Scenario deduction of gas explosion accidents in coal mine fire areas based on Bayesian network
LAN Zequan
LI Yulin
KUANG Yonghua
ZHANG Lina
ZHANG Ming
Abstract：In order to prevent serious casualties and property losses caused by gas explosion accidents in coal mine fire areas,the evolution process of gas explosion accidents in coal mine fire areas is studied by using knowledge elements,scenario construction,and deduction theory.Taking the gas explosion accident in a certain mine in July 2014 as an example,a coal mine fire area gas explosion accident scenario network based on dynamic Bayesian network prediction model is constructed from four dimensions:scenario state,emergency objectives,disposal measures,and disaster environment.The probability of accident scenario occurrence is cal-culated,and its evolution law is analyzed.The results indicate that the inferred results of gas explosion acci-dents in coal mine fire areas are basically consistent with the actual development scenario,verifying the ration-ality of the prediction model.The research results can provide technical support for the prevention of gas ex-plosion accident risk in fire areas,the improvement and improvement of emergency plans,and emergency deci-sion-making.
Keywords：scenario deductiongas explosionBayesian networkknowledge element
Publication Date：2023-12-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 16-22 )