CN-121982914-A - Abnormal accident early warning method, system and device and electronic equipment

CN121982914ACN 121982914 ACN121982914 ACN 121982914ACN-121982914-A

Abstract

The embodiment of the application relates to the technical field of vehicles and discloses an abnormal accident early warning method, a system, a device and electronic equipment, wherein the method comprises the steps of responding to received abnormal accident information sent by a vehicle, and determining a target area influenced by the abnormal accident based on the position of the abnormal accident and the accident type of the abnormal accident indicated in the abnormal accident information; the abnormal accident information comprises an accident type of an abnormal accident, a position of the abnormal accident and image data of the abnormal accident, the accident type comprises at least one of road collapse, bridge deck fracture, flood, landslide and falling rocks, early warning information is generated based on the type of the abnormal accident, the position of the abnormal accident and the image data of the abnormal accident, and the early warning information is sent to an adjacent vehicle, wherein the distance between the adjacent vehicle and a target area is smaller than or equal to a preset distance range. By applying the technical scheme of the application, the early warning can be quickly carried out when an abnormal accident occurs.

Inventors

LI XIAN
DU CHANGHONG
ZHONG CHUAN
ZUO JIAN

Assignees

深蓝汽车科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260107

Claims (10)

1. An abnormal accident pre-warning method, which is characterized by comprising the following steps: Determining a target area affected by the abnormal accident based on the position of the abnormal accident and the accident type of the abnormal accident indicated in the abnormal accident information in response to receiving the abnormal accident information sent by the vehicle, wherein the abnormal accident information comprises the accident type of the abnormal accident, the position of the abnormal accident and image data of the abnormal accident; Generating early warning information based on the type of the abnormal accident, the position of the abnormal accident and the image data of the abnormal accident, wherein the early warning information is used for prompting other vehicles passing through the target area to avoid danger; and sending the early warning information to an adjacent vehicle, wherein the adjacent vehicle is a vehicle with a distance from the target area being smaller than or equal to a preset distance range.
2. The method for early warning of an abnormal event according to claim 1, wherein the abnormal event information further includes posture information of a vehicle, and wherein the determining a target area affected by the abnormal event based on the position of the abnormal event indicated in the abnormal event information and the type of the abnormal event includes: taking the position of the abnormal accident as the center, and determining an area within a preset distance from the abnormal accident as an initial area of the abnormal accident; Inputting the attitude information of the vehicle into an abnormal accident severity determining model, determining the degree of the vehicle deviating from a normal running attitude according to the attitude information of the vehicle through the normal accident severity determining model, and determining the severity of the abnormal accident; determining the influence degree of the abnormal accident based on the accident type of the abnormal accident; determining an area adjustment variable amount based on the severity of the abnormal accident and the influence degree of the abnormal accident, wherein the area adjustment variable amount is positively correlated with the severity; And adjusting the initial region based on the region adjustment variation to obtain the target region.
3. The abnormal event early warning method according to claim 1, wherein the target area is determined by: Extracting the spatial distribution characteristics of the abnormal accidents in the images based on the image data of the abnormal accidents in the abnormal accident information, wherein the spatial distribution characteristics comprise at least one of an accident influence range and a pavement damage degree; Determining a basic influence area of the abnormal accident based on the accident influence range and the accident type of the abnormal accident; Determining the risk degree of the potential accident caused by the abnormal accident based on the pavement damage degree; and correcting the basic influence area based on the risk degree of the potential accident to obtain the target area.
4. The abnormal event early warning method according to claim 1, wherein the transmitting the early warning information to the neighboring vehicle includes: determining a target geographic range subscription channel corresponding to the abnormal accident based on the position of the abnormal accident, wherein the geographic range subscription channels are message transmission channels for sending the early warning information, and each geographic range subscription channel corresponds to the geographic range of a section of fixed road; and the target geographic scope subscription channel is used for sending the early warning information to the adjacent vehicles subscribed to the target geographic scope subscription channel.
5. The abnormal event early warning method according to claim 1, wherein the transmitting the early warning information to the neighboring vehicle includes: Determining the duration time of the early warning information according to the severity of the abnormal accident, wherein the duration time is positively correlated with the severity of the abnormal accident; and continuously sending the early warning information to the adjacent vehicle within the duration.
6. The abnormal accident early warning system is characterized by comprising a vehicle and a cloud server; The vehicle is configured to send abnormal accident information to the cloud server in response to detecting that an abnormal accident occurs; the cloud server is configured to perform abnormal accident early warning based on the abnormal accident early warning method of any one of claims 1 to 5.
7. The abnormal event early warning system of claim 6, wherein the vehicle is further configured to, Acquiring surrounding environment image data in response to receiving an abnormal accident reporting instruction; Determining whether an abnormal event occurs based on the surrounding environment image data; The abnormal accident reporting instruction is triggered by at least one of the following modes: Receiving the operation of triggering reporting physical buttons or triggering reporting virtual controls of a user; And receiving the voice of the user reporting the accident information.
8. The abnormal event early warning system of claim 6, wherein the vehicle is further configured to, And sending the early warning information to the adjacent vehicle based on the near field communication module.
9. An abnormal event early warning device, comprising: A determining unit, configured to determine a target area affected by an abnormal accident based on a position of the abnormal accident indicated in the abnormal accident information and an accident type of the abnormal accident in response to receiving abnormal accident information sent by a vehicle, wherein the abnormal accident information includes an accident type of the abnormal accident, a position of the abnormal accident, and image data of the abnormal accident; The generation unit is used for generating early warning information based on the type of the abnormal accident, the position of the abnormal accident and the image data of the abnormal accident, wherein the early warning information is used for prompting other vehicles passing through the target area to avoid danger; And the sending unit is used for sending the early warning information to a nearby vehicle, wherein the nearby vehicle is a vehicle with the distance from the target area being smaller than or equal to a preset distance range.
10. An electronic device is characterized by comprising a processor; A memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method of any one of claims 1to 5.

