Driver and passenger health monitoring and processing method and device, vehicle and storage medium

Abstract

The invention relates to a driver and passenger health monitoring and processing method and device, a vehicle and a storage medium, and the method comprises the steps: collecting the monitoring data of a driver and a passenger in the current vehicle; whether the monitoring data meet preset abnormal state conditions or not is judged, and if the monitoring data meet the preset abnormal state conditions, the health abnormality type and the health abnormality level of the driver and the passenger are detected based on the health condition data; and determining a target medical institution according to the health abnormality type and the health abnormality level, and generating a target navigation route to control the target vehicle to travel to the target medical institution according to the target navigation route. By integrating the health monitoring technology and the intelligent navigation function, the driving safety and the personalized service level are improved, and more intelligent and convenient driving experience and health management service are brought to the user.

Description

Technical Field

[0001] The present application relates to the field of health monitoring technology, and in particular to a driver and passenger health monitoring and processing method, device, vehicle and storage medium. Background Art

[0002] With the continuous advancement of automotive technology, smart cars have become the trend of future development. The health of drivers and passengers is crucial to driving safety and comfort, but existing technologies cannot effectively integrate health monitoring data with navigation systems, which greatly affects the user experience and needs to be solved urgently. Summary of the invention

[0003] The present application provides a driver and passenger health monitoring and processing method, device, vehicle and storage medium to solve the problem that the existing technology cannot effectively integrate health monitoring data with the navigation system, which greatly affects the user experience.

[0004] The first aspect of the present application provides a method for monitoring and processing the health of drivers and passengers, comprising the following steps: collecting monitoring data of the drivers and passengers in the current vehicle; determining whether the monitoring data meets the preset abnormal state conditions, and if the monitoring data meets the preset abnormal state conditions, detecting the health abnormality type and health abnormality level of the driver and passengers based on health status data; determining a target medical institution based on the health abnormality type and the health abnormality level, and generating a target navigation route to control the target vehicle to travel to the target medical institution according to the target navigation route.

[0005] Optionally, in one embodiment of the present application, the judging whether the monitoring data satisfies a preset abnormal state condition, and if the monitoring data satisfies the preset abnormal state condition, then based on the health status data, the detecting of the health abnormality type and health abnormality level of the driver and passenger includes: judging whether the heart rate data, body fat data and weight data in the health status data are in a corresponding healthy interval, and if the heart rate data, the body fat data and the weight data are in corresponding healthy intervals respectively, then judging that the driver and passenger are in a normal healthy state; if any health status data among the heart rate data, the body fat data and the weight data are in a preset first abnormal interval, then judging that the driver and passenger are in a slightly abnormal state; if any health status data among the heart rate data, the body fat data and the weight data are in a preset second abnormal interval, then judging that the driver and passenger are in a seriously abnormal state.

[0006] Optionally, in one embodiment of the present application, after detecting the health abnormality type and the health abnormality level of the driver and passenger, it also includes: generating a health data report based on the health abnormality type and the health abnormality level, so as to provide reminders and health guidance to the driver and passenger through the health data report; when the heart rate data is in a slightly abnormal state, providing a first health reminder to the driver and passenger in acoustic or optical form, so as to suggest the driver and passenger to stop and rest at the nearest resting place; when the heart rate data is in a seriously abnormal state, providing a second health reminder to the driver and passenger in acoustic and optical form, and searching for the target medical institution.

[0007] Optionally, in one embodiment of the present application, determining the target medical institution through the health abnormality type and the health abnormality level includes: when the heart rate data is in a serious abnormal state, obtaining the current location information of the target vehicle; constructing a target search range based on the current location information and a preset search radius, and searching for at least one medical institution within the target search range; obtaining distance data between the target vehicle and each of the at least one medical institution, and screening close medical institutions whose distance data is less than a preset distance threshold; if at least one close medical institution is screened, determining the target medical institution based on the specialty information of each of the at least one close medical institution and the distance between each close medical institution and the target vehicle.

[0008] Optionally, in one embodiment of the present application, after determining the target medical institution through the health abnormality type and the health abnormality level, it also includes: if no nearby medical institution is screened out, obtaining the contact information of all emergency contacts pre-stored in the target vehicle; based on the contact information and the preset contact priority level, contacting the target emergency contact with the highest priority level to notify the target emergency contact to perform first aid on the driver and passengers.

