Study on the influence of smoke spreading on fire detection in atrium space

Abstract

Abstract:

Mathematical simulation is carried out to study the fire smoke spreading and detection process of atrium with different ceiling heights. The temperature near the ceiling and visibility cloud chart are studied. The parameters curve features of linear beam smoke detection, extinction coefficient, and temperature with different ceiling height are analyzed.Results showed that, when the time of extinction rate near the ceiling reaching 50%/m and the ceiling height have good functional relation of y=26.58 × 1.06x, R=0.996; when the ceiling height is not less than 30 m, arrange the linear beam fire detector vertically is a good choice. The study can provide technical reference for the fire design of atrium and the arrangement of fire alarm system, and improve the building fire safety level.

Key words: atrium space, smoke spread, fire detection, mathematical simulation

MA Wei-ming, XU Lei. Study on the influence of smoke spreading on fire detection in atrium space[J]. Fire Science and Technology, 2020, 39(12): 1680-1683.

[1]	Li Xiaoxu, Li Boning, Zhang Xi, Yu Chunyu, . Image fire detection algorithm based on YOLOv5 with CA-Res attention mechanism [J]. Fire Science and Technology, 2023, 42(8): 1113-1116.
[2]	Wang Naiyu, Wang Zhuo, Zhang Zichao, Wu Jinting. Reserch on forest fire detection base on improved YOLOv5 [J]. Fire Science and Technology, 2023, 42(8): 1117-1120.
[3]	Hao Yongqi, Liu Xiaoming, Zhang Guofang. A system of flame location and automatic tracking for fire-fighting robot [J]. Fire Science and Technology, 2023, 42(7): 966-971.
[4]	An Weiguang, Guang Daqing, Chen Fanbao. The effect of tank truck speed on the temperature distribution and smoke spread of tunnel fire [J]. Fire Science and Technology, 2023, 42(6): 742-746.
[5]	Deng Li, Xie Shuangshuang, He Yuanhua, Liu Quanyi. Research on multi parameter detection technology of civil aircraft cargo compartment fire based on millimeter wave [J]. Fire Science and Technology, 2023, 42(3): 370-373.
[6]	Han Lei, Qu Na, Sui Yufan, Tan Lili. Research on fire detection based on BSO-ELM [J]. Fire Science and Technology, 2023, 42(1): 103-106.
[7]	Luo Tao, Wang Jikang , Wang Xingguo, Gao Junbo . Test and monitoring research on smoke spread caused by fire in pumped storage power station [J]. Fire Science and Technology, 2022, 41(9): 1199-1204.
[8]	Liu Gui, An Ke, Wu Jiaxin, Lin Ziyan. Design of reconnaissance and fire fighting robot system [J]. Fire Science and Technology, 2022, 41(9): 1273-1277.
[9]	XIE Jing-rong, LI Ning-ning. Reliability analysis of independent fire detection alarm networking system [J]. Fire Science and Technology, 2022, 41(7): 1001-1004.
[10]	ZHANG Miao, LI Pu, YANG Yi, SONG Wen-hua. Image fire detection algorithms based on object detection convolutional neural networks [J]. Fire Science and Technology, 2022, 41(6): 807-811.
[11]	ZHANG Yu, He Yong-yong. Factory cafes fire hazard analysis and numerical simulation [J]. Fire Science and Technology, 2022, 41(5): 658-662.
[12]	JIA Rong-tian, YUAN Chun-miao, CAI Jing-zhi, ZHENG Hao-tian. Design of multi parameter fire detection system based on neural network algorithm [J]. Fire Science and Technology, 2022, 41(4): 526-529.
[13]	ZHONG Rui1,2, LU Shou-xiang1. Application of optimized neural network in multi-sensor fire detection [J]. Fire Science and Technology, 2022, 41(3): 394-397.
[14]	Guan Wenling, Wang Huoqin, Dong Chengjie, Wang Hongwei. Experimental investigation on suppression of wheat starch explosion by 4A zeolite [J]. Fire Science and Technology, 2022, 41(10): 1380-1083.
[15]	Yuan Yanhua, Lu Qizhao, Xie Qiyuan. Study of injection characteristics of high-pressure fluoropropane and local damage by sudden cooling in enclosed room [J]. Fire Science and Technology, 2022, 41(10): 1440-1444.

Study on the influence of smoke spreading on fire detection in atrium space

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments