CN111746391A - An automatic alarm vehicle emergency rescue method and system - Google Patents

Abstract

The invention provides an automatic alarm vehicle emergency rescue method and system. The method has the following steps: establishing a vehicle model, uploading and searching the cloud to save the most similar vehicle data model, downloading the relevant emergency rescue condition knowledge base, danger level evaluation base, Vehicle safety factor safety limit; collect vehicle driving data and calculate vehicle safety factor through intelligent algorithm, upload vehicle driving data to the cloud, and conduct intelligent learning; if vehicle safety factor exceeds the safety limit, according to emergency rescue conditions knowledge base, danger level evaluation library intelligence Analyze the driving status of the vehicle, judge the danger level, and trigger the warning module to warn the driver. If the danger level reaches the level that requires emergency rescue, it will automatically alarm the nearest emergency rescue unit according to the location information read by the vehicle positioning module. By implementing the method and system of the present invention, it can automatically detect and warn an emergency, and automatically alarm the nearest emergency rescue platform, thereby improving the rescue efficiency.

Description

An automatic alarm vehicle emergency rescue method and system

Technical field:

The present invention relates generally to vehicle emergency rescue automatic alarms, and in particular to methods and systems for automatic alarm vehicle emergency rescue.

Background technique:

With the development of science and the improvement of people's living standards, automobiles appear more and more frequently in people's daily life. At the same time, there are more and more emergencies such as punctured tires, engine overheating, water pump problems, brake failures, electronic failures, and even serious car accidents during the driving process of vehicles. How to reduce the impact on road conditions and save passengers in time The safety of life and property, shortening the time of emergency rescue, and improving the efficiency of emergency rescue have become important topics in automobile emergency rescue.

The existing emergency rescue methods have the following defects: 1) The existing emergency rescue is basically triggered passively. When the vehicle encounters an emergency, the driver or the surrounding people need to take the initiative to report to the emergency rescue unit, but in remote areas or serious emergencies occur. In the event of an emergency, such as a car accident, sudden illness of the driver, etc., the emergency rescue unit contacted by the driver is too far away or unable to contact the emergency rescue unit, resulting in slow rescue response and untimely rescue; 2) In many emergency situations, due to It is caused by the driver's inability to make a clear judgment on the vehicle's condition. For example, the driver of the car is fatigued, blindly confident in the running condition of the vehicle, and enters a dangerous environment such as a road with too deep water. Some novice drivers are unfamiliar with the vehicle and ignore it. Some fault information continues to drive, etc. For these avoidable emergencies, the driver cannot be warned, resulting in an emergency situation where rescue is unnecessary. 3) The existing emergency rescue methods cannot automatically know the running state of the vehicle, and can only judge the running state of the vehicle based on the driver's subjective judgment. The driver is not a professional in the field of automobiles, and may misjudge the state of the vehicle, which is not conducive to emergency rescue. The unit takes appropriate emergency rescue measures in a timely manner. Therefore, it is necessary to improve the existing vehicle emergency rescue method, which can intelligently analyze the running state of the vehicle, automatically warn the driver of the emergency situation, and automatically send an alarm to the nearest emergency rescue unit by contacting the emergency rescue platform and send the vehicle. Running status analysis results.

Invention content:

The problem to be solved by the present invention is to intelligently analyze the running state of the vehicle, automatically warn the driver when an emergency occurs in the vehicle, and automatically send emergency rescue alarm information and vehicle operation through the vehicle-mounted emergency rescue system when the emergency reaches a certain level of danger. State analysis results, notify the nearest emergency rescue vehicles and rescue units and make rescue preparations to reduce serious emergencies, shorten rescue time, improve rescue efficiency, and ensure the safety of people's lives and properties.