[0009] The second aspect of the present application provides a driver and passenger health monitoring and processing device, including: an acquisition module, used to collect monitoring data of the driver and passengers in the current vehicle; a judgment module, used to judge whether the monitoring data meets the preset abnormal state conditions, if the monitoring data meets the preset abnormal state conditions, then based on the health status data, detecting the health abnormality type and health abnormality level of the driver and passengers; a control module, used to determine the target medical institution through the health abnormality type and the health abnormality level, and generate a target navigation route to control the target vehicle to travel to the target medical institution according to the target navigation route.

[0010] Optionally, in an embodiment of the present application, the judgment module includes: a first analysis unit, configured to judge whether the heart rate data, body fat data and weight data in the health status data are in a corresponding health interval, and if the heart rate data, the body fat data and the weight data are in the corresponding health intervals, respectively, it is determined that the driver and passenger are in a normal health state;

[0011] The second analysis unit is used to determine that the driver and passenger is in a slightly abnormal state if any health status data among the heart rate data, the body fat data and the weight data is within a preset first abnormal interval; the third analysis unit is used to determine that the driver and passenger is in a seriously abnormal state if any health status data among the heart rate data, the body fat data and the weight data is within a preset second abnormal interval.

[0012] Optionally, in one embodiment of the present application, it also includes: a generation module, which is used to generate a health data report according to the health abnormality type and the health abnormality level of the driver and passenger after detecting the health abnormality type and the health abnormality level of the driver and passenger, so as to provide reminders and health guidance to the driver and passenger through the health data report; a reminder module, which is used to provide a first health reminder to the driver and passenger in acoustic or optical form when the heart rate data is in a slightly abnormal state, so as to suggest the driver and passenger to stop and rest at the nearest resting place; and a search module, which is used to provide a second health reminder to the driver and passenger in acoustic and optical form when the heart rate data is in a seriously abnormal state, and search for the target medical institution.

[0013] Optionally, in one embodiment of the present application, the control module includes: an acquisition unit, used to acquire the current position information of the target vehicle when the heart rate data is in a seriously abnormal state; a construction unit, used to construct a target search range based on the current position information and a preset search radius, and search for at least one medical institution within the target search range; a screening unit, used to acquire the distance data between the target vehicle and each of the at least one medical institution, and screen the close medical institutions whose distance data is less than a preset distance threshold; a determination unit, used to determine the target medical institution based on the specialty information of each of the at least one close medical institution and the distance between each close medical institution and the target vehicle if at least one close medical institution is screened.

[0014] Optionally, in one embodiment of the present application, it also includes: an extraction module, which is used to obtain the contact information of all emergency contacts pre-stored in the target vehicle after the target medical institution is determined by the health abnormality type and the health abnormality level, if no close medical institution is screened; a contact module, which is used to contact the target emergency contact with the highest priority level based on the contact information and the preset contact priority level, so as to notify the target emergency contact to perform first aid on the driver and passengers.

[0015] The third aspect of the present application provides a vehicle, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the driver and passenger health monitoring and processing method as described in the above embodiment.

[0016] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the above-mentioned driver and passenger health monitoring and processing method.

[0017] Therefore, the embodiments of the present application have the following beneficial effects:

[0018] The embodiments of the present application can collect monitoring data of the current driver and passengers in the vehicle; determine whether the monitoring data meets the preset abnormal state conditions, and if the monitoring data meets the preset abnormal state conditions, detect the health abnormality type and health abnormality level of the driver and passengers based on the health status data; determine the target medical institution by the health abnormality type and health abnormality level, and generate a target navigation route to control the target vehicle to travel to the target medical institution according to the target navigation route. The present application improves driving safety and personalized service levels by integrating health monitoring technology and intelligent navigation functions, and brings users a more intelligent and convenient driving experience and health management services. As a result, the problem that the existing technology cannot effectively integrate health monitoring data and navigation systems, greatly affecting the user experience, is solved.

[0019] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0021] Figure 1 A flowchart of a driver and passenger health monitoring and treatment method provided according to an embodiment of the present application;

[0022] Figure 2A schematic diagram of the execution logic of a driver and passenger health monitoring and processing method provided for one embodiment of the present application;

[0023] Figure 3 A schematic diagram of a human-computer interaction interface provided for an embodiment of the present application;

[0024] Figure 4 This is an example diagram of a driver and passenger health monitoring and processing device according to an embodiment of the present application;

[0025] Figure 5 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application.

