基于地震动信号的管道安全监测系统的研究
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摘要
针对目前广泛存在的油气管道周边安全问题,提出基于地震波信号检测和处理的管道安全监测方法.地震检波器组及处理单元组成的检测系统采集管道周围地面入侵目标在活动时产生的地震动信号;由于不同目标产生地震波信号的频率、能量等特征不同,通过小波变换的时频分析方法处理这些信号,可以获得不同传感器测量信号中入侵目标特征频率出现的时间差异;根据时间差和传感器阵列与入侵目标的相对位置,实现对入侵目标的空间定位.通过对实验外场实测数据的分析验证了本文提出的方法.
A pipeline security monitoring method based on the seismic signal detection and processing was proposed aiming at the oil and gas pipeline peripheral security problem.When the ground was impacted the produced seismic signals were acquired by the detecting system composed of geophones and processing unit.Because of the eigenvalue frequencies and characteristic energy difference existing in the signals produced by different object impacts,these signals were processed using the time-frequency analysis method of wavelet transformation to get the time differences when the different target eigenvalue frequencies appearing in different sensor signals.According to the time difference and relative position between the sensor array and invasion target,the spacial location of invading target can be realized.The detection method above was verified through the outside experiments and data analysis.
A pipeline security monitoring method based on the seismic signal detection and processing was proposed aiming at the oil and gas pipeline peripheral security problem.When the ground was impacted the produced seismic signals were acquired by the detecting system composed of geophones and processing unit.Because of the eigenvalue frequencies and characteristic energy difference existing in the signals produced by different object impacts,these signals were processed using the time-frequency analysis method of wavelet transformation to get the time differences when the different target eigenvalue frequencies appearing in different sensor signals.According to the time difference and relative position between the sensor array and invasion target,the spacial location of invading target can be realized.The detection method above was verified through the outside experiments and data analysis.
引文
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[2]陈仁文.小波变换在输油管道漏油实时监测中的应用[J].仪器仪表学报,2005,26(3):242-245.Chen Renwen.The applications of wavelet transform in oil leakage online detection[J].Chinese Journal of ScientificInstrument,2005,26(3):242-245.(in Chinese)
[3]杨成林.瑞利波探测[M].北京:地质出版社,1993:35-40.
[4]裴正林.小波理论及其在地震数据处理中的应用[J].地球物理学进展,2002,17(3):486-490.Pei Zhenglin.Wavelet theory and its application in seismic data processing[J].Progress in Geophysics,2002,17(3):486-490.(in Chinese)
[5]Shy Jier,Cheng Tao Hsieh.Application of morlet wavelet to supervise power system disturbances[J].IEEE Trans.on Power Delivery,1999,14(1):235-243.
[6]何岭松,李巍华.用Morlet小波进行包络检波分析[J].振动工程学报,2002,15(1):119-122.He Lingsong,Li Weihua.Morlet wavelet and its application in enveloping[J].Journal of Vibration Engineering,2002,15(1):119-122.(in Chinese)
[7]Lan J H,Nahavandi S,LAN T,et al.Recognition of moving ground targets by measuring and processing seismicsignal[J].Measurement,2005,37(2):189-199.
[8]张卫平,王伟策.任意形状三阵元平面声被动目标定位分析[J].探测与控制学报,2003,25(3):54-57.Zhang Weiping,Wang Weice.The analyze of passive acoustic location in plane by random shape array of three sensor[J].Journal of Detection&Control,2003,25(3):54-57.(in Chinese)
[9]龚享铱.一种基于极坐标的无源定位与跟踪稳定算法研究[J].信号处理,2005,21(4):402-405.Gong Chunyi.Analysis of the location and tracking robust algorithm based on polar coordinates[J].SignalProcessing,2005,21(4):402-405.(in Chinese)
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