Safety evaluation model of coal mine based on principal component and cluster analysis
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摘要: 首先从人的行为、安全管理、装备设施、自然条件、安全技术与监管机制5个方面建立了煤矿安全评价指标体系;然后运用主成分分析和聚类分析建立了煤矿安全评价模型,通过主成分分析选取综合指标,减少了评价指标的个数, 通过聚类分析对各煤矿企业的安全状态进行分类评价,分析其相似性和差异性;最后通过对某省40个煤矿企业的安全状况进行评价,介绍了该煤矿安全评价模型的应用步骤。应用结果表明,该煤矿安全评价模型得出的评价结果简单、直观地反映了煤矿的安全状态。Abstract: Firstly, an evaluation index system of coal mine safety was established from five aspects including people's behavior, safety management, equipment facilities, natural conditions and safety technology and supervision mechanism. Secondly, a safety evaluation model of coal mine was established based on principal component analysis and cluster analysis. Principal component analysis is used to choose comprehensive indexes, so as to reduce the number of evaluation indexes. Cluster analysis is used to classify and evaluate safety status of each coal mine enterprise, so as to analyze similarities and differences. Finally, safety status of 40 coal mine enterprises in a province was evaluated, and application steps of the model were introduced. The application result shows that evaluation result concluded by the model can reflect safety status of coal mine simply and intuitively.
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Key words:
- coal mine safety /
- safety evaluation /
- principal component analysis /
- cluster analysis
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