In-vehicle personnel trauma risk prediction method for traffic accident rapid rescue

Abstract

The invention belongs to the technical field of traffic accident rescue, and particularly relates to an in-vehicle personnel trauma risk prediction method for traffic accident rapid rescue. The method comprises the following steps: S0, building a basic model for passenger injury analysis based on preset initial parameters, wherein input parameters of the basic model comprise dynamic boundary data, constraint system execution data and passenger basic data, and output parameters comprise human body injury simulation data; S1, acquiring accident data within a preset time before and after a vehicle collision through a vehicle-mounted electronic system, and sending the accident data to a background end, wherein the accident data comprises dynamic boundary data, constraint system execution data and passenger basic data; s2, replacing the initial parameters in the basic model with the accident data, performing vehicle collision simulation analysis, and obtaining human body injury simulation data; s3, performing injury condition analysis according to the human injury simulation data to obtain an injury analysis result. The method can provide accurate rescue guidance for a rescue center.

Description

technical field [0001] The invention belongs to the technical field of traffic accident rescue, and in particular relates to a trauma risk prediction method for people in a vehicle for rapid rescue of traffic accidents. Background technique [0002] After a traffic accident, in order to realize the rapid deployment of rescue plans by traffic law enforcement departments and provide guidance for the precise allocation of medical emergency supplies, a vehicle-mounted emergency call system appeared. [0003] The on-board emergency call system can automatically detect the occurrence of an accident, the location of the accident, the time of the accident, the impact force, the number of occupants, and the injury of personnel through the built-in algorithm and send it to the call center, thereby greatly improving the response rate of emergency rescue. At present, the occupant's injury estimation in the on-board emergency call system is realized by calculating the variation of vehicl...

AI Technical Summary

Problems solved by technology

However, using this method, the evaluation of occupant injury is not accurate, because it does not take into account the difference in the shape of the vehicle when it collides, and the probability and degree of injury of the vehicle and its occupants are different when the shape of the vehicle is different during the collision; Therefore, even if the vehicle shape is the same at the time of the collision, the state of the vehicle occupant is different, such as the occupant's sitting posture is different, and whether the occupant is fastened with a seat belt will also affect the degree of injury

[0004] Therefore, although the use of the existing vehicle-mounted emergency call system can provide certain guidance on the allocation of medical emergency supplies and improve the response speed of emergency rescue, but because the accuracy of the analysis of the occupant's injury is not high enough, the hospital personnel will still be unable to respond after arriving at the scene. It often happens that the prepared rescue plan does not match the actual injury conditions of the occupants, resulting in the effectiveness of the emergency treatment for the injured occupants on the spot cannot be guaranteed, and they still need to go to the emergency center to receive targeted treatment. Emergency time and the injury is aggravated or the effect of treatment is affected

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