基于多传感器融合的公路隧道新能源汽车火灾快速预警救援系统
Rapid Early Warning and Rescue System of New Energy Vehicle Fire in Highway Tunnel Based on Multi-sensor Fusion
刘碧波 1文龙 2卫佳 2付立家3
作者信息
- 1. 广东博大高速公路有限公司博深分公司,广东惠州 516100
- 2. 重庆交通大学交通运输学院,重庆 400074
- 3. 招商局重庆交通科研设计院有限公司,重庆 400067
- 折叠
摘要
针对现有火灾预警系统存在的检测器单一、各系统融合度不同的问题,基于新能源汽车热失控过程中可检测到的多种信号,利用多传感器检测数据融合,提出了一套基于多传感器融合的公路隧道新能源汽车火灾快速预警系统.分析表明,该系统可解决单一检测器检测不及时、不准确的问题,实现了不同传感器之间的优势互补.并且,还可根据预警级别采取不同隧道消防控制策略,避免了因灾情处理不及时产生的二次灾害问题.
Abstract
In light of the limitations posed by single-detector systems and varying degrees of integration within existing fire warning systems,a rapid fire warning system for new energy vehicles in highway tunnels was proposed.This multi-sensor fusion was used to integrate multiple signals detected during thermal runaway events.The analysis demonstrates that this approach effectively mitigates the issues associated with untimely and inaccurate detection inherent in single-detector setups,while also harnessing the complementary strengths of different sensors.Furthermore,this advanced system enables the implementation of diverse tunnel fire control strategies based on the severity level indicated by warnings.This proactive approach helps prevent secondary disasters resulting from delayed disaster response efforts.
关键词
隧道/火灾预警/多传感器/数据融合/分级预警Key words
tunnel/fire warning/multi-sensor/data fusion/hierarchical early warning引用本文复制引用
基金项目
重庆英才创新领军人才项目(CQYC20210301505)
出版年
2024
NETL
NSTL
万方数据