CN111746391A - Automatic-alarming vehicle emergency rescue method and system - Google Patents
Automatic-alarming vehicle emergency rescue method and system Download PDFInfo
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- CN111746391A CN111746391A CN201910232440.2A CN201910232440A CN111746391A CN 111746391 A CN111746391 A CN 111746391A CN 201910232440 A CN201910232440 A CN 201910232440A CN 111746391 A CN111746391 A CN 111746391A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/46—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for vehicle-to-vehicle communication [V2V]
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Abstract
The invention provides an automatic alarming vehicle emergency rescue method and system, wherein the method comprises the following steps: establishing a vehicle model, uploading and searching a cloud storage closest vehicle data model, and downloading a related emergency rescue condition knowledge base, a danger level evaluation base and a vehicle safety factor safety limit; collecting vehicle driving data, calculating a vehicle safety factor through an intelligent algorithm, uploading the vehicle driving data to a cloud end, and performing intelligent learning; if the vehicle safety factor exceeds a safety limit, the driving state of the vehicle is intelligently analyzed according to the emergency rescue condition knowledge base and the danger level evaluation base, the danger level is judged, the warning module is triggered to warn a driver, and if the danger level reaches the level needing emergency rescue, the nearest emergency rescue unit is automatically alarmed according to the position information read by the vehicle positioning module. The method and the system can automatically detect and warn emergency, automatically alarm the nearest emergency rescue platform and improve rescue efficiency.
Description
The technical field is as follows:
the present invention relates generally to vehicle emergency rescue autoalarms, and in particular to a method and system for automatic alarmed vehicle emergency rescue.
Background art:
with the scientific development and the improvement of the living standard of people, automobiles appear more and more frequently in daily life of people. Meanwhile, the emergency situations of tire puncture, engine overheating, water pump problem, brake failure, electronic fault, even serious car accident and the like of the vehicle are increasingly generated in the driving process, so that how to reduce the influence on road conditions, save the lives and properties of passengers in time, shorten the emergency rescue time and improve the emergency rescue efficiency become important issues of automobile emergency rescue.
The existing emergency rescue method has the following defects: 1) the existing emergency rescue is triggered passively, when an emergency situation occurs to a vehicle, a driver or surrounding people are required to actively give an alarm to an emergency rescue unit, but in a remote area or a serious emergency situation occurs, such as a car accident, sudden diseases of the driver and the like, the emergency rescue unit contacted by the driver is too far away or cannot be contacted with the emergency rescue unit, so that the situations of slow rescue reaction and untimely rescue are caused; 2) many emergency situations, caused by the driver's inability to clearly judge the vehicle's condition, are: the automobile driver is fatigue driven, the automobile driver is blindly self-confident of the running state of the automobile and enters dangerous environments such as road sections with deep water accumulation, and some novice drivers are unfamiliar with the automobile and neglect certain fault information to continue driving, and the like. 3) The existing emergency rescue method cannot automatically acquire the running state of the vehicle, and can only judge the running state of the vehicle according to the subjective of a driver, but the driver is not a professional in the field of automobiles, so that misjudgment on the automobile condition is likely to be made, and an emergency rescue unit is not facilitated to take proper emergency rescue measures in time. Therefore, there is a need for an improvement of the existing vehicle emergency rescue method, which can intelligently analyze the operation state of the vehicle, automatically warn the driver of the emergency, automatically alarm the nearest emergency rescue unit by contacting the emergency rescue platform, and send the analysis result of the operation state of the vehicle.
The invention content is as follows:
the invention aims to solve the problems that the running state of a vehicle is intelligently analyzed, a driver is automatically warned when the vehicle has an emergency, and when the emergency reaches a certain dangerous degree, an emergency rescue alarm message and a vehicle running state analysis result are automatically sent by a vehicle-mounted emergency rescue system, a nearest emergency rescue vehicle and a nearest rescue unit are notified and rescue preparation is made, so that the aims of reducing serious emergency, shortening rescue time, improving rescue efficiency and ensuring life and property safety of people are achieved.
