Research On Coal Mine Safety Evaluation System Based On BP Neural Network

Coal is the most import basis for energy and industrial raw materials in China’s energy, and the coal industry is an important basic industry to promote economic development, it is the basic guarantee for the economic development and is directly related to the economic lifeline of the Country. At the same time, coal industry is a high risk industry which causes a large number of casualties. What’s more, Study of safety assessment is lagging behind in the coal mine of Chine,and most of the evaluation method is not applicable to the complex system of coal mine. Therefore, the Study of coal mine safety evaluation is imperative.This paper take Malan coal mine as example,by studying the problems in the safety assessment, integrated using decision science,system science and information science theory and method, study the coal mine safety evaluation index system,analyze the merits of the popular safety assessment, and ultimately determine the BP neural network which will be used in coal mine safety assessment. Nest,the paper construct a safety evaluation model based on BP neural network and make related application research and case analysis based on Manlan mine, according to the results of the analysis,countermeasures and suggestions are proposed. Finally this paper combine computer information technology and safety assessment model, construct Malan mine Safety Evaluation Decision Support System based on B/S structure after the analysis of function requirements and modular design in order to achieve the informational process of Malan mine safety assessment.Through the establishment of a more complete and effective safety evaluation system, with application of advanced decision-making theory, it is aim to improve the efficiency of Manlan mine safety evaluation,reduce unnecessary input in safety evaluation and enhance their market competitiveness.