Multi-parameter early warning monitoring and analysis based on intelligent warning platform
In response to the complex causes of rockburst in Zhangshuanglou Coal Mine and the low accuracy of early warning caused by single monitoring,we analyzed the current situation and monitoring and early warning effectiveness of rock burst in the coal mine based on the intelligent warning platform for rockburst.In the context of the concept of smart mining,a multi-parameter monitoring and warning method was proposed based on the"stress field energy vibration field deformation field"monitoring and warning framework,starting from two dimensions of internal and external factors that caused the rockburst.We took stress,vibration wave,drilling debris volume,and acoustic value as parameters,and combined parameter analysis technology to comprehensively evaluate the characteristics of changes in various monitoring data before the occurrence of rock burst,to provide a basis for early warning and scientific and timely resolution of rockburst in Zhangshuanglou Coal Mine.The on-site application results show that,the comprehensive warning ability and accuracy of the multi-parameter monitoring and warning method are distinctly better than those of single-indicator warning system,providing reference value for the safe mining and intelligent mine construction promotion of mines.
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