基于数据挖掘的尾矿库风险预测预警方法研究  

Research on Risk Prediction and Early Warning Method of Tailing Dam based on Data Mining

作　　者：陈友良[1] 李全明[1] 

机构地区：[1]中国安全生产科学研究院,国家安全生产监督管理总局安全生产重点实验室-矿山采空区灾害防治实验室,北京100012

出　　处：《有色金属（选矿部分）》2016年第5期88-91,共4页Nonferrous Metals（Mineral Processing Section）

基　　金：国家自然科学基金资助(71373245)

摘　　要：尾矿库作为企业安全生产过程中的一项重大危险源,其安全稳定的运行一直受到政府、企业和社会的密切关注。总结目前尾矿库监测的现状,分析其存在不足,结合当前互联网技术和大数据发展的趋势,提出单独监测、集中管理的模式,在收集到的大数据的基础上进行尾矿库风险预测预警分析,并以数据分类和回归分析的方法具体演示部分安全指标的分析过程。结果表明,该方法对尾矿库安全运行风险有一定的预测预警功能,为政府部门和企业对尾矿库安全运行的监管和处置提供重要参考数据。As one of the major hazardous sources in the process of enterprise safety production, tailing dam is a widespread concern of the government, enterprises and society. This paper summarizes the current situation of tailings dam monitoring, analyses its existing problems, combined with the current trend of Internet technology and big data development, put forward a separate monitoring, centralized management model, predicts and early warning analysises the risk of tailing dam based on the collected data, then the analysis process of the safety index is demonstrated by the method of data classification and regression analysis. The results show that this method has a certain forecast and early warning function for the safe operation of railings dam, and provides important reference data for government departments and enterprises to supervise and dispose of the safe operation of railings dam.

关 键 词：数据挖掘 尾矿库风险 预测预警 

分 类 号：TD672[矿业工程—矿山机电] TD928.9