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Screening of Evaluation Index and Construction of Evaluation Index System for Mine Ventilation System

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  • Qiu-Ping Bi

    (College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China
    Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education, Liaoning Technical University, Fuxin 123000, China)

  • Yu-Cheng Li

    (School of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030600, China)

  • Cheng Shen

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China)

Abstract

The mine ventilation system is an indispensable component to improve coal mining efficiency and ensure the safety of production. Only by clearly grasping the comprehensive evaluation quality of the ventilation system can effective countermeasures be formulated. This paper establishes an evaluation index system for mine ventilation systems by combining a qualitative survey with quantitative research. Specifically, the primary indicators are screened through R-type clustering and the coefficient of variation method. The weight of each index is determined by the entropy weight method. Moreover, the technique for order preference by similarity to ideal solution (TOPSIS) method is used to evaluate the quality of the mine ventilation system. Finally, this evaluation system is used to evaluate the ventilation renovation project in the production mining area of the Sihe mine. The evaluation results verify the effectiveness of the establishment of the mine ventilation evaluation index system and of the evaluation methods.

Suggested Citation

  • Qiu-Ping Bi & Yu-Cheng Li & Cheng Shen, 2021. "Screening of Evaluation Index and Construction of Evaluation Index System for Mine Ventilation System," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11810-:d:664902
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    References listed on IDEAS

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    1. Lechner, Alex Mark & Kassulke, Owen & Unger, Corinne, 2016. "Spatial assessment of open cut coal mining progressive rehabilitation to support the monitoring of rehabilitation liabilities," Resources Policy, Elsevier, vol. 50(C), pages 234-243.
    2. Yubing Gao & Dongqiao Liu & Xingyu Zhang & Manchao He, 2017. "Analysis and Optimization of Entry Stability in Underground Longwall Mining," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
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    Cited by:

    1. Dalton Garcia Borges de Souza & Erivelton Antonio dos Santos & Francisco Tarcísio Alves Júnior & Mariá Cristina Vasconcelos Nascimento, 2021. "On Comparing Cross-Validated Forecasting Models with a Novel Fuzzy-TOPSIS Metric: A COVID-19 Case Study," Sustainability, MDPI, vol. 13(24), pages 1-25, December.
    2. Shouguo Yang & Xiaofei Zhang & Jun Liang & Ning Xu, 2023. "Research on Optimization of Monitoring Nodes Based on the Entropy Weight Method for Underground Mining Ventilation," Sustainability, MDPI, vol. 15(20), pages 1-16, October.

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