The present invention adopts the following technical solutions to achieve the above object:

An automatic alarm vehicle emergency rescue method, comprising the following steps:

S1. Build a vehicle model, upload it to the cloud through the communication module, match it with the vehicle data model saved in the cloud, and then download the most approximate vehicle data model, relevant knowledge base of conditions involved in emergency rescue, and risk level evaluation through the communication module The library, the safety limit of the vehicle safety factor and the intelligent algorithm of the vehicle safety factor are transferred to the on-board central processing unit;

S2. The on-board central processor collects vehicle driving data through various sensors of the car, calculates the vehicle safety factor through the stored vehicle safety factor intelligent algorithm, uploads the vehicle driving data to the cloud, and performs intelligent learning, updating and saving;

S3. If the safety factor of the vehicle exceeds the safety limit of the safety factor of the vehicle, the on-board central processor intelligently analyzes the driving state of the vehicle according to the knowledge base of emergency rescue conditions, judges the danger level of the vehicle according to the danger level evaluation library, and triggers the warning module to remind the driver. When the level of emergency rescue is required, the on-board central processor automatically alerts the nearest emergency rescue unit by contacting the emergency rescue platform according to the position information read by the positioning module.

Further, the step S1 establishing a vehicle model includes the following steps:

S11. Initialize the training model with given parameters;

S12. Initialize and calibrate a preset parameter model, calibrate vehicle identification code information, vehicle diagnostic system information, and other vehicle interface information, and establish an initial vehicle data model;

S13. Upload the initial vehicle data model to the cloud through the mobile communication network of the communication module, search for the vehicle data model most similar to the initial vehicle data model, and download the emergency rescue condition library, The hazard level evaluation library, the safety limit of the vehicle safety factor, and the intelligent algorithm library of the vehicle safety factor are stored in the on-board central processing unit.

Further, in the step S13, the emergency rescue condition database involved in the emergency rescue includes: airbag deployment, vehicle attitude data, vehicle real-time operation data, vehicle environment data, vehicle operation data and operation trajectory data; the danger level evaluation database includes: : Collision degree evaluation library, vehicle attitude and attitude trajectory library, vehicle operation data and operation trajectory evaluation library, vehicle fault data evaluation library, vehicle position data evaluation library, vehicle environment data evaluation library, vehicle state data evaluation library.

For the vehicle emergency rescue method, further, the intelligent analysis in step S3 includes the following steps:

S31 , using automobile sensors and vehicle attitude sensors to collect various data in the running of the automobile;

S32 , by reading various data collected during the driving process, and comparing with the data in the emergency rescue condition database and the hazard rating database, determine the environment where the vehicle is located;

S33. Using the vehicle safety factor intelligent algorithm library to calculate the vehicle safety factor of the current vehicle in real time through various data collected during driving Analysis results;

S34. Upload the data and intelligent analysis results collected by the vehicle sensors to the cloud through the communication module, store the data and intelligent analysis results in the emergency rescue condition database and the danger level evaluation database involved in the emergency rescue of the vehicle model, and update the vehicle Safety factor intelligent algorithm library and safety limit of vehicle safety factor.

Further, the step S34 includes the following steps:

S341. Use the vehicle intelligent algorithm library to perform intelligent learning on the uploaded data and intelligent analysis results;

S342. Filter, store and update the learning model, the emergency rescue condition library and the hazard registration evaluation library involved in the emergency rescue, the safety limit of the vehicle safety factor, and the vehicle safety factor intelligent algorithm based on the result of the intelligent learning.

Further, in the step S3, the emergency rescue vehicle is connected to the vehicle-to-vehicle communication network, and the roadside emergency rescue network is connected to the vehicle-to-roadside unit communication network. The device communicates with the unit and shares its location. When the vehicle encounters an emergency, the vehicle-mounted central processor searches for the nearest location according to the vehicle location information through the vehicle-to-vehicle communication network and the vehicle-to-roadside unit communication network in the communication module. Emergency rescue vehicles and roadside emergency rescue outlets, and send alarm information, vehicle location information and intelligent analysis results.

Further, the present invention also provides a readable medium on which a control program is stored, and when the control program is executed by the processor, implements any one of the above-mentioned automatic alarm vehicle emergency rescue methods.

Further, the present invention also provides an automatic alarm vehicle emergency rescue system, including: a cloud computing center 100; a vehicle-mounted emergency rescue device 200, including a central processing unit 210 with a memory, which is stored in the memory and can be accessed by all The control program executed by the central processing unit, the attitude sensor 220, the vehicle information collection interface 230, the externally triggered input signal interface 240, the positioning module 250, the warning module 260 and the communication module 270 respectively connected to the central processing unit, so The communication module 270 is connected in communication with the cloud computing center 100 and the remote emergency rescue platform 300; when the central processor executes the control program, the automatic alarm vehicle emergency rescue method described in any one of the above is implemented.

