Study on clustering analysis of microseism attributes and evolution of water conducting fractures in mining under pressure
杨波
Yang Bo;
 河北煤炭科学研究院有限公司矿井水害探测与防控国家矿山安全监察局重点实验室河北省矿井微震重点实验室
针对带压开采工作面底板水害威胁难题,采用微震监测手段,根据回采过程中的实时数据,监测形成微震典型数据体并对其进行属性层次聚类,得到各属性参数与事件类型的关系。据此确定常规监测得到的混沌分布微震事件的震源类型,实现水运动事件集合成像,基于TRIZ理论进行时空分析,得到导水裂隙发育趋势及位置,为突水危险性预警提供技术支撑。
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.
微震监测聚类分析应力降震源半径水害预警带压开采
microseism monitoring;cluster analysis;stress drop;source radius;water disaster forewarning;mining under pressure
主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会