三道庄矿微震信号辨识应用研究

Micro-seismic signal identification at Sandaozhuang Mine

针对三道庄矿生产作业环境复杂,从大量掺杂着的干扰信号中提取有效信号,有效地应用微震信号对岩石稳定性进行评价,对可能产生的破坏灾害进行预测具有重要意义。文章对该矿山各种微震信号源按实际监测需要进行了大致分类,分为岩体破裂信号、噪音信号和爆破信号三大类。在大量现场微震监测基础上,总结出了微震信号经验辨识法和频谱分析辨识法。利用经验辨识方法从波形振幅值、持续时间、上升时间、信号间隔等方面对各种震源波形的直观特征进行了辨识;利用频谱分析法对各种微震震源频率成分进行分析,总结出了三道庄矿各种微震震源信号特征。研究成果给矿山现场快速准确提取有用微震信号提供了依据。

Due to the complex production environment in Sandaozhuang Mine, a large number of noise signals are generated, which renders the assessment of rock stability difficult. This paper classifies the micro-seismic signal sources into rock burst signals, noise signals and blasting signals. The experience identification method and spectrum analysis identification method are summed up based on a large number of field monitoring experiences. The visual features of signals are analyzed by the experience identification method, such as wave amplitude value, signal duration, rise time and signal interval time. The frequency components of signals are calculated by the spectrum analysis.The characteristics of various microseismic signals are analyzed. The research results provide favorable technical support for an effective extraction of the useful signals.