基于LabVIEW的微震实时监测系统
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摘要
以往基于DSP或其他单片机的微震系统,其资源的有限性很难达到理想的采集效果,同时也难以完成先进算法的实现,而对微震信号的去噪与还原在监测系统中起着很重要的作用;在深入分析小波变换的信号去噪方法基础上,对微震信号进行了处理,得到高信噪比的微震记录,实现了对噪声的有效抑止;同时在LabVIEW平台软件设计的基础上,实现了一种基于虚拟仪器微震实时检测的设计方案,充分发挥了虚拟仪器的优势,结果表明基于LabVIEW的微震系统能很好地完成实时监测及其分析。
As the mine accidents happen frequently in recent years,the detecting technology for microseism becomes much more important.However,there is no advanced microseism detecting system at home.It's pretty important for microseism's denoising and Reversion.A wavelet denoising method is presented here to process microseism signal,and the microseism record can get high signal to noise ratio.Meanwhile based on the software of LabVIEW,a design of real-time detecting system for microseism based on virtual instrument is presented. The advantage of the virtual instrument was sufficiently exerted to achieve the real-time detecting and analyzing of the microseism.
As the mine accidents happen frequently in recent years,the detecting technology for microseism becomes much more important.However,there is no advanced microseism detecting system at home.It's pretty important for microseism's denoising and Reversion.A wavelet denoising method is presented here to process microseism signal,and the microseism record can get high signal to noise ratio.Meanwhile based on the software of LabVIEW,a design of real-time detecting system for microseism based on virtual instrument is presented. The advantage of the virtual instrument was sufficiently exerted to achieve the real-time detecting and analyzing of the microseism.
引文
[1]王东霞,夏庆观.基于DSP技术的微震实时检测系统[J].微型机与应用,2005,3:15-18.
[2]彭玉花.小波变换与工程应用[M].北京:科学出版社,2002.
[3]孔祥茜,吴继伟,岳继光.地震信号小波变换的去噪方法[J].计算机辅助工程,2005,14(3):52-56.
[4]柳建新,韩世礼,马捷,等.小波分析在地震资料去噪中的应用[J].物探化探计算技术,2005,27(3):205-208.
[5]窦林名.多功能一体化微震系统[J].煤矿设计,1999,6:44-46.
[6]陈栋,岳林.LabVIEW和PCI_4472虚拟测试仪器的研制[J].中国测试技术,2005,31(3):118-120.
[7]范留明,黄润秋,吉随旺.地震动信号的小波分析[J].物探化探计算技术,2000,22(1):1-4.
[8]刘君华,贾惠芹,等.虚拟仪器图形化编程语言LabVIEW教程[M].西安:西安电子科技大学出版社,2001.
[9]许康生.地震信号的时频分析[J].西北地震学报,2000,22(4):479-482.
[10]刘尽忱,傅盛国.一种人工地震信号检测与处理系统[J].东北地震研究,1994,10(2):49-56.
[2]彭玉花.小波变换与工程应用[M].北京:科学出版社,2002.
[3]孔祥茜,吴继伟,岳继光.地震信号小波变换的去噪方法[J].计算机辅助工程,2005,14(3):52-56.
[4]柳建新,韩世礼,马捷,等.小波分析在地震资料去噪中的应用[J].物探化探计算技术,2005,27(3):205-208.
[5]窦林名.多功能一体化微震系统[J].煤矿设计,1999,6:44-46.
[6]陈栋,岳林.LabVIEW和PCI_4472虚拟测试仪器的研制[J].中国测试技术,2005,31(3):118-120.
[7]范留明,黄润秋,吉随旺.地震动信号的小波分析[J].物探化探计算技术,2000,22(1):1-4.
[8]刘君华,贾惠芹,等.虚拟仪器图形化编程语言LabVIEW教程[M].西安:西安电子科技大学出版社,2001.
[9]许康生.地震信号的时频分析[J].西北地震学报,2000,22(4):479-482.
[10]刘尽忱,傅盛国.一种人工地震信号检测与处理系统[J].东北地震研究,1994,10(2):49-56.
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