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Importance of Effective Factors Analysis of Coal Miners' Unsafe Behaviors

机译:煤矿工人不安全行为影响因素分析的重要性

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Through the analysis of major fatal accidents occurring in China's coal mines, it showed that human errors account up to 96.5% for total causes. Therefore, in order to prevent the miners' unsafe behavior and accidents analyze the factors of unsafe behaviors with the object study of G mine's N1301 face's miners, and determine a factors' set which consists of 4 first-level factors and 16 second-level factors. Then the network model of unsafe behavior factors was established by using analytic network process (ANP). The weights of first-level and secondlevel were calculated by using Super Decisions software and got the order of 16 second-level factors' weights. Finally, the analyzed result of the importance of the factors and the analysis results would provide a direction for preventing the miners' unsafe behavior.
机译:通过对中国煤矿发生的重大致命事故的分析,表明人为错误造成的总原因高达96.5%。因此,为了防止矿工的不安全行为和事故,通过对G矿N1301工作面的矿工的研究,分析了不安全行为的因素,并确定了由4个一级因素和16个二级因素组成的因素集合。 。然后利用网络分析法建立了不安全行为因素的网络模型。使用Super Decisions软件计算一级和二级权重,得出16个二级因子权重的顺序。最后,这些因素的重要性的分析结果和分析结果将为防止矿工的不安全行为提供指导。

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