Further, the attitude sensor 220 includes at least an acceleration sensor, an angular velocity sensor, an image sensor, a geomagnetic compass, a steering wheel angle sensor, a wheel angle sensor, and a vehicle speed sensor, for judging the driver's body attitude.

Further, the externally triggered input signal interface 240 is connected to the airbag 241, the temperature sensor 242 of the indoor and outdoor environment of the vehicle, the odor sensor 243 of the indoor and outdoor environment of the vehicle, the millimeter wave radar 244, and the image sensor 245. network of sensor signals

Further, the vehicle information collection interface 230 is connected to the vehicle bus, and the vehicle instrument, ECU, control module, gearbox, auxiliary braking system, various sensors and switches are connected through the vehicle bus to collect information that can be obtained from the vehicle network. sensor data of

Further, the communication module 270 includes: a mobile communication module and a WIFI communication module, the mobile communication module connects the cloud computing center and the remote emergency rescue platform through network communication, and is used for data uploading, downloading, and contacting emergency rescue. A platform, the WIFI module is used for wirelessly connecting the warning module and/or the smart phone.

Further, the warning module 260 includes: a voice system, a lighting system, and a display system. The voice system and the display system are used to remind the driver of the emergency when an emergency occurs; the lighting system is used to remind surrounding vehicles that the vehicle appears. emergency.

Further, a vehicle-mounted intelligent automatic alarm system in the present invention also includes an intelligent terminal or vehicle-mounted terminal or intelligent mobile terminal that is communicatively connected to the remote emergency rescue platform, for the emergency rescue unit to receive the location and the location of the vehicle requiring emergency rescue. Analysis results of vehicle driving conditions.

The beneficial effects of the present invention are as follows:

1. Through the vehicle-mounted automatic alarm intelligent emergency rescue system, it can intelligently judge the emergency situation encountered by the vehicle, remind the driver to avoid possible more serious emergency situations, and reduce the situation that may require emergency rescue.

2. Through the intelligent learning of the vehicle data model, the emergency rescue condition library and the danger level evaluation library are updated, which can cover the data models of various vehicles. For different vehicle models, different emergency rescue plans are adopted, which saves resources and improves rescue efficiency. .

3. Automatically send an alarm to the nearest emergency rescue vehicle and emergency rescue unit through the communication network and send the analysis results of the vehicle operation status to improve the efficiency of emergency rescue.

Description of drawings:

FIG. 1 is a schematic diagram of steps of an automatic alarm vehicle emergency rescue method of the present invention.

FIG. 2 is a flow chart of a vehicle emergency rescue method for realizing automatic alarm provided by the present invention.

3 is a schematic structural diagram of a vehicle-mounted intelligent automatic alarm emergency rescue system involved in the present invention.

FIG. 4 is a schematic diagram of a vehicle information collection interface connection device of a vehicle-mounted intelligent automatic alarm emergency rescue system.

FIG. 5 is a schematic diagram of an externally triggered input signal interface connection device of a vehicle-mounted intelligent automatic alarm emergency rescue device.

FIG. 6 is a schematic structural diagram of a communication module involved in a vehicle-mounted emergency rescue device.

FIG. 7 is a schematic structural diagram of a warning module involved in a vehicle-mounted emergency rescue device.

Detailed ways

The technical problem to be solved by the present invention is that the current emergency rescue method cannot adapt to all vehicle models, cannot actively judge the emergency situation of the vehicle, the danger warning is not timely, the emergency rescue response speed is slow, and the rescue efficiency is low. The idea provided by the present invention is: using vehicle sensors to establish a data model for the vehicle, actively judging whether an emergency has occurred by calculating the vehicle safety factor and determining the safety limit of the vehicle safety factor, and using the data collected by the vehicle sensor to analyze the vehicle running state, Judging the danger level of the environment where the vehicle is located, alerting the driver, and automatically deciding whether to alert the nearest rescue platform according to the danger level and sending the analysis results, and upload the real-time collected data to the cloud to achieve automatic learning and update the vehicle data model. . The purpose of adapting to all models as much as possible, proactively judging emergency situations, and improving rescue speed and efficiency.

