节点文献
决策树挖掘在煤矿安全监测中的应用
Application of Decision Tree Excavation to Coal Mine Safety Monitoring and Measurement
【摘要】 针对数据挖掘中的决策树算法的分类功能,将其应用于煤矿安全监测中,通过对矿井中不同位置处监测得到的瓦斯浓度、传感器类型、矿井安全状态等煤矿数据的分析,判断当前矿井中是否存在安全隐患,从而可以及时消除隐患,有效保证煤矿的安全生产。
【Abstract】 According to the classification function of the decision tree algorithm in the data excavation,based on the application in the mine safety monitoring and measurement,with the analysis on the coal mine data,such as the gas contents,sensor types,mine safety status and so on measured from different locations of the mine,the safety hidden danger could be identified in the present mine.Therefore the hidden danger could be on timely eliminated and the mine safety production could be effectively ensured.
【关键词】 数据挖掘;
决策树;
安全监测;
瓦斯;
煤矿;
【Key words】 data excavation; decision tree; safety monitoring and measurement; gas; coal mine;
【Key words】 data excavation; decision tree; safety monitoring and measurement; gas; coal mine;
- 【文献出处】 煤炭科学技术 ,Coal Science and Technology , 编辑部邮箱 ,2009年07期
- 【分类号】TD76
- 【被引频次】1
- 【下载频次】218