Research on evaluation of coal mine safety risk based on AHP-MCS coupling TOPSIS
Source abstract
Abstract
In order to realize the scientific evaluation of coal mine safety risks, the coal mine safety accident report is used as the data sample, and grounded theory is used to explore the causes of coal mine safety risks. At the same time, combined with the existing research results, a coal mine safety risk evaluation index system is constructed. Monte Carlo Simulation (MCS) is used to optimize the analytic hierarchy process (AHP) to determine the index weights. Then, a coal mine safety risk assessment model based on the AHP-MCS coupling technique for order preference by similarity to ideal solution (TOPSIS) is established by combining TOPSIS. Taking Lingquan Coal Mine as an example, the applicability of the model is verified. The research results show that the coal mine safety risk level is orange risk, which is consistent with the actual situation. It also shows the applicability of the model in the field of coal mine safety evaluation and expands new theories for coal mine safety risk evaluation research.
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Research context
OpenAlex topics: Occupational Health and Safety Research · Evaluation and Optimization Models · Risk and Safety Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Information Research Institute of the Ministry of Emergency Management 1 , Chaoyang, Beijing 100029, China
College of Safety Science and Engineering, Liaoning Technical University 2 , Fuxin 123000, China
Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education 3 , Liaoning, Huludao 125105, China
Geological Survey Academy of Inner Mongolia Autonomous Region 4 , Hohhot, Inner Mongolia 010000, China
Funding
National Natural Science Foundation of China
References (19)
Show source-provided references
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