摘要
针对煤矿企业未对安全信息进行深入挖掘的问题,设计了煤矿安全信息管理系统,利用数据仓库和数据挖掘技术对井下实时安全信息进行深入分析,以关联规则为例对煤矿监测数据进行挖掘,分析挖掘结果表明安全参数之间存在紧密联系,由此得到对隐患预测起到指导作用的有用信息,提前做好重点防范,为煤矿的生产安全和职工的人身安全提供保障。
In view that coal mine enterprises don＇t have in-depth mining of safety information, the Safety Information Management System for Coal Mine was designed in this paper. In addition, the system used data warehouse and data mining technology to analyze real-time security information down the mine. Taking the association rules as an example, data mining was conducted for the coal mine monitoring data. The analysis results show that there is close relevance between the safety parameters. From this we can get the useful information which has a guiding role in the prediction of hidden dangers. Thus, we need to focus on prevention to provide protection, for the safety of coal mine production and the personal safety of workers .
出处
《煤矿现代化》
2016年第5期54-56,共3页
Coal Mine Modernization
基金
甘肃省财政厅项目(214153),基于物联网的区域生产安全监控管理平台构建研究
关键词
煤矿
信息管理
数据仓库
数据挖掘
coal mine
information management
data warehouse
data mining technology
