摘要
近年来汽车火灾事故频发,对车辆安全运行构成严重威胁。据此,设计了基于多传感融合的火灾预警系统,通过建立车载传感器网络实现多源信息采集,提出改进的D-S证据理论融合算法并进行特征提取与融合,构建深度学习预警决策模型并完成火灾风险评估。实车验证证明,该系统能有效实现火灾早期预警,为提升汽车安全性提供了新的技术方案。
In recent years,automobile fire accidents have occurred frequently,posing a serious threat to the safe operation of vehicles.This paper designs a fire early warning system based on multi-sensor fusion.Multi-source information collection is achieved by establishing a vehicle-mounted sensor network.An improved D-S evidence theory fusion algorithm is proposed for feature extraction andfusion,and a deep learning early warning decision-making model is constructed to complete fire risk assessment.The real vehicle verification proves that this system can effectively achieve early warning of fires and provide a new technical solution for improving the safety of automobiles.
作者
杨淑青
Yang Shuqing(Qingdao Shibei District Fire and Rescue Bureau,Qingdao 260000,China)
出处
《专用汽车》
2025年第8期85-87,共3页
Special Purpose Vehicle
关键词
汽车火灾预警
多传感融合
D-S证据理论
风险评估
Automobile fire early warning
Multi-sensor fusion
D-S Evidence theory
Risk assessment
