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Grey Relational Analysis on the Impact of Coal Mine Casualty Accident

机译:煤矿人员伤亡事故影响的灰色关联分析

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摘要

This paper, according to some relevant literatures, the actual production of mining and the reason analysis of mine casualty accidents recently, makes analysis on overfull ratio, the level of mining technology, funds inputted on safety technology and the quality of the employees, and nine ingredients affecting the mine casualty are determined. Combing the accident statistics of one mine in Shandong province, the grey system theory is used to make relational analysis on these nine ingredients which indicates that operation against rules (OAR), command against rules (CAR) and the overfull ratio (TOR) are the main effect ingredients leading to mine deaths, that OAR, CAR and mechanization degree of mining are the main effect ingredients resulting to severe or minor wound accidents. The superiority analysis and sensitivity analysis all reveal that OAR is the most sensitive ingredient leading to coal casualty accidents. This method is simple and of higher precision, offering a new thought and way to assess accurately the key ingredients leading to coal casualty accidents and prevent them.
机译:本文根据一些相关文献,对采矿业的实际生产和近期矿难事故的原因进行分析,分析了超额率,采矿技术水平,安全技术投入资金和员工素质等九个方面。确定影响矿难人员的因素。结合山东省某矿山的事故统计数据,运用灰色系统理论对这九种成分进行了关联分析,表明这是基于规则的操作(OAR),命令的命令(CAR)和超负荷率(TOR)。导致矿井死亡的主要影响因素是OAR,CAR和采矿的机械化程度是导致严重或轻伤事故的主要影响因素。优越性分析和敏感性分析均显示,OAR是导致煤矿人员伤亡事故的最敏感成分。该方法简便,精确度高,为准确评估导致煤矿人员伤亡事故并预防事故的关键因素提供了新的思路和方法。

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