Description

Abnormal accident early warning method, system and device and electronic equipment Technical Field The application relates to the technical field of vehicles, in particular to an abnormal accident early warning method, an abnormal accident early warning system, an abnormal accident early warning device and electronic equipment. Background Along with the continuous perfection of expressway construction, more and more road sections pass through complicated geological areas such as mountain areas, rivers and the like, the complexity and the risk coefficient of road traffic environment are synchronously increased, and sudden abnormal accidents caused by natural disasters are directly caused to frequently happen, such as road collapse, bridge collapse, landslide, flood impact, falling rocks and the like. The accident has the characteristics of sudden occurrence and wide influence range, once the interlinked traffic accident is extremely easy to cause, serious threat is formed to the driving safety of the passing vehicle, the existing early warning means depend on manual inspection or feedback afterwards, the problems of lag response and limited coverage range exist, and alarm information cannot be sent out in time, so that the problem of how to rapidly early warn when the abnormal accident occurs is the current urgent problem to be solved. Disclosure of Invention In view of the above-mentioned shortcomings of the prior art, the present application aims to provide an abnormal accident early warning method, system, device and electronic equipment, which aim to realize rapid early warning when an abnormal accident occurs. In a first aspect, the embodiment of the application provides an abnormal accident early warning method, which comprises the steps of responding to abnormal accident information sent by a vehicle, determining a target area affected by the abnormal accident based on the position of the abnormal accident and the accident type of the abnormal accident, which are indicated in the abnormal accident information, wherein the abnormal accident information comprises the accident type of the abnormal accident, the position of the abnormal accident and image data of the abnormal accident, the accident type comprises at least one of road collapse, bridge deck fracture, flood, landslide and falling stone, the early warning information is generated based on the type of the abnormal accident, the position of the abnormal accident and the image data of the abnormal accident, the early warning information is used for prompting other vehicles passing through the target area to avoid danger, and the early warning information is sent to an adjacent vehicle, wherein the distance between the adjacent vehicle and the target area is smaller than or equal to a preset distance range. The method has the beneficial effects that the target area is accurately determined by receiving the abnormal accident information reported by the vehicle and combining the position, the type, the image and other data of the abnormal accident, so that the early warning is ensured to be focused on the actual affected area only. Based on accident key information early warning information, the information is sent to adjacent vehicles, so that accurate sending of the early warning information to a target vehicle is realized, interference caused by receiving the early warning information by irrelevant vehicles is avoided, and timely acquisition of early warning content by vehicles in an affected area is ensured. Compared with the prior art that abnormal accident information is obtained through manual work and road side fixed equipment, the vehicle is used as sensing equipment to directly report the information, the mode of manually inspecting or periodically obtaining the abnormal information by the road side equipment is not needed, the time and space limitation caused by the fixed sensing mode are avoided, the timeliness and coverage range of accident information obtaining are improved, and the early warning time of the abnormal accident is shortened. In some embodiments, the abnormal accident information further comprises attitude information of the vehicle, a target area affected by the abnormal accident is determined based on the position of the abnormal accident and the accident type of the abnormal accident indicated in the abnormal accident information, the target area is determined based on the position of the abnormal accident and the accident type of the abnormal accident, the target area is determined based on the position of the abnormal accident and the initial area, the attitude information of the vehicle is input into an abnormal accident severity determining model, the degree of deviation of the vehicle from a normal driving attitude is determined according to the attitude information of the vehicle through the abnormal accident severity determining model, the severity of the abnormal accident is determined based on the accident ty