CN112950939A - Vehicle accident real-time early warning method and system - Google Patents
Vehicle accident real-time early warning method and system Download PDFInfo
- Publication number
- CN112950939A CN112950939A CN202110176076.XA CN202110176076A CN112950939A CN 112950939 A CN112950939 A CN 112950939A CN 202110176076 A CN202110176076 A CN 202110176076A CN 112950939 A CN112950939 A CN 112950939A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- server
- body data
- uploaded
- vehicle body
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
-
- 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]
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a real-time early warning method and a real-time early warning system for vehicle accidents, wherein the method comprises the following steps: the method comprises the steps that vehicle body data of vehicles are collected and uploaded to a server, and the server generates a unique key for each vehicle to store corresponding vehicle body data; when the vehicle body data uploaded by the vehicle exceeds the preset parameter range, acquiring vehicle abnormal information and uploading the vehicle abnormal information to the server, searching nearby vehicles according to the GPS positions of the abnormal vehicles by the server, and stopping reminding of the danger of the nearby vehicles. Potential danger can be identified in advance through the scheme, early warning information is generated in time, unnecessary danger is avoided, and the driving safety of vehicles is guaranteed.
Description
Technical Field
The invention relates to the technical field of vehicle networking, in particular to a real-time early warning method and system for vehicle accidents.
Background
With the maturity of the internet of vehicles technology, it plays more and more important roles in automatic driving, vehicle safety, and the like. The car networking except carrying out data interaction with high in the clouds server, can also realize the information sharing in other workshops, along with the popularization of car networking, the vehicle can obtain very big promotion to the discernment ability of potential danger.
However, most of the current vehicle safety pre-warning methods are to perform pre-warning by actively detecting possible dangers through a vehicle or collecting data such as road conditions and weather of a current vehicle driving lane, and the pre-warning information generated by the pre-warning methods may be relatively late, so that it is difficult to provide reliable potential danger information early.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and a system for real-time warning of a vehicle accident, so as to solve the problem that the existing warning information is relatively delayed and it is difficult to find a potential hazard early.
In a first aspect of an embodiment of the present invention, a real-time vehicle accident early warning method is provided, including:
the method comprises the steps that vehicle body data of vehicles are collected and uploaded to a server, and the server generates a unique key for each vehicle to store corresponding vehicle body data;
when the vehicle body data uploaded by the vehicle exceeds the preset parameter range, acquiring vehicle abnormal information and uploading the vehicle abnormal information to the server, searching nearby vehicles according to the GPS positions of the abnormal vehicles by the server, and stopping reminding of the danger of the nearby vehicles.
In a second aspect of the embodiments of the present invention, there is provided a real-time vehicle accident warning system, including:
the vehicle body data acquisition module is used for acquiring vehicle body data and uploading the vehicle body data to the server;
the storage module is used for receiving the vehicle body data uploaded by the vehicles and generating a unique key for each vehicle to store the corresponding vehicle body data;
the data analysis module is used for acquiring vehicle abnormal information and uploading the vehicle abnormal information to the server when the vehicle body data uploaded by the vehicle exceeds a preset parameter range;
and the early warning module is used for searching nearby vehicles according to the abnormal vehicle GPS and interrupting to remind the nearby vehicles of the danger.
In a third aspect of the embodiments of the present invention, there is provided an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method according to the first aspect of the embodiments of the present invention.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method provided in the first aspect of the embodiments of the present invention.
The embodiment of the invention provides an accident early warning system based on a vehicle networking technology, which is characterized in that monitoring abnormal results of vehicle body states are uploaded to a network based on the vehicle networking technology, the positions of accident vehicles are positioned through a GPS, early warning information is sent out in real time through a vehicle application interruption reminding mode, dangers are transmitted to nearby vehicles, surrounding vehicles can predict the possibly existing dangers in advance, unnecessary dangers are avoided, and the safety of the vehicles is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a real-time vehicle accident warning method according to an embodiment of the present invention;
FIG. 2 is another schematic flow chart of a method for real-time pre-warning of vehicle accidents according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a real-time vehicle accident warning system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons skilled in the art without any inventive work shall fall within the protection scope of the present invention, and the principle and features of the present invention shall be described below with reference to the accompanying drawings.
