Study of a Comprehensive Assessment Method for Coal Mine Safety Based on a Hierarchical Grey Analysis

• Published in: Journal of China University of Mining and Technology Vol. 17; no. 1; pp. 6 - 10
• Main Authors: LIU, Ya-jing, MAO, Shan-jun, LI, Mei, YAO, Ji-ming
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2007; School of Resource and Safety Engineering, China University of Mining &Technology, Beijing 100083, China%Research Institute of Remote Sensing and Geophysics Information System, Peking University, Beijing 100871, China%School of the Earth Science and Resources, China University ofGeosciences, Beijing 100083, China
• Subjects: hierarchical grey analysis; index system; safety assessment; safety of coal mine; TD 77; 安全事故; 安全性; 灰色分析; safety assessment; safety of coal mine; hierarchical grey analysis; index system; TD 77
• ISSN: 1006-1266
• DOI: 10.1016/S1006-1266(07)60002-9

Coal mine safety is a complex system, which is controlled by a number of interrelated factors and is difficult to estimate. This paper proposes an index system of safety assessment based on correlated factors involved in coal mining and a comprehensive evaluation model that combines the advantages of the AHP and a grey clustering method to guarantee the accuracy and objectivity of weight coefficients. First, we confirmed the weight of every index using the AHP, then did a general safety assessment by means of a grey clustering method. This model analyses the status of mining safety both qualitatively and quantitatively. It keeps management and technical groups informed of the situation of the coal production line in real time, which aids in making correct decisions based on practical safety issues. A case study in the application of the model is presented. The results show that the method is applicable and realistic with regard to the core of a coal mine＇s safety management. Consequently, the safe production of a mine and the awareness of advanced safe production management is accelerated.