The invention adopts the following technical scheme for achieving the aim:
an automatic alarming vehicle emergency rescue method comprises the following steps:
s1, establishing a vehicle model, uploading the vehicle model to a cloud end through a communication module, matching the vehicle model with a vehicle data model stored by the cloud end, and downloading the most approximate vehicle data model, a condition knowledge base related to emergency rescue, a danger level evaluation base, a safety limit of a vehicle safety factor and a vehicle safety factor intelligent algorithm to a vehicle-mounted central processing unit through a communication module;
s2, the vehicle-mounted central processing unit acquires vehicle driving data through various sensors of the vehicle, calculates vehicle safety factors through a stored vehicle safety factor intelligent algorithm, uploads the vehicle driving data to a cloud end, and carries out intelligent learning, updating and storing;
and S3, if the vehicle safety factor exceeds the safety limit of the vehicle safety factor, the vehicle-mounted central processing unit intelligently analyzes the running state of the vehicle according to the emergency rescue condition knowledge base, judges the danger level of the vehicle according to the danger level evaluation base, triggers the warning module to remind a driver, and if the danger level reaches the level needing emergency rescue, the vehicle-mounted central processing unit automatically gives an alarm to 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 of building a vehicle model includes the following steps:
s11, initializing a given parameter training model;
s12, initializing and calibrating a preset parameter model, calibrating vehicle identification code information, vehicle diagnosis system information and other interface information of a vehicle, and establishing an initial vehicle data model;
and S13, uploading the initial vehicle data model to a cloud end through a mobile communication network of the communication module, searching for a vehicle data model closest to the initial vehicle data model, downloading an emergency rescue condition library and a danger level evaluation library which are related to emergency rescue and included by the closest vehicle data model, and storing the safety limit of the vehicle safety factor and an intelligent algorithm library of the vehicle safety factor in an on-board central processing unit.
Further, in step S13, the emergency rescue condition library related to emergency rescue includes: airbag explosion, vehicle attitude data, vehicle real-time running data, vehicle environment data, vehicle running data and running track data; the risk level evaluation library comprises: the system comprises a collision degree evaluation library, a vehicle posture and posture track library, a vehicle running data and running track evaluation library, a vehicle fault data evaluation library, a vehicle position data evaluation library, a vehicle environment data evaluation library and a vehicle state data evaluation library.
For the vehicle emergency rescue method, further, the intelligent analysis of step S3 includes the following steps:
s31, acquiring various data of the running automobile by using an automobile sensor and an automobile attitude sensor;
s32, judging the environment of the vehicle by reading all data collected in the driving process and comparing the data with the data in the emergency rescue condition library and the danger level evaluation library;
s33, calculating the vehicle safety factor of the current vehicle in real time by using the vehicle safety factor intelligent algorithm library according to various data collected in the driving process; obtaining an intelligent analysis result of the vehicle running state according to the vehicle safety factor and the judgment of the environment where the vehicle is located;
s34, uploading the data and the intelligent analysis results acquired by the automobile sensor to a cloud end through a communication module, storing the data and the intelligent analysis results in an emergency rescue condition library and a danger level evaluation library related to the emergency rescue of the automobile model, and updating the safety limit of the automobile safety factor intelligent algorithm library and the automobile safety factor.
Further, the step S34 includes the following steps:
s341, intelligently learning the uploaded data and the intelligent analysis result by using a vehicle intelligent algorithm library;
and S342, filtering and storing the intelligent learning result, and updating the learning model, an emergency rescue condition library and a danger registration evaluation library related to emergency rescue, a safety limit of a vehicle safety factor and a vehicle safety factor intelligent algorithm according to the intelligent learning result.
Further, 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, where the roadside unit is a device installed at the roadside and communicating with the vehicle-mounted unit by using a dedicated short-range communication technology, and shares the location thereof, and when an emergency occurs in the vehicle, the vehicle-mounted central processing unit retrieves the emergency rescue vehicle and the roadside emergency rescue network closest to the 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, and sends the alarm information, the vehicle location information, and the intelligent analysis result.
Further, the present invention provides a readable medium, which stores a control program, and the control program, when executed by a processor, implements any one of the automatic alarm vehicle emergency rescue methods described above.
