Safety Risk Assessment of a Pb-Zn Mine Based on Fuzzy-Grey Correlation Analysis

Guofang Dong,Wei Wei,Xu Xia,Marcin Woźniak,Robertas Damaševičius

doi:10.3390/electronics9010130

Abstract

Improving safety management and risk evaluation methods is important for the global mining industry, which is the backbone of the industrial development of our society. To prevent any accidental loss or harm to human life and property, a safety risk assessment method is needed to perform the continuous risk assessment of mines. Based on the requirements of mine safety evaluation, this paper proposes the Pb-Zn mine safety risk evaluation model based on the fuzzy-grey correlation analysis method. The model is compared with the risk assessment model based on the fuzzy TOPSIS method. Through the experiments, our results demonstrate that the proposed fuzzy-grey correlation model is more sensitive to risk and has less effect on the evaluation results under different scoring attitudes (cautious, rational, and relaxed).

Highlights

Mining ensures the supply of the required material as the foundation for the industrial development of our society, and is the cause of many accidents and deaths worldwide [1]
To verify the validity of the fuzzy-grey correlation risk assessment model proposed here, the eigenvalue method based on the cautious attitude, rational attitude, and relaxed attitude for the comprehensive weight of the maximum eigenvalue method and entropy weight (CW1), the comprehensive weight of the least squares method and the entropy weight (CW2), the comprehensive weight of the sum method and the entropy weight (CW3), the comprehensive weight of the product method and the entropy weight (CW4) were used
A mine safety risk ranking and grading evaluation model that was based on the fuzzy-grey correlation method was proposed

Summary

Introduction

Mining ensures the supply of the required material as the foundation for the industrial development of our society, and is the cause of many accidents and deaths worldwide [1]. Mine safety is very important to ensure the sustainable development of the global economy [2]. Mine safety risk should be assessed and properly managed. Researchers have done many experiments using fuzzy logic [4] in the field of risk assessment, including hazardous industrial installations [5,6], the aluminum industry [7], hydropower stations [8], shipping routes [9], supply chains [10], railway transportation systems [11], construction projects and green buildings [12,13], and occupational health and safety [14,15]

Methods

Results

Discussion

Conclusion