Research and application of data integration management platform for coal mine disaster early warning
In response to the complexity of geology and the diversity of disasters in deep mine,conducting research on unmanned and intelligent monitoring and early warning technology and equipment for deep mine based on massive data driven is an effective way to improve the safety guarantee of deep coal mining.However,currently,the poor correlation between coal mine monitoring systems,low data utilization rate,and insufficient in-depth intelligent analysis of data have led to poor targeted implementation of disaster prevention measures in coal mines,which may result in inadequate or excessive disaster prevention measures.Focusing on the needs of coal mine disaster monitoring and early warning,a big data platform architecture for coal mine disaster monitoring and early warning is proposed,a mixed data storage scheme for structured data,unstructured data,temporal data and other heterogeneous data is designed,a coal mine monitoring data governance method is designed from data collection,data quality,data fusion,data indicators and other aspects,and a multi-tenant data mart construction technology for coal mine disaster warning applications is proposed,supporting the diversified data requirements of the applications of coal mine disaster analysis.
big datadata integrationdata governancedata martcoal mine disaster early warning
NETL
NSTL
万方数据
