近距离岩体微震动与爆破振动的能量辨识

Energy identification for microseismic and blasting vibration in rock mass within close range

针对矿山微震监测爆破事件与微震事件识别难度大的问题,选取近距离范围内的岩体微震信号与爆破信号,采用完全总体经验模态分解(complete ensemble empirical mode decomposition,CEEMD)将原始信号分解为若干个本征模态函数(intrinsic mode function,IMF),研究了爆破信号与微震信号在不同IMF上能量分布特征。研究结果表明:爆破信号与微震信号在不同的IMF能量存在差异,爆破信号在前4阶高频IMF上能量百分比明显较大,且最大能量阶数相对微震信号较小。该特征提取实现过程简单,可为二者的辨识提供一种新方法。

Aiming at the great difficulty of identifying blasting events and microseismic events in mine microseismic monitoring,the rock mass microseismic signals and the blasting signals in close distance were selected,and the origin signals was decomposed by CEEMD into several IMFs,and energy distribution characters of different IMFs was studied. The results showed that the energy of the blast signals and the microseismic signals differed in different IMFs,the energy percentage of previous 4 IMFs of blast signals was obvious larger,and its biggest one in energy proportion of IMFs was lower than microseismic signals. These characters was extracted easily,which provided a new method to identify the blast signals and the mocriseismic signals.