Leak detection monitoring system of long distance oil pipeline based on dynamic pressure transmitter

被引:45
|
作者
Zhang, Yu [1 ]
Chen, Shili [1 ]
Li, Jian [1 ]
Jin, Shijiu [1 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
关键词
Pipeline; Leak detection; Dynamic pressure transmitter; Wavelet packet entropy; WAVELET;
D O I
10.1016/j.measurement.2013.12.009
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A dynamic pressure transmitter (DPT) is designed in this paper for long distance oil and gas pipeline, of which the design principle and main performance indices are introduced. A novel leak detection monitoring system (LDMS) of long distance oil pipeline based on DPT is designed, and the detection principle and system composition are specified. Dynamic pressure signals along the pipeline can be obtained by the DPT, and then the pipeline leak can be detected by extracting the wavelet packet entropy (WPE) of the signals. The WPE signal feature extraction method for judgment of pipeline leak is explored and developed. In addition, the influence of the wavelet basis and calculating window width on the identification performance of the WPE are further discussed. The application examples show that the DPT has higher detection sensitivity and leak resolution than the traditional pressure transmitter. The system can identify the pipeline leak correctly and reduce false alarm rate effectively. It can also improve detection sensitivity and localization accuracy. The system can correctly detect leaks with a rate of 96.7% and the greatest localization error is 101 m. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:382 / 389
页数:8
相关论文
共 50 条
  • [1] DEVELOPMENT ON DYNAMIC PRESSURE MONITORING METHOD AND SENSOR FOR LONG PIPELINE LEAK DETECTION
    Chen, Shili
    Sun, Yan
    Wang, Likun
    Chen, Pengchao
    Tan, Dongjie
    IPC2008: PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE CONFERENCE - 2008, VOL 1, 2009, : 457 - 459
  • [2] LEAK DETECTION METHOD FOR LONG PIPELINE BASED ON DYNAMIC PRESSURE AND WAVELET ANALYSIS
    Xu, Bin
    Wang, Likun
    Wang, Hongchao
    Xiong, Min
    Yu, Dongliang
    Tan, Dongjie
    PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE CONFERENCE 2010, VOL 3, 2010, : 445 - 451
  • [3] Development on Dynamic Pressure Sensor for Long Pipeline Leak Detection
    Chen, Shili
    Li, Pengcheng
    Wang, Likun
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 9168 - +
  • [4] RESEARCH ON PIPELINE LEAK DETECTION METHOD BASED ON JOINT PRESSURE & DYNAMIC PRESSURE
    Wang, Likun
    Xiong, Min
    Zhao, Jinyun
    Wang, Hongchao
    Xu, Bin
    Yu, DongLiang
    Sun, Yi
    Cai, Yongjun
    PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE CONFERENCE 2010, VOL 3, 2010, : 501 - 506
  • [5] A novel approach for dynamic pressure transducer based pipeline leak detection
    Lin, Weiguo
    Zhang, Xin
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 5299 - +
  • [6] RESEARCH ON MECHANICS MONITORING SYSTEM OF LONG DISTANCE OIL AND GAS PIPELINE
    Cui Tao
    Wang Weibin
    Liu Guangwen
    Ma Tingxia
    Tong Wenqiang
    IPC2008: PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE CONFERENCE - 2008, VOL 1, 2009, : 661 - 669
  • [7] Oil Pipeline Leak Detection System Based on Acoustic Wave Technology
    Wang, Likun
    Xu, Bin
    Wang, Hongchao
    Chen, Shili
    Wu, Jiayong
    Yu, Dongliang
    ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 1628 - +
  • [8] Chaotic characters based oil pipeline leak detection method and system
    Liu, Jinhai
    Wu, Zhenning
    Li, Yixin
    Lu, Danyu
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 2729 - 2734
  • [9] IoT Leak Detection System for Onshore Oil Pipeline Based on Thermography
    Maia, Danielle Mascarenhas
    Mendes, Joao Vitor Silva
    Silva, Joao Pedro Almeida Miranda
    Bastos, Rodrigo Freire
    Silva, Matheus dos Santos
    Mirre, Reinaldo Coelho
    de Melo, Thamiles Rodrigues
    Lepikson, Herman Augusto
    SENSORS, 2024, 24 (21)
  • [10] Oil pipeline leak detection based on index of dynamic Kernel independent components
    Gu, Xiaohua
    Li, Jingzhe
    Li, Taifu
    Tang, Haihong
    Liu, Xinghua
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2017, 38 (01): : 166 - 173