[0026] Among them, 10-driver and passenger health monitoring and processing device; 100-acquisition module, 200-judgment module, 300-control module; 501-memory, 502-processor, 503-communication interface. DETAILED DESCRIPTION

[0027] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0028] The following describes the driver and passenger health monitoring and processing method, device, vehicle and storage medium of the embodiment of the present application with reference to the accompanying drawings. In response to the problems mentioned in the above background technology, the present application provides a driver and passenger health monitoring and processing method, in which the monitoring data of the driver and passenger in the current vehicle is collected; it is determined whether the monitoring data meets the preset abnormal state conditions, if the monitoring data meets the preset abnormal state conditions, the health abnormality type and health abnormality level of the driver and passenger are detected based on the health status data; the target medical institution is determined by the health abnormality type and health abnormality level, and the target navigation route is generated at the same time to control the target vehicle to travel to the target medical institution according to the target navigation route. The present application improves driving safety and personalized service levels by integrating health monitoring technology and intelligent navigation functions, and brings users a more intelligent and convenient driving experience and health management service. As a result, the problem that the existing technology cannot effectively integrate health monitoring data and navigation systems, greatly affecting the user experience, is solved.

[0029] Specifically, Figure 1 A flowchart of a driver and passenger health monitoring and treatment method provided in an embodiment of the present application.

[0030] like Figure 1 As shown, the driver and passenger health monitoring and treatment method includes the following steps:

[0031] In step S101, monitoring data of the driver and passengers in the current vehicle is collected.

[0032] In step S102, it is determined whether the monitoring data meets the preset abnormal state conditions. If the monitoring data meets the preset abnormal state conditions, the health abnormality type and health abnormality level of the driver and passenger are detected based on the health status data.

[0033] The health index of the driver and passengers is monitored through various sensors such as the steering wheel, in-car camera, seat sensor, etc.

[0034] The embodiments of the present application can firstly monitor the heart rate, blood pressure, body fat and other physiological data of the driver or passenger through the steering wheel sensor, and can monitor the sitting posture, weight distribution and other data of the driver and passenger through the seat sensor; secondly, the embodiments of the present application can also process and analyze the data collected by the corresponding sensors through the data processing algorithm to determine whether the health status of the driver and passenger is abnormal, and if the health status of the driver and passenger is abnormal, detect the type and level of health abnormality of the driver and passenger, so as to provide guidance and basis for the subsequent execution of corresponding health reminders and other operations on the driver and passenger.

[0035] Optionally, in one embodiment of the present application, it is determined whether the monitoring data meets the preset abnormal state conditions. If the monitoring data meets the preset abnormal state conditions, the health abnormality type and health abnormality level of the driver and passenger are detected based on the health status data, including: determining whether the heart rate data, body fat data and weight data in the health status data are in the corresponding health interval. If the heart rate data, body fat data and weight data are in the corresponding health intervals respectively, it is determined that the driver and passenger are in a normal health state; if any health status data among the heart rate data, body fat data and weight data is within the preset first abnormal interval, it is determined that the driver and passenger is in a slightly abnormal state; if any health status data among the heart rate data, body fat data and weight data is within the preset second abnormal interval, it is determined that the driver and passenger is in a seriously abnormal state.

[0036] Specifically, if Figure 2 As shown, the embodiment of the present application detects the body of the driver and passenger through the steering wheel heart rate monitoring system (i.e., steering wheel sensor) and the seat weight distribution sitting posture monitoring system (i.e., seat sensor), and transmits the detected body data to the data processing unit. When the data processing unit identifies that the heart rate of the driver and passenger is 60-100 times / minute, it is determined to be in a normal state; when the data processing unit identifies that the heart rate of the driver and passenger is 50-60 times / minute or 100-110 times / minute, it is determined to be in a slightly abnormal state; when the data processing unit identifies that the heart rate of the driver and passenger is below 50 times / minute or above 110 times / minute, it is determined to be in a seriously abnormal state;

[0037] At the same time, the steering wheel detection system can also detect the body fat percentage of drivers and passengers. Combined with the gender settings in the vehicle settings, if the male driver's body fat percentage is detected to be between 10%-22% and the female driver's body fat percentage is between 20%-32%, it is judged to be normal, otherwise it is abnormal.

