HIGH PRECISION LOCATION OF MICRO-SEISMIC SOURCE IN UNDERGROUND COAL MINE

CHENG Jiu-Long, SONG Guang-Dong, LIU Tong-Yu, HU Bin-Xin, WANG Ji-Qiang, WANG Jin-Yu
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引用次数: 6

Abstract

Accurate location of micro-seismic source in underground coal mine is of great significance for monitoring and early warning of dynamic disaster. Micro-seismic source information is generally extracted through inversion of the data acquired by the underground sensors. The installation of the sensors is limited around underground roadway. The unreasonable arrangement of sensors along the roadway will greatly decrease the precision of the seismic location. As for the ill-posed problems caused by the inversion for source location with sensor-received information, high precision location algorithm of micro-seismic source based on the arrangement optimization of monitoring points is presented in this paper. Firstly, the ill-posed problems are judged by calculating the coefficient matrix condition numbers. The ill-posed matrix is then pretreated by centralization and row balance jointly. The regularization parameters of pretreated matrix A and b are calculated by the L-curve method. The seismic source coordinates regularization solution is obtained via Tikhonov regularization algorithm. The research shows that the matrix magnitude is decreased hugely with centralization method, ill-posed condition numbers are reduced with row balance pretreatment. The minimum seismic source coordinate error of Tikhonov regularization solution after the pretreatment is 3.09 m which has been greatly decreased compared to the error by Gaussian elimination solution before the pretreatment. High precision seismic source location is realized in limited space of underground roadway by the above optimization processing.

煤矿井下微震源高精度定位
准确定位煤矿井下微震源对动力灾害监测预警具有重要意义。微震源信息一般是通过地下传感器采集数据的反演来提取的。传感器的安装受限于地下巷道附近。传感器沿巷道布置不合理,将大大降低地震定位精度。针对利用传感器接收信息反演震源位置时存在的不适定问题,提出了基于监测点布置优化的微震源高精度定位算法。首先,通过计算系数矩阵条件数来判断病态问题;然后用集中和行平衡的方法对病态矩阵进行预处理。采用l曲线法计算预处理矩阵A和b的正则化参数。通过吉洪诺夫正则化算法得到震源坐标正则化解。研究表明,采用中心化方法可以大幅度降低矩阵大小,采用行平衡预处理可以减少病态条件数。预处理后的Tikhonov正则化解的最小震源坐标误差为3.09 m,与预处理前的高斯消去解的误差相比有了很大的降低。通过上述优化处理,在地下巷道有限空间内实现了高精度震源定位。
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