Study on maintenance frequency of coal chemical fire protection system based on Bayesian network analysis

Fire Science and Technology ›› 2024, Vol. 43 ›› Issue (2): 168-172.

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Study on maintenance frequency of coal chemical fire protection system based on Bayesian network analysis

Wang Jun1, 2, Fang Zheng1, Xing Wang3, Yu Shujian4

(1. School of Civil Engineering, Wuhan University, Hubei Wuhan 430072, China; 2. Wuhan Municipal Engineering Design & Research Institute, Hubei Wuhan 430023, China; 3. Baotou Fire and Rescue Division, Inner Mongolia Baotou 014030, China; 4. United International College of Beijing Normal University and Hong Kong Baptist University, Guangdong Zhuhai 519031, China)

Online:2024-02-15 Published:2024-02-15

Abstract

Abstract: Due to inadequate maintenance, the system can't function or even be paralyzed frequently. In this paper, the risk assessment method based on Bayesian network is used to analyze the causes of fire in coal gasification plant, and the risk assessment of syngas leakage and accident consequences is carried out. Combined with risk assessment, the maintenance frequency of fire fighting system is studied, and an evaluation algorithm determining the maintenance cycle of firefighting system suitable for the inherent risks of coal gasification plant is proposed, which can realize accident prevention and reduce disaster losses to a high degree.

Key words: coal gasification, Bayesian network, risk assessment, fire fighting system, maintenance frequency

Wang Jun, , Fang Zheng, Xing Wang, Yu Shujian. Study on maintenance frequency of coal chemical fire protection system based on Bayesian network analysis[J]. Fire Science and Technology, 2024, 43(2): 168-172.

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Study on maintenance frequency of coal chemical fire protection system based on Bayesian network analysis

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