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

Qiu-Ping Bi, Yu-Cheng Li and Cheng Shen
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Qiu-Ping Bi: College of Safety Science and Engineering, 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

Sustainability, 2021, vol. 13, issue 21, 1-15

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.

Keywords: effectiveness evaluation; R clustering; coefficient of variation; optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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