scholarly journals Safety evaluation of mine roof accident based on grey fuzzy comprehensive evaluation

2021 ◽  
Vol 303 ◽  
pp. 01043
Author(s):  
Chunjing Gao ◽  
Dongmei Huang ◽  
Han Xi ◽  
Yingying Zhu

By analyzing the risk assessment methods of roof accidents at home and abroad, this paper summarizes the research status of risk assessment in this area, and analyzes the significance of risk assessment of mine roof accidents. The risk identification of roadway collapse accident is carried out from four aspects -- human, material, environment, and management, and the risk evaluation index system is established, including human unsafe behavior, material unsafe state, management factors and environmental factors. On this basis, the weight of index set is determined by grey relation analysis, and the fuzzy comprehensive evaluation model is obtained by combining the fuzzy comprehensive evaluation method. Taking a coal mine as an example, this paper makes an empirical study of risk assessment and puts forward corresponding countermeasures according to the results of comprehensive assessment. The results show that the safety level of the mine is very safe, so it is feasible to use the grey fuzzy comprehensive evaluation method to evaluate the safety of the mine, which can provide reference for the same kind of mine.

2013 ◽  
Vol 868 ◽  
pp. 300-305 ◽  
Author(s):  
Tian Jun Zhang ◽  
Jin Hu Ren ◽  
Sheng Hong Yu ◽  
Wei Cui

For the accuracy of the inrush risk assessment of the problem, put forward in the mine inrush risk assessment using the entropy weight fuzzy comprehensive evaluation method to determine the index weight, through the membership function in fuzzy comprehensive evaluation to quantify the qualitative description of these factors, evaluated the henan jiaozuo mine inrush risk. The results show that the mine water inrush risk grade is "great", the actual mine water inrush accidents have occurred, prediction results conform to the actual situation, and safety evaluation value based on the principle of maximum membership degree is more than analytic hierarchy - fuzzy comprehensive evaluation to get , 0.0696. Thus, the method in the mine inrush prediction can objectively and accurately reflect the actual situation of mine inrush.


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