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Safety Risk Assessment for Underground Mines Based on Combined Weighting-TOPSIS
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Meiman QIN1, 2, 3, Xiangyu KOU1, 2, 3, Debo YAN1, 2, 3, Peilin DONG1, 2, 3, Xing WEI1, 2, 3, Bai ZHANG1, 2, 3
Mining and Metallurgical Engineering | 2025, 45(1) : 35 - 40
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Mining and Metallurgical Engineering | 2025, 45(1): 35-40
MINING
Safety Risk Assessment for Underground Mines Based on Combined Weighting-TOPSIS
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Meiman QIN1, 2, 3, Xiangyu KOU1, 2, 3, Debo YAN1, 2, 3, Peilin DONG1, 2, 3, Xing WEI1, 2, 3, Bai ZHANG1, 2, 3
Affiliations
  • 1.Changsha Mining Research Institute Co., Ltd., Changsha 410012, Hunan, China
  • 2.State Key Laboratory of Safety Technology for Metal Mines, Changsha 410012, Hunan, China
  • 3.Hunan Intelligent Mining Engineering Technology Research Center, Changsha 410012, Hunan, China
Published: 2025-02-01 doi: 10.3969/j.issn.0253-6099.2025.01.006
Outline
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In order to scientifically assess risks in the production and operation of underground mines and improve the safety prevention and control in underground mining, a risk assessment index system for underground mines was constructed by selecting five primary indices and 16 secondary indices based on the underground mining characteristics. And then, the subjective and objective weights of the assessment indices were determined by using analytic hierarchy process (AHP) and entropy weight method (EWM), and the comprehensive weight of the indices was also optimized by adopting a combined weighting method to improve the accuracy of the assessment results. The safety risk in underground mines was assessed with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Later, five mines investigated by the experts organized by Hunan Bureau of the State Administration of Mine Safety were taken as samples for assessment with this method. The safety risk assessment results obtained with different models show that three risk indices with higher weights, including operation status of six equipment systems in terms of equipment factor, mine geological conditions in terms of environmental factor, and work safety system in terms of management factor, can bring obvious threat to the mine safety operation. The safety risk assessment of five mines shows that a tungsten mine has the highest risk level, while a graphite mine has the lowest risk level.

underground mine  /  mine safety  /  safety risk assessment  /  analytic hierarchy process  /  entropy weight method  /  combined weighting method  /  TOPSIS model
Meiman QIN, Xiangyu KOU, Debo YAN, Peilin DONG, Xing WEI, Bai ZHANG. Safety Risk Assessment for Underground Mines Based on Combined Weighting-TOPSIS[J]. Mining and Metallurgical Engineering, 2025 , 45 (1) : 35 -40 . DOI: 10.3969/j.issn.0253-6099.2025.01.006
Year 2025 volume 45 Issue 1
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Article Info
doi: 10.3969/j.issn.0253-6099.2025.01.006
  • Receive Date:2024-08-02
  • Online Date:2026-03-17
  • Published:2025-02-01
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  • Received:2024-08-02
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Affiliations
    1.Changsha Mining Research Institute Co., Ltd., Changsha 410012, Hunan, China
    2.State Key Laboratory of Safety Technology for Metal Mines, Changsha 410012, Hunan, China
    3.Hunan Intelligent Mining Engineering Technology Research Center, Changsha 410012, Hunan, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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