Study on the spatial distribution of potential fire sources in highway tunnels

Jiangbi Hu; Guohui Li; Aolin Yu; Chao Yang; Xiaoxiong Wang; Yongjun Shao; Weigang Liu; Yahong Liu

doi:10.1117/12.2678924

15 May 2023 Study on the spatial distribution of potential fire sources in highway tunnels

Jiangbi Hu, Guohui Li, Aolin Yu, Chao Yang, Xiaoxiong Wang, Yongjun Shao, Weigang Liu, Yahong Liu

Proceedings Volume 12699, Third International Conference on Sensors and Information Technology (ICSI 2023); 1269904 (2023) https://doi.org/10.1117/12.2678924
Event: International Conference on Sensors and Information Technology (ICSI 2023), 2023, Xiamen, China

Abstract

Fire accidents occur frequently in highway tunnels, and the process of fire source from generation to disaster in tunnels is very fast. It is of great significance to set fire detectors in highway tunnels to improve fire control ability, so as to ensure the safety of life and property. At present, there is still some phenomenon of failing to report or false alarm for fire detectors, and the sensing parameters and installation location of fire detectors need to be determined based on the spatial distribution pattern of fire sources to give full play to their accurate sensing function. In this paper, the spatial distribution pattern of potential fire sources in road tunnels is systematically revealed from the vehicle, road and tunnel facilities aspects, and the area within 1.5m of the tunnel headroom from the road surface is found to be the most concentrated high-risk area for potential fire source distribution. Finally, the layout of fire source sensing equipment in the high-risk areas of the tunnel and the suggestions for the emergency management of tunnel fire source sensing are put forward.

Citation Download Citation

Jiangbi Hu, Guohui Li, Aolin Yu, Chao Yang, Xiaoxiong Wang, Yongjun Shao, Weigang Liu, and Yahong Liu "Study on the spatial distribution of potential fire sources in highway tunnels", Proc. SPIE 12699, Third International Conference on Sensors and Information Technology (ICSI 2023), 1269904 (15 May 2023); https://doi.org/10.1117/12.2678924

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