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机构地区:[1]中煤科工集团重庆研究院有限公司,重庆400039 [2]河南能化集团永煤集团车集煤矿,河南永城476600
出 处:《矿业安全与环保》2014年第6期81-84,共4页Mining Safety & Environmental Protection
基 金:中煤科工集团重庆研究院重点项目(206004113)
摘 要:为了准确而快速地判别矿井突水水源,以聚类分析、灰色关联分析、多元逐步判别分析3种方法建立了矿井突水水源判别模型,提出了通过适应性来选择具体矿井或矿区的判别方法,利用粗糙集理论的属性约简来筛选水化学特征指标,使得所选判别指标更具针对性和减少指标检测时间,真正实现准确而快速地判别矿井突水水源,进而为矿井水害防治服务。实例表明,属性约简前后,识别结果一致性将近90%,证实了粗糙集理论在矿井突水水源判别中的有效性和实用性。A discrimination model of mine water inrush source was established according to the PrinciPle of cluster analysis, grey interaction analysis and multivariate stePwise discrimination analysis in order to accurately and quickly discriminate the mine water inrush source and then serve the Prevention and control of mine water disasters. The discrimination method for the mine water inrush source which was selected by its aPPlicability in a sPecific mine or mining was ProPosed. The hydro-chemical characteristic indicators were screened by attributive reduction in the rough set theory,which made the selected discrimination indicator more directive and reduced the time for the indicator test,and the accurate and quick discrimination of the mine water inrush source was truly realized. The examPles indicated that the consistency of the discriminated results before and after the attributive reduction was nearly 90%,which Proved the effectiveness and Practicality of the rough set theory in the discrimination of mine water inrush sources.
分 类 号:TD745[矿业工程—矿井通风与安全]
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