The terms "comprises" and "comprising," when used in this specification and claims, and in the accompanying drawings and figures, are intended to cover non-exclusive inclusions, such that a process, method or system, or apparatus that comprises a list of steps or elements is not limited to the listed steps or elements.
Referring to fig. 1, fig. 1 is a schematic flow chart of a real-time vehicle accident warning method according to an embodiment of the present invention, including:
s101, vehicle body data are collected and uploaded to a server, and the server generates a unique key for each vehicle to store corresponding vehicle body data;
after receiving the vehicle body data, the server generates a unique key for each vehicle and stores the relevant vehicle body data.
The vehicle body data at least comprise a vehicle GPS position, vehicle sensor acquisition data and a license plate number, the vehicle GPS position is uploaded to a server in real time, and the sensor acquisition data is uploaded to the server when the data change.
The vehicle sensor acquisition data may include one or more of the following sensor data: vehicle speed sensors, acceleration sensors, torque sensors, hydraulic sensors, body height sensors, crankshaft position sensors, brake pressure sensors, etc., and vehicle sensors collect data including, but not limited to, the above types of sensor data. And the license plate number is uploaded to the server for the first time and is not uploaded any more.
S102, when the vehicle body data uploaded by the vehicle exceeds the preset parameter range, acquiring vehicle abnormal information and uploading the vehicle abnormal information to a server, searching nearby vehicles according to the GPS positions of the abnormal vehicles by the server, and stopping reminding of the danger of the nearby vehicles.
And analyzing the acquired information of the vehicle body sensor, such as the information of the brake state and the like, judging that a problem exists if the related parameters of the vehicle exceed the range of preset parameters, and acquiring abnormal information of the vehicle and uploading the abnormal information to a server.
Optionally, when the vehicle body data uploaded by the vehicle exceeds a preset parameter range, determining that the vehicle is abnormal, acquiring vehicle abnormal information and uploading the vehicle abnormal information to the server; and after the vehicle is flamed out, resetting the abnormal information of the vehicle in the server.
Specifically, interruption reminding is performed through a vehicle-mounted entertainment system or a vehicle navigation application, and dangers existing in nearby vehicles are warned in an early warning mode.
In another embodiment, as shown in fig. 2, fig. 2 provides another flow chart of a real-time vehicle accident warning method, which includes:
and acquiring vehicle body data including additional information such as GPS position information, related sensor information, license plate number and the like.
The collected GPS position information, license plate number and other information are uploaded to a server, the server generates a unique key for each vehicle and correspondingly stores relevant data, the GPS data are uploaded in real time, and other basic information is uploaded when the basic information is uploaded for the first time or is changed.
And analyzing the acquired vehicle body sensor information, judging that the vehicle is abnormal if the related parameters exceed the range of preset parameters, and uploading the abnormal information of the vehicle to a server. When the vehicle is turned off, the vehicle abnormality information data is reset.
And after receiving the abnormal information, the server searches the corresponding vehicle and inquires the nearby vehicle according to the GPS position information of the vehicle. If vehicles exist in a certain range nearby, the interruption of functions such as VR and the like is triggered to remind the user of the danger nearby.
By the method provided by the embodiment, unnecessary traffic accidents caused by non-intercommunication of information can be avoided, potential dangers can be identified in advance, accidents are reduced, and driving safety is improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 3 is a schematic structural diagram of a real-time vehicle accident warning system provided in an embodiment of the present invention, including:
the vehicle body data acquisition module 310 is used for acquiring vehicle body data and uploading the vehicle body data to the server;
the storage module 320 is used for receiving the vehicle body data uploaded by the vehicles and generating a unique key for each vehicle to store the corresponding vehicle body data;
the data analysis module 330 is configured to obtain vehicle abnormal information and upload the vehicle abnormal information to the server when vehicle body data uploaded by the vehicle exceeds a preset parameter range;
optionally, when the vehicle body data uploaded by the vehicle exceeds a preset parameter range, determining that the vehicle is abnormal, acquiring vehicle abnormal information and uploading the vehicle abnormal information to the server; and after the vehicle is flamed out, resetting the abnormal information of the vehicle in the server.
And the early warning module 340 is used for searching nearby vehicles according to the abnormal vehicle GPS and interrupting to remind the nearby vehicles of the danger.
