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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 efficiency of automatic recognition of effective signal of microseismic location in mine and recognition accuracy, wavelet packet analysis is used to decompose the signals collected by microseismic monitoring system into five layers. The maximum energy of microseismic signal with different signal-to-noise ratio in wavelet packet decomposition Frequency band, proposed an effective automatic signal recognition model for microseismic monitoring, and verified the accuracy of the model by using the measured blasting data of Chiaokou Mine.