There have always been a large number of data anomalies such as missing,interference,error,and concealment in the mine safety risk monitoring and early warning data,which is not conducive to safety management and rescue.In this paper,we summarize and verify the various types and quantity proportions of abnormal data from two perspectives,and find that about 70%of the violations or safety hazards related to the two professional systems related to the two professional systems can be traced back to human factors,and discuss the causes and countermeasures of these factors.In view of the types of abnormal data that occur with high frequency,this paper expounds a chart analysis method that is helpful to improve the efficiency of data analysis and quickly determine or eliminate violations,and tries to systematically and theoretically summarize and sort out the early warning and analysis technology of mine safety perception data.Measures to reduce abnormal data and improve the application effect of monitoring and early warning system are proposed.
关键词
大数据/安全感知数据/数据分析/风险预警/矿井隐患排查
Key words
big data/security-aware data/data analysis/risk early warning/mine hidden danger investigation
维普
万方数据