Further, the present invention also provides an automatic alarm vehicle emergency rescue system, comprising: a cloud computing center 100; the vehicle-mounted emergency rescue device 200 comprises a central processing unit 210 with a memory, a control program which is stored in the memory and can be executed by the central processing unit, and an attitude sensor 220, a vehicle information acquisition interface 230, an externally triggered input signal interface 240, a positioning module 250, an alarm module 260 and a communication module 270 which are respectively connected with the central processing unit, wherein the communication module 270 is in communication connection with the cloud computing center 100 and a remote emergency rescue platform 300; when the central processing unit executes the control program, the automatic alarm vehicle emergency rescue method is realized.
Further, the attitude sensor 220 includes at least: the device comprises an acceleration sensor, an angular velocity sensor, an image sensor, a geomagnetic compass, a steering wheel corner sensor, a wheel corner sensor and a vehicle speed sensor, and is used for judging the body posture of a driver.
Further, the external triggering input signal interface 240 is connected to an airbag 241, a temperature sensor 242 for the indoor and outdoor environment of the vehicle, an odor sensor 243 for the indoor and outdoor environment of the vehicle, a millimeter wave radar 244, and an image sensor 245, and is used for collecting signals of sensors not belonging to the vehicle network
Further, the vehicle information collecting interface 230 is connected to a vehicle bus, and is connected to a vehicle instrument, an ECU, a control module, a transmission, an auxiliary braking system, various sensors and switches through the vehicle bus, so as to collect sensor data that can be obtained from a vehicle network
Further, the communication module 270 includes: the mobile communication module is connected with the cloud computing center and the remote emergency rescue platform through network communication and used for 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.
Further, the warning module 260 includes: the voice system and the display system are used for reminding a driver of emergency when the emergency occurs; the lighting system is used for prompting surrounding vehicles that the vehicle has an emergency.
Further, the vehicle-mounted intelligent automatic alarm system further comprises an intelligent terminal or a vehicle-mounted terminal or an intelligent mobile terminal which is in communication connection with the remote emergency rescue platform and is used for an emergency rescue unit to receive the position of a vehicle needing emergency rescue and the analysis result of the vehicle running condition.
The invention has the following beneficial effects:
1. through the vehicle-mounted automatic alarm intelligent emergency rescue system, the emergency situation met by the vehicle is intelligently judged, a driver is reminded of avoiding the more serious emergency situation which possibly occurs, and the situation that emergency rescue is possibly needed is reduced.
2. Through intelligent learning of the vehicle data model, the emergency rescue condition library and the danger level evaluation library are updated, the data models of various vehicles can be covered, different emergency rescue plans are adopted for different vehicle types, resources are saved, and rescue efficiency is improved.
3. The emergency rescue vehicle and the emergency rescue unit which are closest to each other are automatically alarmed through the communication network, and the running state analysis result of the vehicle is sent, so that the emergency rescue efficiency is improved.
Description of the drawings:
fig. 1 is a schematic view illustrating steps of an automatic alarm vehicle emergency rescue method according to the present invention.
Fig. 2 is a flowchart of a vehicle emergency rescue method for implementing automatic alarm according to the present invention.
Fig. 3 is a schematic structural diagram of a vehicle-mounted intelligent automatic alarm emergency rescue system according to the present invention.
Fig. 4 is a schematic diagram of a vehicle information acquisition 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 an in-vehicle intelligent automatic alert emergency rescue device.
Fig. 6 is a schematic structural diagram of a communication module related to a vehicle-mounted emergency rescue device.
Fig. 7 is a schematic structural diagram of a warning module related to a vehicle-mounted emergency rescue device.
Detailed Description
The technical problem to be solved by the invention is as follows: the existing emergency rescue method has the problems that the existing emergency rescue method cannot be adapted to all vehicle types, cannot actively judge the emergency situation of the vehicle, is not timely in danger warning, is low in emergency rescue response speed and is low in rescue efficiency. The idea provided by the invention is as follows: the method comprises the steps of establishing a data model for a vehicle by utilizing a vehicle sensor, actively judging whether an emergency situation occurs or not by calculating a vehicle safety factor and determining a safety limit of the vehicle safety factor, analyzing a vehicle running state by utilizing data collected by the vehicle sensor, judging a danger level of an environment where the vehicle is located, warning a driver, automatically deciding whether to alarm a nearest rescue platform or not according to the danger level and sending an analysis result, uploading the data collected in real time to a cloud end, achieving automatic learning, and updating the vehicle data model. The method meets the requirements of adapting to all vehicle types as far as possible, actively judges emergency conditions and improves the rescue speed and efficiency.