Specifically, the automatic alarm vehicle emergency rescue method provided by the present invention includes the following steps:

S1. Build a vehicle model, upload it to the cloud through the communication module, match it with the vehicle data model saved in the cloud, and then download the most approximate vehicle data model, relevant knowledge base of conditions involved in emergency rescue, and risk level evaluation through the communication module The library, the safety limit of the vehicle safety factor and the intelligent algorithm of the vehicle safety factor are transferred to the on-board central processing unit;

S2. The on-board central processor collects vehicle driving data through various sensors of the car and calculates the vehicle safety factor through the saved vehicle safety factor intelligent algorithm; uploads the vehicle driving data to the cloud for intelligent learning, updating and saving;

S3. If the safety factor of the vehicle exceeds the safety limit of the safety factor of the vehicle, the on-board central processor intelligently analyzes the driving state of the vehicle according to the knowledge base of emergency rescue conditions, judges the danger level of the vehicle according to the danger level evaluation library, and triggers the warning module to remind the driver. When the level of emergency rescue is required, the on-board central processor automatically alerts the nearest emergency rescue unit through the emergency rescue platform according to the position information read by the positioning module.

At the same time, the invention also includes a vehicle-mounted intelligent automatic alarm emergency rescue system

For those skilled in the art to better understand the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and the following embodiments.

1. FIG. 1 is a schematic diagram of the steps of an automatic alarm vehicle emergency rescue method.

2. FIG. 2 is a flow chart of a control program for implementing an automatic alarm vehicle emergency rescue method, wherein the steps 1, 2, 3, 4, and 5 implement the step S1 of the present invention; Step S2 is described; processes 8, 9, 10, 11, 12, and 13 implement step S3 of the present invention.

3. FIG. 3 is an embodiment of the vehicle-mounted intelligent automatic alarm emergency rescue system provided according to the present invention. It consists of a cloud computing center 100, a vehicle-mounted emergency rescue device 200, and a remote emergency rescue platform 300. The vehicle-mounted emergency rescue device includes a central processing unit 210 including a memory, and attitude sensors 220, 220 and 220 respectively connected to the central processing unit. The vehicle information collection interface 230, the externally triggered input signal interface 240, the positioning module 250, the warning module 260 and the communication module 270, the cloud computing center 100, the vehicle-mounted emergency rescue device 200 and the remote emergency rescue platform 300 pass through the vehicle-mounted emergency rescue device The communication module 270 of the 200 is connected for communication, and the vehicle-mounted emergency rescue device 200 is connected to various sensors of the vehicle through the vehicle information collection interface 230 and the externally triggered input signal interface 240, and the vehicle-mounted emergency rescue device 200 uses the vehicle's own sensors to establish vehicle data. Model, through the communication module 270, from the cloud computing center 100 to search for similar vehicle data models and download the relevant condition knowledge base and risk level evaluation base involved in emergency rescue, vehicle safety factor intelligent algorithm and vehicle safety factor safety limit are stored in the central processing unit In 210, the central processing unit 210 reads the signals collected by the car sensors during the driving of the car, uses the vehicle safety factor intelligent algorithm to calculate the vehicle safety factor in real time and uploads it to the cloud computing center 100 through the communication module 270, and updates the vehicle data model. When the safety factor exceeds the safety range of the set vehicle safety factor, intelligently analyzes the vehicle operation according to the collected data, evaluates the danger level of the vehicle operation environment, and prompts the driver through the voice and lights of the warning module 260. When the danger level When reaching the level requiring automatic emergency rescue in the risk level evaluation library involved in emergency rescue, the central processor 210 automatically searches for the nearest remote emergency rescue platform 300 according to the positioning module 250 to give an alarm and send the intelligent analysis result.

