摘要
以南宁轨道交通5号线(以下简为“5号线”)为工程背景,提出了FAO(全自动运行)状态下影响5号线隧道区间安全的关键因素,对水灾和隧道区间外部入侵监测防控进行了分析,总结了当前业内对于此类问题的解决方案。通过采用视频智能分析、阵列光纤光栅传感、大数据分析等技术,搭建城市轨道交通线网智慧水灾预警系统和基于光栅阵列的隧道区间外部入侵智能监测系统,可以实现城市轨道交通FAO线路隧道区间水灾及外部入侵等安全状态的在线监测及预警。
Taking Nanning Rail Transit Line 5(′Line 5′ in short) as the engineering background, the key factors affecting the tunnel interval safety of Line 5 under FAO(fully automatic operation) mode are discussed, the monitoring and prevention of flood and tunnel interval external intrusion are analyzed, and solutions currently available in the industry are summarized. By using video intelligent analysis, array fiber grating sensing, big data analysis as well as other technologies, the intelligent flood early warning system of urban rail transit line network and the intelligent monitoring system of tunnel interval external intrusion based on grating array could be built, which enables the online monitoring and early warning of rail transit FAO line safety status including tunnel interval flood and external intrusion.
作者
黄俪
HUANG Li(Nanning Rail Transit Group Co.,Ltd.,530029,Nanning,China)
出处
《城市轨道交通研究》
北大核心
2023年第2期137-140,145,共5页
Urban Mass Transit
