Study on clustering analysis of microseism attributes and evolution of water conducting fractures in mining under pressure
Aiming at the problem of floor water disaster threat in mining face under pressure,microseism monitoring method was adopted.According to the real-time data in the mining process,the typical microseism data volume was monitored and formed,and the attribute hierarchical clustering was carried out to obtain the relationship between each attribute parameter and event type.Based on this,the source type of chaotic distribution microseism events obtained by conventional monitoring was determined,and the integrated imaging of water movement events was realized.Based on TRIZ theory,the spatial and temporal analysis was carried out to obtain the development trend and location of water conducting fractures,which provided technical support for forewarning of water outburst risk.
microseism monitoringcluster analysisstress dropsource radiuswater disaster forewarningmining under pressure
万方数据
维普