4. Figures 4 and 5 are a specific embodiment of the vehicle information collection interface 230 and the externally triggered input signal interface 240 of the vehicle-mounted intelligent automatic alarm emergency rescue system, wherein the vehicle information collection interface 230 is mainly connected to the vehicle CAN bus 231, so The vehicle bus 231 connection includes: ECU node 2311, environment sensor 2312, attitude sensor 2313, target sensor 2314, vehicle information collection interface 230 is mainly used to collect vehicle information that can be obtained from the vehicle network; externally triggered input signal interface 240 is connected Including: airbag 241, vehicle indoor and outdoor environment temperature sensor 242, vehicle indoor and outdoor environment odor sensor 243, millimeter wave radar 244, image sensor 245; externally triggered input signal interface 240 and vehicle information collection interface 230 are used to collect vehicle driving data , which provides an important basis for calculating vehicle safety factors, intelligently analyzing vehicle operating conditions, and evaluating vehicle risk levels.

5. FIG. 6 is an embodiment of the warning module 260, the warning module 260 includes:

Voice warning system 261: including a microphone 2611 and a loudspeaker 2612, when the vehicle encounters an emergency, it reminds the driver, and when the vehicle encounters a situation requiring emergency rescue, it automatically calls the nearest emergency rescue unit through this system;

Emergency rescue lighting system 262: When the vehicle encounters a situation that requires emergency rescue, the system is automatically turned on, and the warning light 2621 placed outside the vehicle warns surrounding vehicles that the vehicle encounters an emergency situation that requires rescue. It can also be connected to the vehicle itself. The lighting system is replaced by the warning light 2621;

Display system 263: When the vehicle encounters an emergency, the display 2631 is used to visually warn the driver of the abnormality through images or text. The system can also use the display built in the vehicle as an alternative.

6. FIG. 7 is an embodiment of the communication module 270. The communication module 270 includes: a mobile communication module 271, which uses the mobile communication network to realize the connection with the cloud computing center 100; and the WIFI module 272, which uses the WIFI network to realize the connection with the automobile The communication connection between the bus 241 and the smartphone APP; the vehicle-to-rescue unit communication module 273 uses the vehicle-to-roadside unit communication network and the vehicle-to-vehicle communication network to realize the connection between the vehicle and the remote emergency rescue platform 300 .

Below in conjunction with specific embodiments, the benefits of the automatic alarm vehicle emergency rescue method and system involved in the present invention will be described in detail:

Embodiment 1: When the driver is drunk and drives a vehicle equipped with the vehicle-mounted intelligent automatic alarm emergency rescue system of the present invention, each sensor of the vehicle collects vehicle driving data, wherein the ambient odor sensor in the vehicle detects the alcohol concentration value in the air, and the data After the externally triggered input signal interface is transmitted to the central processing unit, the value of the vehicle safety factor obtained by the central processing unit increases and reaches the safety limit of the saved vehicle safety factor. The danger level of the environment where the vehicle is located, the intelligent analysis result shows that the alcohol concentration inside the vehicle exceeds the normal level, the driver is in a state of drunk driving, the central processor automatically triggers the warning module, and the voice prompts the driver not to drive drunk, if the driver insists on driving, The environmental danger level of the vehicle will rise, and the vehicle will automatically decelerate to a stop according to the instructions of the central processor. The invention reduces the emergency situation that may be caused by drunk driving, and can also achieve the purpose of preventing the driver from driving while drunk.

Embodiment 2: When the driver sleeps in the vehicle equipped with the vehicle-mounted intelligent automatic alarm emergency rescue system of the present invention, the attitude sensor in the system automatically collects the driver's human body attitude data, and transmits the attitude data to the central processing unit, When the driver's attitude data is abnormal, the safety factor of the vehicle will increase. The central processor compares the attitude data with the emergency rescue condition library, analyzes that the driver may be in a sleep state or a coma, and automatically triggers the warning module to remind the driver as soon as possible. Wake up, if there is no change in the driver's attitude data for a period of time, the intelligent analysis result will change that the driver may be unconscious, and the danger level of the vehicle's environment will increase. Or the driver of the rescue unit may be in a coma due to a sudden illness and needs emergency rescue. At the same time, the WIFI module of the communication module is used to connect the driver's mobile APP to automatically send a rescue request and real-time location to the saved emergency rescue number to remind family members or friends. Wait for someone who knows the driver's condition to assist in emergency rescue. The invention reduces the emergency situations such as suffocation that may occur when the driver sleeps in the car, can actively seek emergency rescue when the driver is ill, and saves the life of the driver.

