摘要
煤矿企业的安全管理一直是煤矿管理活动的重中之重。随着矿井开采深度的不断加深,瓦斯等有害气体的管理变得尤为重要。虽然煤矿企业在不同程度上建立了安全监测监控系统,对局部异常情况建立预警、报警机制,但是缺乏对监测监控数据的整体性、深入性、连续性的分析,没有充分发挥安全监测监控系统的预测预判功能,没有更好地指导煤矿安全生产。针对煤矿安全监测监控数据多源异构的特点,提出采用数据挖掘分析的手段,对历史数据进行归纳总结,建立经典关联分析模型,及时对新产生数据进行分析判断,掌握矿井环境动态发展趋势,为安全管理提供科学决策依据。
The safety management of coal mining enterprises has always been the top priority of coal mine management.With the deepening of mining depth,the management of gas and other harmful gases has become particularly important.Although the coal mine enterprises have established the safety monitoring system,due to the lack of continuous analysis of monitoring data,it is difficult to give full play to the prediction function of the safety monitoring system,and cannot better guide the safety production of coal mines.According to the characteristics of multi-source and heterogeneous of the data from coal mine safety monitoring system,the method of summarizing the historical data by data mining analysis was put forward,the classical correlation analysis model was established,so as to analyze and judge the new data in time,grasp the dynamic development trend of coal mine production,and provide scientific decision-making basis for safety management.
作者
李伟
LI Wei(Information Management Center,Shendong Coal Group Co.,Ltd.,Shenmu 719315,China)
出处
《陕西煤炭》
2020年第S02期209-213,共5页
Shaanxi Coal
关键词
煤矿安全
监测监控
数据挖掘
关联分析
coal mine safety
monitoring and control
data mining
association analysis
作者简介
李伟(1989—),男,陕西佳县人,2011年毕业于西安科技大学电气工程及其自动化专业,硕士,工程师,数据分析师,现从事数据分析方面的工作。
