CHENG L, SHI H R, HE Z Y, et al. Research on the evaluation of coal mine safety production based on a variable weight-cloud model[J]. Journal of Henan Polytechnic University (Natural Science), 2024, 43(5):10-18.

doi:10.16186/j.cnki.1673-9787.2023030027

Received:2023/03/10

Revised:2023/04/21

Published:2024/07/31

Research on coal mine safety production evaluation based on variable weight-cloud model

CHENG Lei1,2,  SHI Haorong1,2,  HE Zhiyong3,  GENG Jiantong4

1. College of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China； 2. Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo 454000, Henan, China； 3. Henan Academy of Sciences, Zhengzhou 450046, Henan, China； 4. Henan Academy of Emergency Management Science and Technology, Zhengzhou 450003, Henan, China

Abstract: Objectives Objectives To evaluate coal mine safety effectively and accurately, this study proposes an evaluation method based on a variable weight-cloud model by combining the weighting approach and variable weight synthesis method. Methods Drawing on the three-year evaluation framework for Henan’s coal mine safety special rectification efforts and field surveys, 24 evaluation indicators were selected across four dimensions：personnel，equipment，environment，and management, establishing a coal mine safety production evaluation index system. The coefficient of variation method was employed to refine the G1 method’s determination of indicator importance, combined with the COWA objective weighting method for composite weighting of evaluation indicators. The variable weight synthesis method was used to adjust constant weights, and a cloud map depicting safety production evaluation was generated using cloud model theory. Results The results showed that the evaluation outcomes of the proposed variable weight-cloud model were consistent with field evaluation findings, verifying the method’s accuracy. The selected evaluation indicators and risk classification were reasonable, and the variable weight synthesis method effectively enabled dynamic weight calculation. The variable weight-cloud model evaluation method, coupled with cloud model theory, facilitated both qualitative and quantitative analysis of evaluation indicators, and the resulting cloud map illustrated the fuzziness and randomness of the evaluation outcomes. This method provided a robust evaluation of coal mine safety production, verifying both the rationality of indicator selection and the accuracy of the variable weight-cloud model, while highlighting areas for improvement in the current safety management of coal mines. Conclusions The constructed evaluation index system and model are applicable to coal mine safety evaluations and offer valuable guidance for strengthening safety measures in coal mines.

Key words: improved G1 method; COWA method; variable weight synthesis method; cloud model; safety risk assessment