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Safety Performance Evaluation of Non-Coal Underground Mines Based on ANP-TOPSIS
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Yejiao LIU1, 2, 3, 4, Fu GAO1, Ting TENG1, Ruipeng TONG5, Fengyi JIANG1, Wenjie YAN1, Min MA6
Mining Research and Development | 2025, 45(9) : 125 - 134
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Mining Research and Development | 2025, 45(9): 125-134
Safety Performance Evaluation of Non-Coal Underground Mines Based on ANP-TOPSIS
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Yejiao LIU1, 2, 3, 4, Fu GAO1, Ting TENG1, Ruipeng TONG5, Fengyi JIANG1, Wenjie YAN1, Min MA6
Affiliations
  • 1.School of Mining and Coal, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
  • 2.Inner Mongolia Key Laboratory of Mining Engineering, Baotou, Inner Mongolia 014010, China
  • 3.Inner Mongolia Research Center for Coal Safety Mining and Utilization Engineering and Technology, Baotou, Inner Mongolia 014010, China
  • 4.Inner Mongolia Cooperative Innovation Center for Coal Green Mining and Green Utilization, Baotou, Inner Mongolia 014010, China
  • 5.School of Emergency Management and Safety Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China
  • 6.Lunan Technician College, Linyi, Shandong 276000, China
Published: 2025-09-25
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In order to evaluate the implementation effect of safety management in non-coal underground mines, a safety performance evaluation index system of non-coal underground mines was established, including 6 first-level indicators and 30 second-level indicators. The safety performance evaluation method of non-coal underground mines based on ANP method and TOPSIS method was constructed. The weight of evaluation index was determined by ANP method, and the comprehensive evaluation was carried out by TOPSIS method. Finally, XD company was taken as an example for empirical research. The evaluation results show that the safety performance score of XD company in 2023 is the highest, and the safety performance is grade Ⅱ. The average annual growth rate of safety performance comprehensive score from 2020 to 2023 is 5.36%. XD company is relatively good in safety education and training, and relatively weak in risk classification control and hidden danger investigation and management. The evaluation results can provide guidance for the safety management of mining enterprises.

Non-coal underground mine  /  Safety performance  /  Index system  /  Analytic network process  /  Technique for order preference by similarity to an ideal solution
刘业娇, 高富, 滕婷, 佟瑞鹏, 姜丰懿, 闫文杰, 马敏. 基于ANP-TOPSIS的非煤地下矿山安全绩效评估. 矿业研究与开发, 2025 , 45 (9) : 125 -134 .
Yejiao LIU, Fu GAO, Ting TENG, Ruipeng TONG, Fengyi JIANG, Wenjie YAN, Min MA. Safety Performance Evaluation of Non-Coal Underground Mines Based on ANP-TOPSIS[J]. Mining Research and Development, 2025 , 45 (9) : 125 -134 .
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Year 2025 volume 45 Issue 9
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  • Receive Date：2024-09-25
  • Online Date：2026-10-28
  • Published：2025-09-25
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  • Received：2024-09-25
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Affiliations
    1.School of Mining and Coal, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
    2.Inner Mongolia Key Laboratory of Mining Engineering, Baotou, Inner Mongolia 014010, China
    3.Inner Mongolia Research Center for Coal Safety Mining and Utilization Engineering and Technology, Baotou, Inner Mongolia 014010, China
    4.Inner Mongolia Cooperative Innovation Center for Coal Green Mining and Green Utilization, Baotou, Inner Mongolia 014010, China
    5.School of Emergency Management and Safety Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China
    6.Lunan Technician College, Linyi, Shandong 276000, China
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表12种不同金属材料的力学参数
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Number of
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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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