吴彦博, 张达, 冀虎, 戴锐, 石雅倩. 基于频域滤波的矿山微震信号分离方法研究[J]. 中国矿业, 2021, 30(10): 90-95. DOI: 10.12075/j.issn.1004-4051.2021.10.004
    引用本文: 吴彦博, 张达, 冀虎, 戴锐, 石雅倩. 基于频域滤波的矿山微震信号分离方法研究[J]. 中国矿业, 2021, 30(10): 90-95. DOI: 10.12075/j.issn.1004-4051.2021.10.004
    WU Yanbo, ZHANG Da, JI Hu, DAI Rui, SHI Yaqian. Research of signal separation method for mine microseismic signals based on frequency domain filtering[J]. CHINA MINING MAGAZINE, 2021, 30(10): 90-95. DOI: 10.12075/j.issn.1004-4051.2021.10.004
    Citation: WU Yanbo, ZHANG Da, JI Hu, DAI Rui, SHI Yaqian. Research of signal separation method for mine microseismic signals based on frequency domain filtering[J]. CHINA MINING MAGAZINE, 2021, 30(10): 90-95. DOI: 10.12075/j.issn.1004-4051.2021.10.004

    基于频域滤波的矿山微震信号分离方法研究

    Research of signal separation method for mine microseismic signals based on frequency domain filtering

    • 摘要: 在金属矿山实际生产过程中,矿震信号受到设备机械及开采作业影响成分复杂,矿山普遍面临着微震信号难以识别、提取困难等实际应用问题。本文通过对实际采集信号进行频谱特征分析,能够识别到有效谱峰,并进行频域滤波,从而分离得到多源信号分量; 并以微震和爆破两种典型信号为例,介绍了频谱特征分析、滤波分解以及边带信号的加窗压制等处理计算方法。本信号分离方法能够为分析多源复杂信号提供了一个新思路,并且对实现多源分离提供了有效的技术手段;该方法应用于金属矿山的微震安全监测,可以为矿震信号的分类识别、信号特征样本库的建立、信号触发到时的合理性评估提供可靠数据和分析方法支持,同时也有利于提高微震事件识别的准确性。

       

      Abstract: The mine seismic signals in the production of metal mines is complex, it is difficult to identify and extract appears.By spectrum analysis, component efficient and frequency domain filtering are applied to composite signals, the separated composite signal is obtained.In this paper, two typical signals for seismic and blasting are taking as examples, which are calculated by spectrum characteristic analysis, filtering decomposition and windowing of boundary signal.This method provides data and method support for the classification and identification of mine seismic signals, the statistics of signal sample bank characteristics, and the evaluation of signal trigger rationality in seismic safety monitoring of metal mines.At the same time, it is helpful to improve the accuracy of identifying microseismic events.

       

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