Study on maintenance frequency of coal chemical fire protection system based on Bayesian network analysis
Due to inadequate maintenance,the system can't func-tion or even be paralyzed frequently.In this paper,the risk assess-ment 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.Com-bined with risk assessment,the maintenance frequency of fire fighting system is studied,and an evaluation algorithm determin-ing the maintenance cycle of firefighting system suitable for the in-herent risks of coal gasification plant is proposed,which can real-ize accident prevention and reduce disaster losses to a high degree.
coal gasificationBayesian networkrisk assessmentfire fighting systemmaintenance frequency