[0038] In addition, the seat sensor determines the weight distribution of the occupants by measuring the pressure distribution on the seat surface. When the occupants sit on the seat, the sensor monitors the pressure changes in various areas of the seat surface in real time to determine the specific weight distribution of the occupants on the seat. Based on the weight distribution data, the embodiment of the present application can infer some health indexes of the occupants, such as whether the body is balanced, whether there is abnormal weight deviation, whether there is improper posture, etc. This index can evaluate the physical condition and comfort of the occupants.

[0039] Therefore, the embodiments of the present application determine whether the monitoring data meets the abnormal state conditions, and when the monitoring data meets the abnormal state conditions, determine the health abnormality type and health abnormality level of the driver and passengers, thereby greatly improving the reliability and intelligence level of the vehicle.

[0040] Optionally, in one embodiment of the present application, after detecting the health abnormality type and health abnormality level of the driver and passenger, it also includes: generating a health data report based on the health abnormality type and health abnormality level, so as to provide reminders and health guidance to the driver and passenger through the health data report; when the heart rate data is in a slightly abnormal state, providing a first health reminder to the driver and passenger in acoustic or optical form, so as to suggest the driver and passenger to stop and rest at the nearest resting place; when the heart rate data is in a seriously abnormal state, providing a second health reminder to the driver and passenger in acoustic and optical form, and searching for target medical institutions.

[0041] During the actual implementation process, the embodiments of the present application can generate a health data report based on the above-mentioned health abnormality types and health abnormality levels, so as to provide reminders and health guidance to drivers and passengers through the health data report.

[0042] Specifically, for the two data of body fat number and weight distribution, if the body fat number and weight distribution are normal, the text of recognition and praise can be displayed on the vehicle display screen, and the corresponding voice can be broadcast; when the data processing unit determines that the driver has an abnormal body fat index or abnormal weight distribution, the signal is transmitted to the UI interface and voice control system, and the corresponding UI interface prompts and voice prompts are issued, such as Figure 3 As shown, encouragement and improvement plans are given to provide users with the most considerate service from a humanized perspective.

[0043] In addition, for the heart rate data, if it is normal, it can be recognized and praised through UI interface prompts and voice prompts; when the data processing unit determines that the driver's heart rate index is slightly abnormal, the signal is transmitted to the UI interface and voice control system, and a corresponding UI interface prompt or voice prompt (i.e., the first health reminder) is issued. The UI interface provides the nearest rest point and asks whether to navigate to the rest point for rest; when the data processing unit determines that the driver's heart rate index is seriously abnormal, the signal is transmitted to the UI interface and voice control system, and a corresponding UI interface prompt and voice prompt (i.e., the second health reminder) is issued. The UI interface provides the nearest hospital and asks whether to navigate to the hospital for medical treatment.

[0044] Therefore, the embodiments of the present application can monitor the health status of the driver and passengers in real time, thereby promptly detecting health abnormalities and providing related services, greatly improving driving safety and riding comfort.

[0045] In step S103, a target medical institution is determined by the health abnormality type and the health abnormality level, and a target navigation route is generated to control the target vehicle to travel to the target medical institution according to the target navigation route.

[0046] Furthermore, the embodiments of the present application can also combine health monitoring data and navigation systems to intelligently plan the best route and parking points based on the driver's physical condition and health needs, and ask whether to navigate to the nearest hospital nearby, thereby providing the driver with a more personalized and intelligent navigation service, greatly improving the safety and health management level of the driver and passengers.

[0047] Optionally, in one embodiment of the present application, the target medical institution is determined by the health abnormality type and the health abnormality level, including: when the heart rate data is in a serious abnormal state, obtaining the current location information of the target vehicle; constructing a target search range based on the current location information and a preset search radius, and searching for at least one medical institution within the target search range; obtaining the distance data between the target vehicle and each of the at least one medical institution, and screening out close medical institutions whose distance data is less than a preset distance threshold; if at least one close medical institution is screened out, determining the target medical institution based on the specialty information of each of the at least one close medical institution and the distance between each close medical institution and the target vehicle.