Specifically, the vehicle emergency rescue method capable of automatically alarming provided by the invention comprises the following steps:
s1, establishing a vehicle model, uploading the vehicle model to a cloud end through a communication module, matching the vehicle model with a vehicle data model stored by the cloud end, and downloading the most approximate vehicle data model, a condition knowledge base related to emergency rescue, a danger level evaluation base, a safety limit of a vehicle safety factor and a vehicle safety factor intelligent algorithm to a vehicle-mounted central processing unit through a communication module;
s2, the vehicle-mounted central processing unit collects vehicle driving data through various sensors of the vehicle and calculates vehicle safety factors through a stored vehicle safety factor intelligent algorithm; uploading vehicle driving data to a cloud end, and performing intelligent learning, updating and storing;
and S3, if the vehicle safety factor exceeds the safety limit of the vehicle safety factor, the vehicle-mounted central processing unit intelligently analyzes the running state of the vehicle according to the emergency rescue condition knowledge base, judges the danger level of the vehicle according to the danger level evaluation base, triggers the warning module to remind a driver, and if the danger level reaches the level needing emergency rescue, the vehicle-mounted central processing unit automatically gives an alarm to the nearest emergency rescue unit through the emergency rescue platform according to the position information read by the positioning module.
Meanwhile, the invention also comprises a vehicle-mounted intelligent automatic alarm emergency rescue system
For a better understanding of the present invention by those skilled in the art, the present invention will be described in further detail below with reference to the accompanying drawings and the following examples.
1. Fig. 1 is a schematic step diagram of an automatic alarm vehicle emergency rescue method.
2. Fig. 2 is a flowchart of a control procedure for implementing an automatic alarm vehicle emergency rescue method, in which the procedures 1, 2, 3, 4, 5 implement the step S1 of the present invention; the processes 6 and 7 implement the step S2 of the present invention; the processes 8, 9, 10, 11, 12 and 13 implement the step S3 of the present invention.
3. Fig. 3 is a diagram illustrating an embodiment of an on-vehicle intelligent automatic alarm emergency rescue system according to the present invention. The vehicle emergency rescue system comprises a cloud computing center 100, a vehicle-mounted emergency rescue device 200 and a remote emergency rescue platform 300, wherein the vehicle emergency rescue device comprises a central processing unit 210 containing a storage, and an attitude sensor 220, a vehicle information acquisition interface 230, an externally triggered input signal interface 240, a positioning module 250, a warning module 260 and a communication module 270 which are respectively connected with the central processing unit, the cloud computing center 100, the vehicle-mounted emergency rescue device 200 and the remote emergency rescue platform 300 are in communication connection through the communication module 270 of the vehicle-mounted emergency rescue device 200, the vehicle-mounted emergency rescue device 200 is connected with various sensors of the vehicle through the vehicle information acquisition interface 230 and the externally triggered input signal interface 240, the vehicle-mounted emergency rescue device 200 utilizes the sensors of the vehicle to establish a vehicle data model, and searches similar vehicle data models from the cloud computing center 100 through the communication module 270 and downloads a condition knowledge base and a danger knowledge base related to the related emergency rescue and the danger related to the emergency rescue The rating evaluation library, the vehicle safety factor intelligent algorithm and the vehicle safety factor safety margin are stored in the central processor 210, the central processing unit 210 reads the signals collected by the automobile sensors during the driving process of the automobile, calculates the safety factors of the automobile in real time by using an intelligent algorithm of the safety factors of the automobile, uploads the safety factors to the cloud computing center 100 through the communication module 270, updates the data model of the automobile, and when the safety factors of the automobile exceed the safety range of the set safety factors of the automobile, intelligently analyzing the running condition of the vehicle according to the collected data, evaluating the danger level of the running environment of the vehicle, prompting the driver through voice, light and the like of the warning module 260, when the danger level reaches the level requiring automatic emergency rescue in the danger level evaluation library involved in emergency rescue, the central processor 210 automatically searches for the nearest remote emergency rescue platform 300 alarm according to the positioning module 250 and sends the intelligent analysis result.
