基于HHT的地面活动目标定位方法的研究
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摘要
针对广泛存在的油气管道周边安全问题,研究了管道周围地面活动目标产生的震动信号的特性,阐述了采用不同传感器测量信号到达时间差来进行定位的方法。地面震动信号是非平稳信号,采用希尔伯特黄变换(HHT)处理信号获得其特征频率、幅值与发生的时间,进行目标定位。设计了数据采集系统,通过多个传感器采集目标产生的震动信号,经HHT方法处理得到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。
Aimed at the widely existing peripheral security problems around the oil and gas pipeline,the characteristics of seismic signals generated by the ground moving targets were investigated.The seismic signals,acquired by many geophones and detection system,generally appear at different time.The target localization principle based on the arrival time difference was proposed.As a new time-frequency method,Hilbert-Huang transform was used to process these signals and the eigenvalue frequencies,the amplitudes and the different appearance times were obtained.The ground moving target localization was then achieved.An experimental system was designed and the seismic signals were collected by approprite sensors.These signals were processed by HHT method to get the different appearance time of target feature frequency.The arrival time difference,the sensor array location and the relative position of target to sensors were analyzed and the target localization problem was solved.The processing method above was verified through the real experiments data analysis.
Aimed at the widely existing peripheral security problems around the oil and gas pipeline,the characteristics of seismic signals generated by the ground moving targets were investigated.The seismic signals,acquired by many geophones and detection system,generally appear at different time.The target localization principle based on the arrival time difference was proposed.As a new time-frequency method,Hilbert-Huang transform was used to process these signals and the eigenvalue frequencies,the amplitudes and the different appearance times were obtained.The ground moving target localization was then achieved.An experimental system was designed and the seismic signals were collected by approprite sensors.These signals were processed by HHT method to get the different appearance time of target feature frequency.The arrival time difference,the sensor array location and the relative position of target to sensors were analyzed and the target localization problem was solved.The processing method above was verified through the real experiments data analysis.
引文
[1]靳世久,唐秀家,王立宁,等.原油管道泄漏检测与定位[J].仪器仪表学报,1997,18(4):343-348.
[2]崔谦.油气管道泄漏检测方法的研究及应用[D].天津大学,2005.
[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.
[4]姚姚.地震波场与地震勘探[M].北京:地质出版社,2006:22-26.
[5]Alex Pakhomov,Tim Goldburt.NewSeismic Unattended Small Module for Foot-Step Detection[C].Proc.Of SPIE,2006,6231,623108.
[6]Stafsudd J Z,Asgari S,Hudson etc R.Localization of short-range acoustic and seismic wideband sources:Algorithms and experiments[J].Journal of Sound and Vibration,2008,312:74-93.
[7]胡来招著.无源定位[M].北京:国防工业出版社,2004,1:150-165.
[8]Wilson D K et al.High-fidelity simulation capability for virtu-al testing of seismic and acoustic sensors[C].Proceedings of SPIE,2005,5796:105-116.
[9]Huang N E,Shen Z,Long S R,et al.The empirical mode de-composition and Hilbert spectrum for nonlinear and non-sta-tionary time series analysis[J].Proc.Roy.Soc.London A,1998,454:903-995.
[10]钟佑明,秦树人,汤宝平.一种振动信号新变换法的研究[J].振动工程学报,2002,15(2):233-238.
[11]高强,李良敏,等.EMD趋势分析方法及其应用研究[J].振动与冲击,2007,26(8):98-100.
[12]Li H,Zheng H Q,Tang L W.Hilbert-Huang Transform and its Application in Gear Faults Diagnosis.[J]Key Engineering Materials.2005,291-292:655-660.
[2]崔谦.油气管道泄漏检测方法的研究及应用[D].天津大学,2005.
[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.
[4]姚姚.地震波场与地震勘探[M].北京:地质出版社,2006:22-26.
[5]Alex Pakhomov,Tim Goldburt.NewSeismic Unattended Small Module for Foot-Step Detection[C].Proc.Of SPIE,2006,6231,623108.
[6]Stafsudd J Z,Asgari S,Hudson etc R.Localization of short-range acoustic and seismic wideband sources:Algorithms and experiments[J].Journal of Sound and Vibration,2008,312:74-93.
[7]胡来招著.无源定位[M].北京:国防工业出版社,2004,1:150-165.
[8]Wilson D K et al.High-fidelity simulation capability for virtu-al testing of seismic and acoustic sensors[C].Proceedings of SPIE,2005,5796:105-116.
[9]Huang N E,Shen Z,Long S R,et al.The empirical mode de-composition and Hilbert spectrum for nonlinear and non-sta-tionary time series analysis[J].Proc.Roy.Soc.London A,1998,454:903-995.
[10]钟佑明,秦树人,汤宝平.一种振动信号新变换法的研究[J].振动工程学报,2002,15(2):233-238.
[11]高强,李良敏,等.EMD趋势分析方法及其应用研究[J].振动与冲击,2007,26(8):98-100.
[12]Li H,Zheng H Q,Tang L W.Hilbert-Huang Transform and its Application in Gear Faults Diagnosis.[J]Key Engineering Materials.2005,291-292:655-660.
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