AUTHOR=Guo Wei , Pu Ziheng , Ren Zhigang , Zhou Shiyi , Quan Lang , Men Yekun , Pan Zehua 

TITLE=Analysis of Abnormal Detection Data of Fire Accident in Power Cable Tunnel and Field Test Study on Characteristic Parameters of Tunnel Fire

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.860707

DOI=10.3389/fenrg.2022.860707

ISSN=2296-598X

ABSTRACT=With the continuous expansion of urban cable scale and the increase of service time, the fire accident risk of cable tunnel also increases. Defects in configuration of fire prevention measures leads to many fire accidents and seriously affects the reliability of power supply. Firstly, the detection data of a typical tunnel fire accident are analyzed in this paper. The results show that the main problems are the unreasonable installation position of fire extinguisher, the lack of fire prevention measures between intermediate joints and the insufficient fire prevention performance of interlayer fire barriers. Then, the field-test of cable tunnel fire is carried out in a cable tunnel to be put into operation. The test data show that the high temperature area is mainly concentrated on the top of the tunnel, and the insufficient suspension height of the fire extinguisher will affect the trigger time. The energy of short circuit accident is large, the cable burns and spreads rapidly, and the delayed triggering may lead to too large fire to extinguish effectively. Comparing the simulation and test results of abnormal characteristic parameters in fire, the temperature error is less than 4%. The fire power development curve is obtained through simulation, and the burner power is set to test the fire prevention and extinguishing devices. Finally, the optimal configuration scheme of fire anomaly data detection equipment and fire extinguishing products is proposed. The temperature drop rate increased by about 135%.