4. Fig. 4 and 5 show an embodiment of a vehicle information collection interface 230 and an 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 a vehicle CAN bus 231, and the vehicle bus 231 is connected to include: the ECU node 2311, the environment sensor 2312, the attitude sensor 2313, the target sensor 2314, and the vehicle information collection interface 230 are mainly used for collecting the vehicle information that can be sent from the vehicle network; the externally triggered input signal interface 240 connections include: an airbag 241, a vehicle indoor and outdoor environment temperature sensor 242, a vehicle indoor and outdoor environment odor sensor 243, a millimeter wave radar 244, an image sensor 245; the externally triggered input signal interface 240 and the vehicle information acquisition interface 230 are used for acquiring vehicle driving data, and provide important basis for calculating vehicle safety factors, intelligently analyzing vehicle running conditions and evaluating vehicle danger levels.
5. Fig. 6 is an embodiment of an alert module 260, the alert module 260 comprising:
the voice warning system 261: the system comprises a microphone 2611 and a loudspeaker 2612, when the vehicle meets an emergency, the system reminds a driver, and when the vehicle meets the condition that emergency rescue is needed, the system automatically calls the nearest emergency rescue units around;
emergency rescue light system 262: when the vehicle meets the condition of needing emergency rescue, the system is automatically turned on, the warning lamp 2621 arranged outside the vehicle is used for warning surrounding vehicles that the vehicle meets the emergency condition of needing rescue, and a lighting system connected to the vehicle can be used as the substitute of the warning lamp 2621;
the display system 263: when the vehicle is in an emergency, the display 2631 is used to visually warn the driver of the abnormality through images or characters, and the system can also be replaced by a display built in the vehicle.
6. Fig. 7 is an embodiment of a communication module 270, the communication module 270 comprising: the mobile communication module 271 is connected with the cloud computing center 100 by using a mobile communication network; the WIFI module 272 is in communication connection with the automobile bus 241 and the smart phone APP by utilizing a WIFI network; the vehicle-to-rescue unit communication module 273 connects the vehicle to the remote emergency rescue platform 300 by using the vehicle-to-roadside unit communication network and the vehicle-to-vehicle communication network.
The following detailed description will be made with reference to specific embodiments of the present invention for the benefits of the automatic alarm vehicle emergency rescue method and system:
example 1: when a driver drives a vehicle provided with the vehicle-mounted intelligent automatic alarm emergency rescue system in an intoxicated state, each sensor of the vehicle acquires vehicle driving data, wherein an environmental odor sensor in the vehicle detects an alcohol concentration value in the air, the data is transmitted to a central processing unit through an input signal interface triggered by the outside, a vehicle safety factor value obtained by the central processing unit is increased to reach a stored vehicle safety factor safety limit, the central processing unit intelligently analyzes the vehicle driving state according to the acquired data, evaluates the danger level of the environment where the vehicle is located, the intelligent analysis result shows that the alcohol concentration in the vehicle exceeds a normal level, the driver belongs to the intoxicated driving state, the central processing unit automatically triggers a warning module to prompt the driver not to be drunk driving by voice, if the driver insists on driving, the danger level of the environment where the vehicle is located is increased, the vehicle is automatically decelerated to a stop according to the instruction of the central processing unit. The invention reduces the possible emergency situation caused by drunk driving and can also achieve the purpose of preventing the driver from drunk driving.
