基于主成分的采空区危险性关联因子聚类分析

发布时间：2018-04-12 19:57

本文选题：采空区 + 关联因子　；参考：《化工矿物与加工》2017年02期

【摘要】：结合某矿山采空区安全事故实例和矿山的实际开采条件,归纳出12个采空区危险性关联因子,采用岩体地质力学分类(RMR)和主成分分析(PCA)方法对14个采空区的12个原始关联因子进行量化和分析,提取了累计贡献率超过80%的4个主成分,获得了4个主成分与各关联因子间的相关性,揭示了各采空区危险性的主导因子。分析结果表明,运用主成分对采空区危险性关联因子分析具有一定的实际意义,矿山管理人员可根据分析结果和矿山实际条件制定相应的措施,有效防止采空区事故的发生。
[Abstract]:According to the safety accident in goaf of a mine and the actual mining conditions, 12 risk related factors of goaf are concluded.Using RMRand principal component analysis (PCA) method to quantify and analyze 12 original correlation factors in 14 mined-out areas, 4 principal components with cumulative contribution rate of more than 80% were extracted.The correlation between the four principal components and the correlation factors was obtained, and the dominant factors of the risk in each goaf were revealed.The analysis results show that the application of principal components to the analysis of risk correlation factors in goaf has certain practical significance, and mine managers can formulate corresponding measures according to the analysis results and the actual conditions of the mine to effectively prevent the occurrence of accidents in goaf.
【分类号】：TD771

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