[0048] It should be noted that when the heart rate data is in a seriously abnormal state and the user agrees to navigate to the nearest hospital or emergency point, the embodiment of the present application can obtain the current location of the target vehicle based on the vehicle positioning system.

[0049] Furthermore, as a feasible method, the embodiment of the present application takes the current position as the center of the circle and constructs a target search range according to a preset search radius (such as 3km) to search for multiple medical institutions within the target search range; thereafter, the embodiment of the present application can compare the distance between the vehicle and each medical institution with a preset distance threshold to obtain the medical institution that is closer to the vehicle.

[0050] If one or more close medical institutions are screened, the embodiment of the present application can determine the target medical institution based on the specialty information of each close medical institution and the distance between each close medical institution and the target vehicle.

[0051] Therefore, the embodiments of the present application can link the intelligent reminder system with the navigation system to promptly alert the driver or passengers when abnormal situations are detected, provide the option of navigating to medical institutions, and improve the efficiency and timeliness of responding to emergencies.

[0052] Optionally, in one embodiment of the present application, after determining the target medical institution by the health abnormality type and health abnormality level, it also includes: if no nearby medical institution is screened out, obtaining the contact information of all emergency contacts pre-stored in the target vehicle; based on the contact information and the preset contact priority level, contacting the target emergency contact with the highest priority level to notify the target emergency contact to perform first aid on the driver and passengers.

[0053] During the specific implementation process, when no close medical institution is screened out, the embodiment of the present application can obtain the contact information of the emergency contacts pre-stored in the target vehicle, and contact the target emergency contact with the highest priority level based on the contact information and the contact priority level. For example, the embodiment of the present application can first obtain the contact information of the rescue unit with the highest priority and stronger emergency rescue capability, such as 120, etc., and then contact the contact with the second highest priority, such as the relatives of the driver and passengers. At the same time, the health data report of the driver and passengers can be sent to the terminal device of the corresponding contact, so as to notify the emergency contact to provide first aid to the driver and passengers.

[0054] Thus, the embodiments of the present application provide critical medical assistance to users in emergency situations by monitoring the health status of the driver and passengers in real time during driving and providing targeted navigation services.

[0055] According to the driver and passenger health monitoring and processing method proposed in the embodiment of the present application, the monitoring data of the driver and passenger in the current vehicle is collected; it is determined whether the monitoring data meets the preset abnormal state conditions. If the monitoring data meets the preset abnormal state conditions, the health abnormality type and health abnormality level of the driver and passenger are detected based on the health status data; the target medical institution is determined by the health abnormality type and health abnormality level, and a target navigation route is generated at the same time to control the target vehicle to travel to the target medical institution according to the target navigation route. This application improves driving safety and personalized service levels by integrating health monitoring technology and intelligent navigation functions, bringing users a more intelligent and convenient driving experience and health management services.

[0056] Secondly, the driver and passenger health monitoring and processing device proposed in accordance with the embodiments of the present application is described with reference to the accompanying drawings.

[0057] Figure 4 It is a block diagram of a driver and passenger health monitoring and processing device according to an embodiment of the present application.

[0058] like Figure 4 As shown, the driver and passenger health monitoring and processing device 10 includes: a collection module 100, a judgment module 200 and a control module 300.

[0059] The acquisition module 100 is used to acquire monitoring data of the driver and passengers in the current vehicle.

[0060] The judgment module 200 is used to judge whether the monitoring data meets the preset abnormal state conditions. If the monitoring data meets the preset abnormal state conditions, the health abnormality type and health abnormality level of the driver and passenger are detected based on the health status data.

[0061] The control module 300 is used to determine the target medical institution according to the health abnormality type and health abnormality level, and generate a target navigation route to control the target vehicle to travel to the target medical institution according to the target navigation route.

[0062] Optionally, in one embodiment of the present application, the judgment module 200 includes: a first analysis unit, a second analysis unit and a third analysis unit.

[0063] Among them, the first analysis unit is used to determine whether the heart rate data, body fat data and weight data in the health status data are in the corresponding health range. If the heart rate data, body fat data and weight data are in the corresponding health range respectively, it is determined that the driver and passengers are in a normal health state.

