted personnel health dynamic monitoring method, and the above method is executed by the unit modules configured in the above device. Among them, the server can be a computer device, and both the server and the serial port communicator can be implemented as a computer device as shown in Figure 5 shown.

[0051] The computer device 500 includes a processor 502, a memory, and a network interface 505 connected through a system bus 501. Among them, the memory can include a non-volatile storage medium 503 and an internal memory 504.

[0052] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions. When the program instructions are executed, the processor 502 can be made to execute a vehicle-mounted personnel health dynamic monitoring method.

[0053] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500.

[0054] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can be made to execute a vehicle-mounted personnel health dynamic monitoring method.

[0055] The network interface 505 is used for network communication with other devices. Those skilled in the art can understand that Figure 5 the structure shown in is only a block diagram of some structures related to the solution of the present application and does not constitute a limitation on the computer device 500 to which the solution of the present application is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0056] It should be understood that in the embodiments of the present application, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0057] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, and the storage medium is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiments of the above methods.

[0058] Therefore, the present application also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program, where the computer program includes program instructions. When the program instructions are executed by the processor, the processor executes the steps of the above methods.

[0059] The storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, an optical disk, or other computer-readable storage media that can store program codes.

[0060] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0061] In several embodiments provided by the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0062] The steps in the method embodiments of the present application can be adjusted, combined, and deleted according to actual needs. The units in the device embodiments of the present application can be combined, divided, and deleted according to actual needs. In addition, the functional units in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0063] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a terminal, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application.

[0064] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for dynamic health monitoring of vehicle personnel, characterized in that: include: Filling multiple groups of health status collection and inspection parameters in the acquired physical condition monitoring information corresponding to the person to be detected into the health indicator detection items in the detection chain corresponding to the preset dynamic detection model; the dynamic detection model includes a plurality of detection chains, each of which includes a health indicator detection item corresponding to the person to be detected, and each health indicator detection item corresponds to a group of health status collection and inspection parameters; Determine whether the health condition test parameters meet the preset preliminary screening rules; If the health condition sampling parameter meets the preliminary screening rule, the health condition sampling parameter is marked as an initial qualified parameter; Determine whether the initial qualified parameters in each of the health index detection items meet the preset health index re-examination rules; If the initial qualified parameter meets the health index re-examination rule, marking the initial qualified parameter as a re-examination target parameter; Mark the detection chain containing the re-inspection target parameters as a project qualified detection chain, and add all the acquired project qualified detection chains to the project confirmation library; Generate health status reminder information according to the health indicator detection item corresponding to the project qualified detection chain in the project confirmation library.

2. The method for dynamic health monitoring of vehicle personnel according to claim 1, characterized in that: The method of filling the multiple groups of health status detection parameters in the acquired physical condition monitoring information corresponding to the person to be detected into the health indicator detection items of the detection chain corresponding to the preset dynamic detection model includes: Classify the health status detection parameters in the acquired physical condition monitoring information into categories to obtain physical monitoring item classification parameters corresponding to each category; The classification parameters of the body monitoring items corresponding to each category are respectively filled into the health indicator detection items of the detection chain corresponding to each category in the dynamic detection model.

3. The method for dynamic health monitoring of vehicle personnel according to claim 2, characterized in that: The step of determining whether the health condition test parameters meet the preset preliminary screening rules includes: According to the preset health status monitoring items, each health status sampling parameter is divided into urgency levels, and the urgency level corresponding to each health status monitoring item is obtained as parameter urgency level information; The parameter urgency level information is configured in the preliminary screening rule.

4. The method for dynamic health monitoring of vehicle personnel according to claim 3, characterized in that: The determining whether the initial qualified parameters in each of the health index detection items meet the preset health index re-examination rules includes: The health status test parameters that have reached the corresponding parameter emergency lower limit level in the health index re-examination rule; the heart rate parameters, blood pressure parameters and fatigue assessment parameters included in the parameter emergency lower limit level are used as initial qualified parameters; Determining whether the initial qualified parameter reaches the parameter mitigation upper limit level; If the initial qualified parameter does not reach the parameter mitigation upper limit level, the corresponding initial qualified parameter is sent to a preset recycling library for re-evaluation.

5. The method for dynamic health monitoring of vehicle personnel according to claim 2, characterized in that: After generating the health status reminder information according to the health indicator detection item corresponding to the project qualified detection chain in the project confirmation library, the method further includes: If the number of the project qualified detection chains in the project confirmation library is not equal to the total number of the detection chains in the dynamic detection model, rating the re-inspection target parameters in the project qualified detection chains to obtain a rating result; If the proportion of the number of the re-examination target parameters that meet the preset final rating standards in the rating results is higher than the preset rating ratio, it is determined that the person to be tested is in a qualified physical condition.

6. A device for dynamic health monitoring of vehicle personnel, using the method for dynamic health monitoring of vehicle personnel according to any one of claims 1 to 5, characterized in that: The device includes: A monitoring information classification unit is used to fill multiple groups of health status detection parameters in the acquired physical condition monitoring information corresponding to the person to be detected into the health indicator detection items of the detection chain corresponding to the preset dynamic detection model; A first judgment unit, used to judge whether the health condition test parameters meet the preset preliminary screening rules; A first marking unit, configured to mark the health status detection parameter as an initial qualified parameter if the health status detection parameter meets the preliminary screening rule; A second judgment unit is used to judge whether the initial qualified parameters in each of the health index detection items meet the preset health index re-examination rules; A second marking unit, configured to mark the initial qualified parameter as a re-examination target parameter if the initial qualified parameter meets the health index re-examination rule; A third marking unit is used to mark the detection chain containing the re-inspection target parameter as a project qualified detection chain, and add all the acquired project qualified detection chains to the project confirmation library; The reminder unit is used to generate health status reminder information according to the health indicator detection project corresponding to the project qualified detection chain in the project confirmation library.

7. The on-board personnel health dynamic monitoring device according to claim 6, characterized in that: The monitoring information classification unit comprises: A parameter classification unit, used to classify the health status sampling parameters in the acquired physical condition monitoring information into categories, and obtain physical monitoring item classification parameters corresponding to each category; The parameter filling unit is used to fill the classification parameters of the body monitoring items corresponding to each category into the health indicator detection items in the detection chain corresponding to each category in the dynamic detection model.

8. The on-board personnel health dynamic monitoring device according to claim 6, characterized in that: The first judging unit comprises: An urgency level classification unit is used to classify the urgency level of each health status monitoring parameter according to the preset health status monitoring items, and obtain the urgency level corresponding to each health status monitoring item as parameter urgency level information; An information configuration unit is used to configure the parameter urgency level information to the preliminary screening rule.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 5 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the method according to any one of claims 1 to 5 can be implemented.

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