Fire and explosion analysis of filling station based on fuzzy mathematics and Bayesian network model

In order to explore the basic events and risk occurrence probability of fire explosion accidents in CNG (Compressed Natural Gas) filling station, a corresponding Bayesian network model was established based on fault tree station. The prior modified by introducing fuzzy mathematics process transforming into network, posterior station analyzed calculated GeNIe software. Finally, through case analysis, it is found out that most dangerous factors lead greatest are: personnel misoperation, management defects, etc. After verifying model, shows paying attention polymorphism base determining rationality logical relationship between can calculate more accurate distribution events, at same time provide reasonable suggestions for accident prevention gas