[0064] The second analysis unit is used to determine that the driver and passenger are in a slightly abnormal state if any health status data among the heart rate data, body fat data and weight data is within a preset first abnormal interval.

[0065] The third analysis unit is used to determine that the driver and passenger are in a serious abnormal state if any health status data among the heart rate data, body fat data and weight data is in a preset second abnormal range.

[0066] Optionally, in one embodiment of the present application, the driver and passenger health monitoring and processing device 10 of the embodiment of the present application further includes: a generation module, a reminder module and a search module.

[0067] Among them, the generation module is used to generate a health data report according to the health abnormality type and health abnormality level after detecting the health abnormality type and health abnormality level of the driver and passengers, so as to remind and provide health guidance to the driver and passengers through the health data report.

[0068] The reminder module is used to provide the first health reminder to the driver and passengers in acoustic or optical form when the heart rate data is in a slightly abnormal state, so as to suggest the driver and passengers to stop and rest at the nearest resting place.

[0069] The search module is used to provide a second health reminder to the driver and passengers through acoustic and optical forms when the heart rate data is in a seriously abnormal state, and to search for target medical institutions.

[0070] Optionally, in one embodiment of the present application, the control module 300 includes: an acquisition unit, a construction unit, a screening unit and a determination unit.

[0071] Among them, the acquisition unit is used to obtain the current position information of the target vehicle when the heart rate data is in a serious abnormal state.

[0072] The construction unit is used to construct a target search range based on current location information and a preset search radius, and search for at least one medical institution within the target search range.

[0073] The screening unit is used to obtain the distance data between the target vehicle and each medical institution in at least one medical institution, and screen the close medical institutions whose distance data is less than a preset distance threshold.

[0074] A determination unit is used to determine a target medical institution based on the specialty information of each of the at least one short-distance medical institution and the distance between each short-distance medical institution and the target vehicle if at least one short-distance medical institution is screened.

[0075] Optionally, in one embodiment of the present application, the driver and passenger health monitoring and processing device 10 of the embodiment of the present application further includes: an extraction module and a contact module.

[0076] Among them, the extraction module is used to obtain the contact information of all emergency contacts pre-stored in the target vehicle after determining the target medical institution by the health abnormality type and health abnormality level, if no nearby medical institution is screened out.

[0077] The contact module is used to contact the target emergency contact with the highest priority level based on the contact information and the preset contact priority level, so as to notify the target emergency contact to perform first aid operations on the driver and passengers.

[0078] It should be noted that the aforementioned explanations and descriptions of the embodiment of the driver and passenger health monitoring and processing method are also applicable to the driver and passenger health monitoring and processing device of this embodiment, and will not be repeated here.

[0079] The driver and passenger health monitoring and processing device proposed in the embodiment of the present application includes a collection module for collecting monitoring data of the driver and passengers in the current vehicle; a judgment module for judging whether the monitoring data meets the preset abnormal state conditions, and if the monitoring data meets the preset abnormal state conditions, the health abnormality type and health abnormality level of the driver and passengers are detected based on the health status data; a control module for determining the target medical institution by the health abnormality type and health abnormality level, and generating a target navigation route to control the target vehicle to travel to the target medical institution according to the target navigation route. This application improves driving safety and personalized service levels by integrating health monitoring technology and intelligent navigation functions, bringing users a more intelligent and convenient driving experience and health management services.

[0080] Figure 5 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. The vehicle may include:

[0081] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0082] When the processor 502 executes the program, the driver and passenger health monitoring and processing method provided in the above embodiment is implemented.

[0083] Furthermore, the vehicle also includes:

[0084] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0085] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0086] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0087] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0088] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0089] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0090] An embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned driver and passenger health monitoring and processing method is implemented.

[0091] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0092] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0093] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0094] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0095] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0096] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0097] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0098] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A driver and passenger health monitoring and treatment method, characterized in that: The following steps are involved: Collect monitoring data of the current vehicle's drivers and passengers; Determining whether the monitoring data meets a preset abnormal state condition, and if the monitoring data meets the preset abnormal state condition, detecting the health abnormality type and health abnormality level of the driver and passenger based on the health status data; The target medical institution is determined by the health abnormality type and the health abnormality level, and a target navigation route is generated to control the target vehicle to travel to the target medical institution according to the target navigation route.

