基于HHT的管道监测系统中目标定位方法研究
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摘要
针对输油管道由于人为因素造成的破坏,通过研究管道周围地面目标产生的震动信号的特性来进行监测和预警,提出一种基于目标特征频率信号到达时间差进行定位的方法。地震动信号是非平稳信号,通过多个传感器采集目标产生的震动信号,采用希尔伯特-黄变换(HHT)处理获得信号特征频率,以及不同测量信号中目标特征频率出现的时间,结合时间差异和传感器阵列与目标的相对位置实现定位。通过对实验采集数据的分析验证了文中提出的方法是有效的。
Aiming at the widely existing destruction of the oil and gas pipeline from human factors,the characteristic of seismic signals generated by the ground targets around the pipeline was investigated and used to monitor and pre-alarm the pipeline security.This paper proposes a localization method based on the arrival time difference of different target characteristic frequencies.The seismic signals are typically non-stationary signals.The seismic signals generated by different targets are acquired by many geophones and detection modules.As a new time-frequency method,Hilbert-Huang transform is used to process the signals and obtain the characteristic frequencies and appearance time.The arrival time difference,the sensor location and the relative position of the target and sensors are analyzed and the target localization can be achieved.An experiment system was designed and the seismic signals were acquired.The proposed processing method was confirmed effective through real experiment data analysis.
Aiming at the widely existing destruction of the oil and gas pipeline from human factors,the characteristic of seismic signals generated by the ground targets around the pipeline was investigated and used to monitor and pre-alarm the pipeline security.This paper proposes a localization method based on the arrival time difference of different target characteristic frequencies.The seismic signals are typically non-stationary signals.The seismic signals generated by different targets are acquired by many geophones and detection modules.As a new time-frequency method,Hilbert-Huang transform is used to process the signals and obtain the characteristic frequencies and appearance time.The arrival time difference,the sensor location and the relative position of the target and sensors are analyzed and the target localization can be achieved.An experiment system was designed and the seismic signals were acquired.The proposed processing method was confirmed effective through real experiment data analysis.
引文
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[2]崔谦.油气管道泄漏检测方法的研究及应用[D].天津:天津大学,2005:1-7.CUI Q.Study on oil and gas pipeline leak detectionmethods and their application[D].Tianjin:Tianjin Uni-versity,2005:1-7.
[3]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 R W.The applications of wavelet transform in oilleakage online detection[J].Chinese Journal of ScientificInstrument,2005,26(3):242-245.
[4]PAKHOMOV A,PISANO D,SICIGNANO A,et al.High performance seismic sensor requirements for mili-tary and security applications[C].Proc.of SPIE,2005,5796-604358.
[5]姚姚.地震波场与地震勘探[M].北京:地质出版社,2006:22-26.YAO Y.Seismic wave field and seismic exploration[M].Beijing:Geological Publiching House,2006:22-26.
[6]STAFSUDD J Z,ASGARI R,HUDSON,et al.Localiza-tion of short-range acoustic and seismic widebandsources:Algorithms and experiments[J].Journal ofSound and Vibration,2008,312:74-93.
[7]胡来招.无源定位[M].北京:国防工业出版社,2004:150-165.HU L ZH.Passive locating[M].Beijing:National De-fence Industry Publishing House,2004:150-165.
[8]杨培杰,印兴耀,张广智.希尔伯特-黄变换地震信号时频分析与属性提取[J].地球物理学进展,2007,22(5):1585-1590.YANG P J,YIN X Y,ZHANG G ZH.Seismic signaltime-frequency analysis and attributes extraction based onHHT[J].Progress in Geophysics,2007,22(5):1585-1590.
[9]RILLING G,FLANDRINP,GONCALVES P.On empir-ical mode decomposition and its algorithms[C].Proc.IEEE-EURASI PWorksho Pon Nonlinear Signal and Im-age Processing,2003:8-11.
[10]HUANG N E,SHEN Z,LONG S R,et al.The empiricalmode decomposition and Hilbert spectrum for nonlinearand non-stationary time series analysis[J].Proc.Roy.Soc.London A,1998,454:903-995.
[11]汤宝平,钟佑明,程发斌.基于HHT的非平稳信号分析仪的研究[J].仪器仪表学报,2007,28(1):29-33.TANG B P,ZHONG Y M,CHENG F B.Research onnon-stationary signal analyzer based on HHT[J].Chi-nese Journal of Scientific Instrument,2007,28(1):29-33.
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