Current situation and prospect of fire emergency technology research in highway tunnel
Guo Zhiguo1, 2, 3, LI Yixin1, Zhou Linjian1, 3, Zhang Yiheng1, Ye Yuji1
(1. School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341099,Jiangxi,China;
2. School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China;
3. Ganzhou Key Laboratory of Industrial Safety and Emergency Technology, Ganzhou 341099, Jiangxi, China)
Abstract: To provide a scientific basis for emergency responses to tunnel fire safety in our country, a systematic exposition has been conducted on the current status and progress of research in four areas: the characteristics of smoke behavior in highway tunnel fires, tunnel fire prediction technologies, tunnel fire detection and early warning technologies, and tunnel fire control technologies. To ascertain the combustion behavior and smoke spread characteristics of multiple fire sources in highway tunnels under the influence of complex coupled factors; to develop digital and intelligent tunnel fire prediction technologies based on advanced algorithms and techniques such as deep learning, AI data, and big data analytics; to employ next-generation information technologies like the internet, Internet of Things, and cloud computing to achieve rapid, real-time monitoring and intelligent early warning for tunnel fires; to develop integrated tunnel fire control technologies that combine fire extinguishing materials, smart emergency devices, multifunctional ventilation smoke exhaust technology, and intelligent evacuation systems; to establish a "comprehensive-efficient-collaborative" emergency technology system for the entire process of highway tunnel fires.
郭志国, 李益锌, 周令剑, 张一恒, 叶瑀伋. 公路隧道火灾应急技术研究现状与展望[J]. 隧道与地下工程灾害防治, .
Guo Zhiguo, LI Yixin, Zhou Linjian, Zhang Yiheng, Ye Yuji. Current situation and prospect of fire emergency technology research in highway tunnel. Hazard Control in Tunnelling and Underground Engineering, 0, (): 1-.