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为研究煤矿瓦斯事故应急处置致因问题,基于大数据及SPSS21软件,量化分析关键影响因子。探讨人的信息处理生理差异,分析不同类别员工的瓦斯事故应急行动选择倾向。统计分析瓦斯事故人员伤亡及案例事故信息处理致因分布,因子分析瓦斯事故信息处理致因。用回归分析曲线拟合方法,构建应急处置变量关系数学模型。结果表明:人的信息处理生理功能的差异性决定了应急处置的复杂性,应急倾向差异越大,现场处置波动就越大。较大及重大瓦斯事故成为应急处置防护的重点,事故处置致因由信息获取因子与决策处置因子构成,危险源不知、信息感知缺乏、应急处置不当与决策失误等为高载荷指标,决策处置因子有较大发展空间。应急处置不当与信息感知缺乏、决策失误之间为二次方程关系。
In order to study the causes of coal mine gas accident emergency disposal, based on big data and SPSS21 software, quantitative analysis of key impact factors. Explore the physiological differences of people’s information processing and analyze the tendency of emergency actions of gas accidents in different categories of employees. Statistical analysis of casualties of gas accidents and the cause of information processing of case accidents distribution, factor analysis of gas accident information processing cause. Using regression analysis curve fitting method, the mathematic model of emergency treatment variables was constructed. The results showed that the difference of human physiological functions of information processing determines the complexity of emergency response. The greater the difference of emergency tendency, the greater the fluctuation of on-site disposal. Larger and major gas accidents have become the focus of emergency response protection. The cause of accident disposal is caused by information acquisition and decision-making disposal factors, the source of danger is unknown, the lack of information perception, improper emergency disposal and decision-making errors are the high load indicators. The decision- Larger development space. Improper emergency disposal and lack of information perception, decision-making mistakes between the quadratic equation.