Specifically, interruption reminding is performed through a vehicle-mounted entertainment system or a vehicle navigation application, and dangers existing in nearby vehicles are warned in an early warning mode.
The vehicle body data acquisition module 310 and the data analysis module 330 are vehicle-end functional modules, and the storage module 320 and the early warning module 340 are server-end functional modules. The vehicle end and the server end realize data transmission through wireless communication, and the server is generally connected with a plurality of vehicles, receives vehicle acquisition data and carries out early warning on surrounding vehicles.
It is understood that, in one embodiment, the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program performs steps S101 to S102 as in the first embodiment, and the processor implements the early warning of the vehicle accident around the vehicle when executing the computer program.
Those skilled in the art will appreciate that all or part of the steps in the method according to the above embodiments may be implemented by hardware that is related to instructions of a program, and the program may be stored in a computer-readable storage medium, such as ROM/RAM.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A real-time early warning method for vehicle accidents is characterized by comprising the following steps:
the method comprises the steps that vehicle body data of vehicles are collected and uploaded to a server, and the server generates a unique key for each vehicle to store corresponding vehicle body data;
when the vehicle body data uploaded by the vehicle exceeds the preset parameter range, acquiring vehicle abnormal information and uploading the vehicle abnormal information to the server, searching nearby vehicles according to the GPS positions of the abnormal vehicles by the server, and stopping reminding of the danger of the nearby vehicles.
2. The method of claim 1, wherein the body data includes at least a vehicle GPS location, vehicle sensor data, and license plate number, and wherein the vehicle GPS location is uploaded to a server in real time and the sensor data is uploaded to the server as data changes.
3. The method according to claim 1, wherein when the vehicle body data uploaded by the vehicle exceeds a preset parameter range, acquiring vehicle abnormality information and uploading the vehicle abnormality information to the server further comprises:
when the vehicle body data uploaded by the vehicle exceeds a preset parameter range, judging that the vehicle is abnormal, acquiring vehicle abnormal information and uploading the vehicle abnormal information to a server;
and after the vehicle is flamed out, resetting the abnormal information of the vehicle in the server.
4. The method according to claim 1, characterized in that the interruption alert is a specific alert of the presence of a danger to a nearby vehicle:
and interruption reminding is carried out through a vehicle-mounted entertainment system or a vehicle navigation application, and the danger of nearby vehicles is warned in an early warning manner.
5. A real-time early warning system for vehicle accidents, comprising:
the vehicle body data acquisition module is used for acquiring vehicle body data and uploading the vehicle body data to the server;
the storage module is used for receiving the vehicle body data uploaded by the vehicles and generating a unique key for each vehicle to store the corresponding vehicle body data;
the data analysis module is used for acquiring vehicle abnormal information and uploading the vehicle abnormal information to the server when the vehicle body data uploaded by the vehicle exceeds a preset parameter range;
and the early warning module is used for searching nearby vehicles according to the abnormal vehicle GPS and interrupting to remind the nearby vehicles of the danger.
6. The system of claim 5, wherein the body data comprises at least a vehicle GPS position, vehicle sensor data and license plate number, the vehicle GPS position is uploaded to the server in real time, and the sensor data is uploaded to the server when data changes.
7. The system of claim 5, wherein when the vehicle body data uploaded by the vehicle exceeds a preset parameter range, the obtaining of the vehicle abnormality information and uploading to the server further comprises:
when the vehicle body data uploaded by the vehicle exceeds a preset parameter range, judging that the vehicle is abnormal, acquiring vehicle abnormal information and uploading the vehicle abnormal information to a server;
and after the vehicle is flamed out, resetting the abnormal information of the vehicle in the server.