2. The method according to claim 1, characterized in that The determining whether the monitoring data meets the preset abnormal state condition, and if the monitoring data meets the preset abnormal state condition, detecting the health abnormality type and health abnormality level of the driver and passenger based on the health status data, includes: Determine whether the heart rate data, body fat data and weight data in the health status data are in a corresponding health range, and if the heart rate data, the body fat data and the weight data are in the corresponding health range, determine that the driver and passenger are in a normal health state; If any health condition data among the heart rate data, the body fat data and the weight data is within a preset first abnormal interval, it is determined that the driver and passenger is in a slightly abnormal state; If any health status data among the heart rate data, the body fat data and the weight data is in a preset second abnormal interval, it is determined that the driver and passenger is in a serious abnormal state.

3. The method according to claim 2, characterized in that After detecting the health abnormality type and the health abnormality level of the driver and passenger, the method further includes: generating a health data report according to the health abnormality type and the health abnormality level, so as to provide reminders and health guidance to the driver and passengers through the health data report; When the heart rate data is in a slightly abnormal state, a first health reminder is given to the driver and passenger in an acoustic or optical form, so as to suggest the driver and passenger to stop and rest at the nearest resting place; When the heart rate data is in a seriously abnormal state, a second health reminder is given to the driver and passenger in acoustic and optical forms, and the target medical institution is searched.

4. The method according to claim 2, characterized in that: The determining of the target medical institution according to the health abnormality type and the health abnormality level includes: When the heart rate data is in a serious abnormal state, obtaining the current position information of the target vehicle; Constructing a target search range based on the current location information and a preset search radius, and searching for at least one medical institution within the target search range; Acquire distance data between the target vehicle and each of the at least one medical institution, and select close medical institutions whose distance data is less than a preset distance threshold; If at least one short-distance medical institution is screened, the target medical institution is determined based on the specialty information of each of the at least one short-distance medical institution and the distance between each of the short-distance medical institutions and the target vehicle.

5. The method according to claim 4, characterized in that After determining the target medical institution according to the health abnormality type and the health abnormality level, the method further includes: If no nearby medical institution is screened, obtaining contact information of all emergency contacts pre-stored in the target vehicle; Based on the contact information and the preset contact priority level, a target emergency contact with the highest priority level is contacted to notify the target emergency contact to perform first aid operations on the driver and passengers.

6. A driver and passenger health monitoring and processing device, characterized in that: include: A collection module is used to collect monitoring data of the driver and passengers in the current vehicle; A judgment module, used to judge whether the monitoring data meets the preset abnormal state condition, and if the monitoring data meets the preset abnormal state condition, detect the health abnormality type and health abnormality level of the driver and passenger based on the health status data; The control module is used to determine a target medical institution according to the health abnormality type and the health abnormality level, and generate a target navigation route to control the target vehicle to travel to the target medical institution according to the target navigation route.

7. The device according to claim 6, characterized in that The judging module comprises: A first analysis unit is used to determine whether the heart rate data, body fat data and weight data in the health status data are in a corresponding health interval, and if the heart rate data, the body fat data and the weight data are in the corresponding health intervals, it is determined that the driver is in a normal health state; a second analyzing unit, configured to determine that the driver and passenger is in a slightly abnormal state if any health condition data among the heart rate data, the body fat data and the weight data is within a preset first abnormal interval; The third analysis unit is used to determine that the driver and passenger is in a serious abnormal state if any health status data among the heart rate data, the body fat data and the weight data is in a preset second abnormal interval.

8. The device according to claim 7, characterized in that Also includes: a generating module, configured to generate a health data report according to the health abnormality type and the health abnormality level of the driver and passenger after detecting the health abnormality type and the health abnormality level of the driver and passenger, so as to provide reminders and health guidance to the driver and passenger through the health data report; a reminder module, configured to, when the heart rate data is in a slightly abnormal state, give the driver and passenger a first health reminder in an acoustic or optical form, so as to suggest the driver and passenger to stop the car and rest at the nearest resting place; The search module is used to provide a second health reminder to the driver and passengers in acoustic and optical forms when the heart rate data is in a seriously abnormal state, and to search for the target medical institution.

9. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the driver and passenger health monitoring and processing method as described in any one of claims 1 to 5.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the driver and passenger health monitoring and processing method as described in any one of claims 1-5.

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