Safety Evaluation and Simulation Research of Filling Mining Mine—A Case Study of Jisuo Coal Mine

Yuqing Wang, Yongkui Shi () and Jian Hao
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Yuqing Wang: College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Yongkui Shi: College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Jian Hao: College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China

Sustainability, 2023, vol. 15, issue 13, 1-23

Abstract: With the demand for green mining in coal mines, filling mining is becoming more and more popular, resulting in more complex production systems and more potential safety hazards. Therefore, it is very important to evaluate the safety of filling mining mines and propose improvement measures. Aiming at the safety evaluation method of filling mining mines, this paper innovatively proposes a safety evaluation method based on entropy weight–attribute mathematical theory, which enriches the theoretical research related to the safety evaluation model of filling mining mines. Five secondary indexes and twenty-two tertiary indexes were selected. The weights were determined via the entropy weight method, and then the attribute mathematical theory was used for safety evaluation. The evaluation results show that the safety level of Jisuo Coal Mine is “relatively safe”, and the evaluation results are in good agreement with the actual situation of Jisuo Coal Mine, which verifies the applicability of the attribute mathematical theory. Finally, from the perspective of safety input, the simulation study is carried out by using system dynamics, and the dynamic change rule is analyzed. Additionally, improvement measures for filling mining mine safety are proposed so as to realize the reasonable optimization of resource allocation.

Keywords: filling mining; safety level; attribute mathematical theory; system dynamics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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