矿山微震定位有效信号自动识别研究

Study on Automatic Recognition of Microseismic Locating Valid Signal

为提高矿山微震定位有效信号的自动识别效率和识别精度,采用小波包分析手段对微震监测系统采集的信号进行了5层分解,研究了不同信噪比微震信号在小波包分解结果中最高能量所在频带的区别,提出了微震监测有效信号自动识别模型,并通过千秋矿实测爆破数据对模型精度进行了定位检验。

In order to improve the accuracy and efficiency of automatically identifying the mine microseismic locating valid signal, signals collected by microseismic monitoring system werefive layers decomposition by wavelet packet analysis tool. The difference of where the microseismic signal signal to noise ratio in wavelet packet decomposition results in the highest energy band was studied. The microseismic monitoring signal automatic recognition model was proposed and positioning accuracy of the model was tested by blast measured data of Qianqiu coal mine.