中国矿山工程

It is difficult to objectively and accurately evaluate the safety status of gas prevention and control systems in gas outburst mines. This article first analyzes the factors affecting the safety status of the mine gas prevention and control system, and based on this, constructs a safety status evaluation system for the mine gas prevention and control system. Secondly, based on the Analytic Hierarchy Process and combined with the Particle Swarm Optimization (PSO) algorithm, the judgment matrix is optimized and modified, and the weights of each indicator in the evaluation system are calculated on the basis of reducing subjective influence. Finally, based on cloud theory and the weights of secondary and primary indicators, the cloud digital features of the total indicator are calculated, and a standard cloud model for evaluation indicators is generated using a forward cloud generator in Matlab. And taking a typical gas outburst mine in Guizhou Province as the research object, combined with the actual investigation situation of the mine site, the comprehensive discrimination and evaluation standard index cloud of the safety status of the mine gas prevention and control system was obtained, and the accurate evaluation of the safety status of the mine gas prevention and control system was made, and corresponding rectification measures were proposed. The research results have important significance for the objective and accurate evaluation of the safety status of gas prevention and control systems in gas outburst mines and for coal mine safety production.