基于HFACS和灰色关联的煤矿事故人因因素分析  

Analysis of Human Factors of Coal Mine Accidents Based on HFACS-Grey Relational Analysis

作　　者：刘志飞 谢雄刚[1] 杨家向 丁锐 

机构地区：[1]贵州大学矿业学院,贵州 贵阳 [2]贵州省盘州市能源局,贵州 盘州 [3]贵州省六盘水市水城区能源局,贵州 六盘水

出　　处：《应用数学进展》2022年第12期8884-8891,共8页Advances in Applied Mathematics

摘　　要：近年来,我国煤矿安全生产的形势得到了大幅改善,但形势依然严峻。造成煤矿事故的直接原因中人因因素依然大量存在。因此,为了促进煤矿安全生产,需要进一步研究煤矿事故中的人因因素,分析人因因素在煤矿事故中所起的作用。本文利用改进的HFACS理论和灰色关联分析方法,对煤矿事故调查报告进行统计分析得出人因因素包括4个一级分析指标:管理组织缺失、不安全的领导行为、不安全行为的前提条件及不安全行为,以及12个二级分析指标。应用灰色关联分析方法,分析煤矿事故人因因素之间的关联度大小,阐明因素之间的密切程度。分析结果表明:4个一级分析指标与煤矿事故人因因素的密切程度分别为:不安全的行为、管理组织缺失、不安全的领导行为、不安全行为的前提条件,为预防煤矿事故中的人因因素提供了侧重依据。In recent years, the situation of mine safety production has been greatly improved, but the situation is still severe. There are still a lot of human factors which are the direct causes of coal mine acci-dents. Therefore, in order to promote the safety of coal mine production, it is necessary to further study the human factors in coal mine accidents and analyze the role of human factors in coal mine accidents. This paper uses the improved HFACS theory and grey correlation analysis method to make a statistical analysis of the coal mine accident investigation report and finds that the human factors include 4 first-level analysis indicators: the absence of management organization, unsafe leadership behavior, the prerequisite of unsafe behavior and unsafe behavior, and 12 second-level analysis indicators. The grey correlation analysis method is used to analyze the degree of correla-tion between the human factors of coal mine accidents and to clarify the degree of closeness be-tween the factors. The analysis results show that the close degree between the four first-level analy-sis indexes and the human factors of coal mine accidents is: unsafe behavior, lack of management organization, unsafe leadership behavior, and the prerequisite of unsafe behavior, which provides an emphasis basis for the prevention of human factors in coal mine accidents.

关 键 词：煤矿事故 人因因素 改进HFACS 灰色关联分析 

分 类 号：TD7[矿业工程—矿井通风与安全]