Example 2: when a driver sleeps in a vehicle provided with the vehicle-mounted intelligent automatic alarm emergency rescue system, the posture sensor in the system automatically acquires the human body posture data of the driver, the posture data are transmitted to the central processing unit, when the posture data of the driver are abnormal, the safety factor of the vehicle is increased, the central processing unit compares the posture data with the emergency rescue condition library, analyzes whether the driver is in a sleeping state or a coma state, automatically triggers the warning module to remind the driver to wake up as soon as possible, if the posture data of the driver do not change for a period of time, the intelligent analysis result is changed into that the driver is possibly coma, the environmental risk level of the vehicle is increased, and the central processing unit automatically alarms the nearest hospital or rescue unit according to the vehicle positioning to inform the hospital or rescue unit that the driver possibly has sudden illness in the coma state and needs emergency rescue, utilize the WIFI module of communication module to connect driver's cell-phone APP simultaneously, send rescue request and real-time position to the emergency rescue number of saving automatically, remind family members or friends etc. to know the people of driver's condition and assist emergency rescue. The invention reduces the possible emergency situations of suffocation and the like when a driver sleeps in the vehicle, and can actively seek emergency rescue when the driver is ill, thereby saving the life of the driver.
Example 3: when a vehicle provided with the vehicle-mounted intelligent automatic alarm emergency rescue system normally runs, the central processing unit reads data collected from each sensor, when an oil tank is empty, the oil level sensor of the vehicle transmits oil quantity information to the central processing unit through the vehicle information collection interface, the central processing unit calculates to obtain the rise of a vehicle safety factor, intelligently analyzes the collected data to obtain a result that the oil quantity is about to be exhausted, the central processing unit automatically triggers the warning module, searches a nearest oil station through the positioning module to inform a driver of low oil quantity and the position of the nearest oil station, when no gasoline exists, the vehicle oil quantity is completely exhausted according to the intelligent analysis of the collected data, the danger level of the vehicle is increased, the central processing unit contacts a nearest emergency rescue unit through the positioning module and the communication module through the emergency rescue platform and informs that the oil quantity of the vehicle needing rescue is exhausted, the rescue unit can directly carry gasoline to rescue, so that the preparation time required by emergency rescue is reduced, and the efficiency of emergency rescue is improved.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
In light of the above, it is intended that the present invention cover modifications and variations of this invention provided they fall within the scope of the following claims. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.
Claims (14)
1. An automatic alarm vehicle emergency rescue method, characterized in that the method comprises the following steps:
s1, establishing a vehicle model, uploading the vehicle model to a cloud end through a communication module, matching the vehicle model with a vehicle data model stored by the cloud end, and downloading the most approximate vehicle data model, a condition knowledge base related to emergency rescue, a danger level evaluation base, a safety limit of a vehicle safety factor and a vehicle safety factor intelligent algorithm to a vehicle-mounted central processing unit through a communication module;
s2, acquiring vehicle running data through various sensors of the vehicle and calculating a vehicle safety factor through a vehicle safety factor intelligent algorithm; uploading vehicle driving data to a cloud end, performing intelligent learning, and updating and storing the vehicle driving data;
and S3, if the vehicle safety factor exceeds the safety limit of the vehicle safety factor, intelligently analyzing the running state of the vehicle according to the emergency rescue condition knowledge base, judging the danger level of the vehicle according to the danger level evaluation base, triggering the warning module to remind a driver, and if the danger level reaches the level needing emergency rescue, automatically giving an alarm to the nearest emergency rescue unit through the emergency rescue platform by the vehicle-mounted central processing unit according to the position information read by the positioning module.
2. The method according to claim 1, wherein the step S1 of building a vehicle model comprises the steps of:
s11, initializing a given parameter training model;
s12, initializing and calibrating a preset parameter model, calibrating vehicle identification code information, vehicle diagnosis system information and other interface information of a vehicle, and establishing an initial vehicle data model;
and S13, uploading the initial vehicle data model to a cloud end through a mobile communication network of the communication module, searching for a vehicle data model closest to the initial vehicle data model, downloading an emergency rescue condition library and a danger level evaluation library which are related to emergency rescue and included by the closest vehicle data model, and storing the safety limit of the vehicle safety factor and an intelligent algorithm library of the vehicle safety factor in an on-board central processing unit.
3. The method according to claim 2, wherein in step S13, the emergency rescue condition library related to emergency rescue comprises: airbag explosion, vehicle attitude data, vehicle real-time running data, vehicle environment data, vehicle running data and running track data; the risk level evaluation library comprises: the system comprises a collision degree evaluation library, a vehicle posture and posture track library, a vehicle running data and running track evaluation library, a vehicle fault data evaluation library, a vehicle position data evaluation library, a vehicle environment data evaluation library and a vehicle state data evaluation library.