8. The system according to claim 5, characterized in that the interruption alert is specific to the presence of a hazard in a nearby vehicle:
and interruption reminding is carried out through a vehicle-mounted entertainment system or a vehicle navigation application, and the danger of nearby vehicles is warned in an early warning manner.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110176076.XA CN112950939A (en) | 2021-02-06 | 2021-02-06 | Vehicle accident real-time early warning method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110176076.XA CN112950939A (en) | 2021-02-06 | 2021-02-06 | Vehicle accident real-time early warning method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112950939A true CN112950939A (en) | 2021-06-11 |
Family
ID=76244581
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110176076.XA Pending CN112950939A (en) | 2021-02-06 | 2021-02-06 | Vehicle accident real-time early warning method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112950939A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115116270A (en) * | 2022-07-07 | 2022-09-27 | 上海工物高技术产业发展有限公司 | Directional road traffic anti-collision early warning system and method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102013005468A1 (en) * | 2013-03-28 | 2014-10-02 | Dieter WALLBAUM | Device for warning pedestrians, cyclists or other road users of approaching rails or energetically bound vehicles |
| CN107093331A (en) * | 2016-02-17 | 2017-08-25 | 上海博泰悦臻网络技术服务有限公司 | A kind of black spot method for early warning, system and a kind of intelligent vehicle-mounted system |
| CN108062869A (en) * | 2016-11-09 | 2018-05-22 | 郑州大学 | Expressway chain collision method for early warning and system |
| CN111369826A (en) * | 2020-02-28 | 2020-07-03 | 上海擎感智能科技有限公司 | Dangerous vehicle reminding method, reminding device, readable storage medium and electronic equipment |
-
2021
- 2021-02-06 CN CN202110176076.XA patent/CN112950939A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102013005468A1 (en) * | 2013-03-28 | 2014-10-02 | Dieter WALLBAUM | Device for warning pedestrians, cyclists or other road users of approaching rails or energetically bound vehicles |
| CN107093331A (en) * | 2016-02-17 | 2017-08-25 | 上海博泰悦臻网络技术服务有限公司 | A kind of black spot method for early warning, system and a kind of intelligent vehicle-mounted system |
| CN108062869A (en) * | 2016-11-09 | 2018-05-22 | 郑州大学 | Expressway chain collision method for early warning and system |
| CN111369826A (en) * | 2020-02-28 | 2020-07-03 | 上海擎感智能科技有限公司 | Dangerous vehicle reminding method, reminding device, readable storage medium and electronic equipment |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115116270A (en) * | 2022-07-07 | 2022-09-27 | 上海工物高技术产业发展有限公司 | Directional road traffic anti-collision early warning system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP5659939B2 (en) | Vehicle detection system, in-vehicle device and center | |
| KR101405679B1 (en) | An abnormal driving state detact and warning system which based on location-based service | |
| JP2007047914A (en) | Danger reaction point recording system and operation support system | |
| US11170639B2 (en) | Transportation threat detection system | |
| CN112734242B (en) | Availability analysis method and device of vehicle running track data, storage medium and terminal | |
| CN101840632A (en) | Method and system for monitoring abnormal driving behavior in vehicle | |
| CN112700640B (en) | Road state monitoring method, server, vehicle-mounted equipment and road side equipment | |
| JP6776373B2 (en) | Methods, devices, and systems for detecting reverse-way drivers | |
| CN111829548A (en) | Dangerous road segment detection method and device, readable storage medium and electronic equipment | |
| JP2007323281A (en) | Danger occurrence point information collection system, on-vehicle device, and danger occurrence point information collection device | |
| CN105235680A (en) | Pedestrian avoiding method and system based on cloud computing | |
| CN108806331B (en) | Method and system for preventing secondary traffic accidents on highway | |
| CN114987502B (en) | Driving state monitoring method and device, computer equipment and storage medium | |
| CN111613060B (en) | Data processing method and equipment | |
| JP2023067970A (en) | Information processor | |
| CN112950939A (en) | Vehicle accident real-time early warning method and system | |
| CN111754815A (en) | Control device, server, security system, and control method for control device | |
| CN108556847B (en) | Energy recovery method, device and system | |
| CN111367968B (en) | Driving data processing method, device, equipment and storage medium | |
| JP2019519044A (en) | Method, apparatus and system for detecting reverse running driver | |
| JP6732053B2 (en) | Method, apparatus, and system for detecting reverse-drive drivers | |
| JP2022002118A (en) | Information processor, server device, information processing method, and program | |
| CN213601264U (en) | Driving behavior analysis and evaluation system | |
| CN114419888A (en) | Safety early warning method, device, equipment and storage medium for freight vehicle | |
| JP6921302B2 (en) | Notification system and notification method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210611 |
|
| RJ01 | Rejection of invention patent application after publication |