Coal mine safety evaluation method based on entropy weight matter element extension model

Abstract

The invention discloses a coal mine safety evaluation method based on an entropy weight matter element extension model. The method comprises the following steps: 1) establishing an evaluation index matter element; 2) carrying out normalization processing of evaluation indexes; 3) calculating an evaluation index correlation degree; 4) calculating an evaluation index weight; and 5) determining a comprehensive correlation degree and an evaluation grade. According to the invention, a correlation function in matter element extension is introduced to calculate the correlation degree between each evaluation index and the security level; the weight of each evaluation index is calculated by utilizing an entropy weight method, on the basis, the comprehensive correlation degree of the to-be-evaluatedobject element level is solved, the safety evaluation level is determined according to the maximum correlation degree principle, and finally the reliability and reasonability of the evaluation methodare verified by applying an example.

Description

technical field [0001] The invention relates to a coal mine safety evaluation method based on an entropy-weighted matter-element extension model, and belongs to the technical field of coal mine safety evaluation. Background technique [0002] In recent years, the number of accidents in coal mines, major accidents, and the death rate per 10,000 tons have decreased year by year, and the safety production situation of coal mines in my country has made steady progress. With the gradual large-scale mining of coal resources in various regions, the number of mines entering the deep mining stage is gradually increasing. Many mines are affected by gas, dust, and roofs to varying degrees. In environments such as environmental and high-intensity mining disturbances, mines appear to be more and more frequent. In order to ensure the safe mining of deep coal mines, reduce the safety of coal mines, and reduce the incidence of accidents, it is urgent to conduct an effective safety assessme...

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Problems solved by technology

[0003] At present, domestic and foreign scholars have conducted a lot of research on coal mine safety evaluation. The methods mainly include: fuzzy evaluation method, analytic hierarchy process, probability evaluation method, gray relational analysis method, fault tree analysis method, neural network method, etc. These theoretical methods It has achieved good results in safety prediction, analysis and evaluation, but it also has its own limitations, such as the traditional fuzzy evaluation method, gray relational analysis method and neural network method to determine the weight and membership, there is a certain degree of subjectivity , the objectivity and credibility of the evaluation results cannot be guaranteed; the analytical hierarchy process and the fault tree analysis method have poor processing capabilities for nonlinear structures, and when there are many samples, the calculation process is complicated; the probability evaluation method requires accurate description of the system. Uncertainty, the accuracy and practicability of the evaluation results are not high, and needs to be improved

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