Embodiment 3: When the vehicle equipped with the vehicle-mounted intelligent automatic alarm emergency rescue system of the present invention is running normally, the central processing unit reads the data collected from each sensor, and when the fuel tank is empty, the fuel level sensor of the vehicle transmits the fuel quantity information through the The vehicle information collection interface is transmitted to the central processing unit. The central processing unit calculates that the vehicle safety factor is increased, and intelligently analyzes the collected data to obtain the result that the fuel volume is about to run out. The central processing unit automatically triggers the warning module and passes the positioning module. Search for the nearest gas station, inform the driver that the fuel level is low and the location of the nearest gas station. When there is no gas, intelligent analysis based on the collected data shows that the fuel level of the vehicle is completely exhausted, and the danger level of the vehicle increases. Through the positioning module and the communication module, the nearest emergency rescue unit is contacted through the emergency rescue platform, and the vehicle that needs to be rescued has run out of fuel, and the rescue unit can directly carry gasoline to the rescue, which reduces the preparation time required for emergency rescue and improves the Efficiency of emergency rescue.

The embodiments of the present invention have been described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific embodiments, which are merely illustrative rather than restrictive. Under the inspiration of the present invention, without departing from the scope of protection of the present invention and the claims, many forms can be made, which all belong to the protection of the present invention.

Any description of a process or method in the flowcharts or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing a specified logical function or step of the process , and the scope of the preferred embodiments of the invention includes alternative implementations in which the functions may be performed out of the order shown or discussed, including performing the functions substantially concurrently or in the reverse order depending upon the functions involved, which should It is understood by those skilled in the art to which the embodiments of the present invention belong.

Taking the above embodiments according to the present invention as inspiration, and through the above description, those skilled in the art can make various changes and modifications without departing from the technical idea of the present invention. The technical scope of the present invention is not limited to the contents in the specification, and the technical scope must be determined according to the scope of the claims.

Claims (14)

