基于LaBVIEW平台小波变换在微震信号去噪中的应用
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摘要
微震监测系统中,数据采集卡采集到的原始震动数据含有各种噪声,对大量含噪信号需要进行去噪预处理,才能剥离出有用信号,为进一步的分析处理提供数据。提出基于可视化软件LaBVIEW的信号处理模块的Wavelet Analysis工具,无需调用MATLAB Script节点实现小波变换,提高了微震信号的去噪效率。通过对采集到的实际矿山信号,在离散小波变换和非抽样小波变换下采用4种阀值去噪,去噪效果均可满足实际信号处理的需求,并通过比较信噪比,得出最佳去噪方法。
In the microseismic monitoring system,the original vibration data collected by data acquisition card inevitably contains all kinds of noise and interference.A large number of noisy signals are needed to be preprocessed by de-noising,so as to obtain useful signals to provide data for further analysis.The Wavelet Analysis tool of signal processing module based on visualization software LaBVIEW was put forward,which did not need to call MATLAB Script node to realize wavelet transform,and improved the de-noising efficiency of microseismic signal.Aimed at the collected mining signals,four threshold methods were used for de-noising under the change of discrete wavelet transform and non-sampling wavelet transform.The de-noising effect could meet the actual signal processing requirements.The optimum de-noising method was obtained by comparing the signal to noise ratio.
In the microseismic monitoring system,the original vibration data collected by data acquisition card inevitably contains all kinds of noise and interference.A large number of noisy signals are needed to be preprocessed by de-noising,so as to obtain useful signals to provide data for further analysis.The Wavelet Analysis tool of signal processing module based on visualization software LaBVIEW was put forward,which did not need to call MATLAB Script node to realize wavelet transform,and improved the de-noising efficiency of microseismic signal.Aimed at the collected mining signals,four threshold methods were used for de-noising under the change of discrete wavelet transform and non-sampling wavelet transform.The de-noising effect could meet the actual signal processing requirements.The optimum de-noising method was obtained by comparing the signal to noise ratio.
引文
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[10] RajVNP,Venkateswarlu T.ECG signal denoising using undecimated wavelet transform[C]//2011 3rd International Conference on Electronics ComputerTechnology(ICECT)IEEE,2011(3):94-98.
[2]唐守峰,童敬明,潘玉祥,等.煤岩破裂微震信号的小波特征能谱系数分析法[J].仪器仪表学报,2011,32(7):1521-1527.
[3]张琛,原思聪,王蓉,等.小波阈值去噪技术及其在LaBVIEW上的实现[J].自动化仪表,2013,34(11):17-20.
[4]徐宏斌,李庶林,陈际经.基于小波变换的大尺度岩体结构微震监测信号去噪方法研究[J].地震学报,2012,34(1):85-96.
[5]孙兴林,匡中文,王晨辉,等.基于Matlab的矿震信号小波分析[J].煤矿安全,2012,43(6):168-171.
[6]许大为,潘一山,李国臻,等.基于小波变换的矿山微震信号滤波方法研究[J].矿业工程,2007,19(2):66-68.
[7]郑对元.精通labview虚拟仪器程序设计[M].北京:清华大学出版社,2012.
[8]李瑞,周冰,胡仁喜.LaBVIEW2009中文版虚拟仪器从入口到精通[M].北京:机械工业出版社,2011.
[9]刘敏,王恩元,刘贞堂,等.小波降噪在煤岩微震信号处理中的应用[J].矿业研究与开发,2011,31(2):67-70.
[10] RajVNP,Venkateswarlu T.ECG signal denoising using undecimated wavelet transform[C]//2011 3rd International Conference on Electronics ComputerTechnology(ICECT)IEEE,2011(3):94-98.