矿工不安全行为影响因素分析及控制对策

Study on the coal miners' unsafe behavior:effective factors analysis and control measures

我国30 a间煤矿重大事故统计数据显示,人因事故占到96.5%以上。在所有导致煤矿重大事故的直接原因中,不安全行为是引起煤矿绝大多数事故发生的直接原因。因此,在对不安全行为影响因素文献综述的基础上,以G矿N1301工作面的矿工为研究对象,确定了由4个一级因素16个二级因素组成的不安全行为的影响因素集。引入网络层次分析法(ANP),构造不安全行为影响因素的网络结构模型,并通过发放专家打分表,对不安全行为的影响因素进行两两比较,利用Super Decisions(SD)软件计算出不安全行为影响因素的一级因素和二级因素的权重,进而得出全部16个二级影响因素权重总排序,并以此为依据对不安全行为的影响因素进行了重要性分析。其重要性排序将为预防矿工不安全行为指出控制方向,并提出相应的矿工不安全行为控制对策。

Through the analysis of major fatal accidents in China＇ s coal mines in 1980-2010, it showed that human errors accounting for up to 97.6% of total direct accidental causes. Based on the literature review of unsafe behavior＇ s factor and with the object study of G mine＇ s N1301 face＇ s miners, a factors＇ set which consists of 4 first-level factors and 16 second-level factors was determined. And the network model of unsafe behavior factors was established by using analytic network process （ANP）. Then handed out the scoring tables and made a comparison of unsafe behavior＇ s factors. The weights of first-level and second-level were calculated by using Super Decisions software and got the order of 16 second-level factors＇ weights. Finally, according to the results, the importance of the factors was analyzed, which would provide a direction for preventing the miners＇ unsafe behavior, and put forward some control measures of coal miners＇ unsafe behavior.