4. The method according to claim 3, wherein the intelligent analysis of step S3 includes the following steps:
s31, reading various data collected in the driving process;
s32, comparing the acquired data with data in the emergency rescue condition library to obtain an intelligent real-time analysis result of the vehicle driving state; judging the environment of the vehicle;
s33, comparing the collected data with the data of the danger level evaluation library, and evaluating the danger level of the environment where the vehicle is located;
s34, uploading the data and the intelligent analysis results acquired by the automobile sensor to a cloud end through a communication module, storing the data and the intelligent analysis results in an emergency rescue condition library and a danger level evaluation library related to the emergency rescue of the automobile model, and updating the safety factor intelligent algorithm of the automobile and the safety limit of the automobile safety factor.
5. The method according to claim 4, wherein the step S34 comprises the steps of:
s341, intelligently learning the uploaded data and the intelligent analysis result by using a vehicle intelligent algorithm library;
and S342, filtering and storing the intelligent learning result, and updating the learning model, an emergency rescue condition library and a danger registration evaluation library related to emergency rescue, a safety limit of a vehicle safety factor and a vehicle safety factor intelligent algorithm according to the intelligent learning result.
6. The method according to claim 5, wherein 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 the location thereof, wherein the roadside unit is a device installed at the roadside and communicating with the vehicle-mounted unit by using a dedicated short-range communication technology, and when the vehicle is in an emergency, the vehicle-mounted central processing unit searches for the emergency rescue vehicle and the roadside emergency rescue network closest to the vehicle 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, and sends the alarm information, the vehicle location information and the intelligent analysis result.
7. A readable medium having a control program stored thereon, characterized in that: the control program, when executed by a processor, implements the automatic alert vehicle emergency rescue method as recited in any one of claims 1 to 6.
8. An automatic alarm vehicle emergency rescue system comprising: a cloud computing center 100; the vehicle-mounted emergency rescue device 200 comprises a central processing unit 210 with a memory, a control program which is stored in the memory and can be executed by the central processing unit, and an attitude sensor 220, a vehicle information acquisition interface 230, an externally triggered input signal interface 240, a positioning module 250, an alarm module 260 and a communication module 270 which are respectively connected with the central processing unit, wherein the communication module 270 is in communication connection with the cloud computing center 100 and a remote emergency rescue platform 300; the method is characterized in that: the processor implements the automatic alarming vehicle emergency rescue method according to any one of claims 1 to 7 when executing the control program.
9. The system of claim 8, wherein the attitude sensor 220 comprises at least: the device comprises an acceleration sensor, an angular velocity sensor, an image sensor, a geomagnetic compass, a steering wheel corner sensor, a wheel corner sensor and a vehicle speed sensor, and is used for judging the body posture of a driver.
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 for the indoor and outdoor environment of the vehicle, an odor sensor 243 for the indoor and outdoor environment of the vehicle, a millimeter wave radar 244, and an image sensor 245, and is used for collecting signals of sensors not belonging to the vehicle network.
11. The system of claim 10, wherein the vehicle information collection interface 230 is connected to a vehicle bus, and is connected to the vehicle bus via which the vehicle instruments, the ECU, the control module, the transmission, the auxiliary brake system, the various sensors, and the switches are connected for collecting sensor data available from a vehicle network.
12. The system of claim 11, wherein the communication module 270 comprises: the mobile communication module is connected with the cloud computing center and the remote emergency rescue platform through network communication and used for 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 of claim 12, wherein the alert module 260 comprises: the voice system and the display system are used for reminding a driver of emergency when the emergency occurs; the lighting system is used for prompting 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 in communication connection with the remote emergency rescue platform, for an emergency rescue organization to receive the position of the vehicle needing emergency rescue and the analysis result of the vehicle driving condition.
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| CN113096392A (en) * | 2021-03-25 | 2021-07-09 | 合肥革绿信息科技有限公司 | Intelligent networking system for traffic fault early warning |
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