1. an automatic alarm vehicle emergency rescue method, is characterized in that, described method comprises the following steps: S1. Build a vehicle model, upload it to the cloud through the communication module, match it with the vehicle data model saved in the cloud, and then download the most approximate vehicle data model, relevant knowledge base of conditions involved in emergency rescue, and risk level evaluation through the communication module The library, the safety limit of the vehicle safety factor and the intelligent algorithm of the vehicle safety factor are transferred to the on-board central processing unit; S2. Collect vehicle driving data through various sensors of the car and calculate the vehicle safety factor through the vehicle safety factor intelligent algorithm; upload the vehicle driving data to the cloud for intelligent learning, update and save the vehicle driving data; S3. If the safety factor of the vehicle exceeds the safety limit of the safety factor of the vehicle, intelligently analyze the driving state of the vehicle according to the knowledge base of emergency rescue conditions, judge the danger level of the vehicle according to the danger level evaluation library, and trigger the warning module to remind the driver. Level, the on-board central processor automatically alerts the nearest emergency rescue unit through the emergency rescue platform according to the location information read by the positioning module. 2. The method according to claim 1, characterized in that, establishing a vehicle model in the step S1 comprises the following steps: S11. Initialize the training model with given parameters; S12. Initialize and calibrate a preset parameter model, calibrate vehicle identification code information, vehicle diagnostic system information, and other vehicle interface information, and establish an initial vehicle data model; S13. Upload the initial vehicle data model to the cloud through the mobile communication network of the communication module, search for the vehicle data model most similar to the initial vehicle data model, and download the emergency rescue condition library, The hazard level evaluation library, the safety limit of the vehicle safety factor, and the intelligent algorithm library of the vehicle safety factor are stored in the on-board central processing unit. 3. The method according to claim 2, wherein in step S13, the emergency rescue condition database involved in emergency rescue comprises: airbag deployment, vehicle attitude data, real-time vehicle operation data, vehicle environment data, vehicle operation data and running trajectory data; the risk level evaluation library includes: collision degree evaluation library, vehicle attitude and attitude trajectory library, vehicle operation data and running trajectory evaluation library, vehicle fault data evaluation library, vehicle position data evaluation library, vehicle environment data evaluation library, Vehicle state data evaluation library. 4. The method according to claim 3, wherein the step S3 intelligent analysis comprises the following steps: S31. Read various data collected during driving; S32 , comparing the collected data with the data in the emergency rescue condition database, and obtaining an intelligent real-time analysis result of the driving state of the vehicle; judging the environment where the vehicle is located; S33. Compare the collected data with the data in the danger level evaluation database, and evaluate the danger level of the environment where the vehicle is located; S34. Upload the data and intelligent analysis results collected by the vehicle sensors to the cloud through the communication module, store the data and intelligent analysis results in the emergency rescue condition database and the danger level evaluation database involved in the emergency rescue of the vehicle model, and update the vehicle Safety factor intelligent algorithm and safety limit of vehicle safety factor. 5. The method according to claim 4, wherein the step S34 comprises the following steps: S341. Use the vehicle intelligent algorithm library to perform intelligent learning on the uploaded data and intelligent analysis results; S342. Filter, store and update the learning model, the emergency rescue condition library and the hazard registration evaluation library involved in the emergency rescue, the safety limit of the vehicle safety factor, and the vehicle safety factor intelligent algorithm based on the result of the intelligent learning. 6. The method according to claim 5, characterized in that, in step S3, the emergency rescue vehicle is connected to the vehicle-to-vehicle communication network, and the roadside emergency rescue network is connected to the vehicle-to-roadside unit communication network, and shares its location, wherein The roadside unit refers to the equipment installed on the roadside and communicates with the vehicle-mounted unit using dedicated short-range communication technology. The unit communication network retrieves the nearest emergency rescue vehicle and roadside emergency rescue network according to the vehicle location information, and sends alarm information, vehicle location information and intelligent analysis results. 7. A readable medium on which a control program is stored, characterized in that: when the control program is executed by a processor, the automatic alarm vehicle emergency rescue method according to any one of claims 1 to 6 is implemented. 8. An automatic alarm vehicle emergency rescue system, comprising: a cloud computing center 100; a vehicle-mounted emergency rescue device 200, a central processing unit 210 having a memory, and a program that is stored in the memory and can be executed by the central processing unit. The control program and the attitude sensor 220, the vehicle information collection interface 230, the externally triggered input signal interface 240, the positioning module 250, the warning module 260 and the communication module 270 respectively connected to the central processing unit, the communication module 270 and the The cloud computing center 100 is connected in communication with the remote emergency rescue platform 300; it is characterized in that: when the processor executes the control program, the automatic alarm vehicle emergency rescue method according to any one of claims 1 to 7 is implemented. 9 . The system according to claim 8 , wherein the attitude sensor 220 at least comprises: an acceleration sensor, an angular velocity sensor, an image sensor, a geomagnetic compass, a steering wheel angle sensor, a wheel angle sensor, and a vehicle speed sensor, which are used to judge the driver. 10 . body posture. 10 . The system according to claim 9 , wherein the externally triggered input signal interface 240 is connected to an airbag 241 , a temperature sensor 242 of the vehicle indoor and outdoor environment, an odor sensor 243 of the vehicle indoor and outdoor environment, and a millimeter wave radar 244 . and an image sensor 245 for collecting signals from sensors that do not belong to the vehicle network. 11 . The system according to claim 10 , wherein the vehicle information collection interface 230 is connected to a vehicle bus, and the vehicle instrument, ECU, control module, gearbox, auxiliary braking system, various sensors are connected through the vehicle bus. 11 . and switches for collecting sensor data available from the vehicle network. 12. The system according to claim 11, wherein the communication module 270 comprises: a mobile communication module and a WIFI communication module, the mobile communication module connects the cloud computing center and the remote emergency rescue platform through network communication, It is used for data uploading, downloading, and contacting the emergency rescue platform, and the WIFI module is used for wirelessly connecting the warning module and/or the smart phone. 13. The system according to claim 12, wherein the warning module 260 comprises: a voice system, a lighting system, a display system, and the voice system and the display system are used to remind the driver of the emergency when an emergency occurs ; The lighting system is used to remind surrounding vehicles that the vehicle has an emergency. 14. The system according to any one of claims 8-13, further comprising an intelligent terminal or a vehicle-mounted terminal or an intelligent mobile terminal that is communicatively connected to the remote emergency rescue platform, for emergency rescue units to receive needs The location of emergency rescue vehicles and the analysis results of vehicle driving conditions.

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