Acoustic injection method based on weak echo signals for leak detection and localization in gas pipelines

被引:5
|
作者
Yan, Zhaoli [1 ]
Cui, Xiwang [2 ]
Gao, Yan [1 ]
机构
[1] Chinese Acad Sci, Inst Acoust, Key Lab Noise & Vibrat Res, Beijing 100190, Peoples R China
[2] Beijing Informat Sci & Technol Univ, Sch Instrument Sci & Optoelect Engn, Beijing 100192, Peoples R China
基金
中国国家自然科学基金;
关键词
Leak detection; Leak localization; Acoustic injection; Gas pipelines; NOISE; WAVE; EXCITATION; LOCATION;
D O I
10.1016/j.apacoust.2023.109577
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Underground gas pipelines are facing health and safety issues due to the material corrosion and equipment aging. Conventional acoustic methods may fail to detect and localize leaks in low and medium pressure gas pipelines because the sound of gas escaping from a leak source is usually too weak to be detected. In this paper, an active acoustic injection method is presented to stimulate specific frequency sound waves into the pipeline for leak detection based on weak echoes from the leak location. Further analysis is conducted on the relationships between the reflection coefficient and the size of the leak hole, the pipe diameter, the wall thickness of the pipe and the sound frequency. A signal reconstruction method is subsequently proposed to effectively detect and localize the echo signals. Finally, some experiments are carried out in a specially constructed gas pipe. Field test results indicate that a leak localization accuracy of 0.1 m can be achieved by the proposed method, which may be beneficial to practical leakage detection in gas pipelines.
引用
收藏
页数:10
相关论文
共 50 条
  • [11] Detection method for microleakage acoustic wave signals in natural gas pipelines based on chaotic oscillators
    Chen, Hongyu
    Yi, Kang
    Cai, Changxin
    Liao, Jinwei
    Zhao, Sheng
    Dai, Xing
    Hong, Bin
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2025, 36 (01)
  • [12] Modelling and Monitoring of Natural Gas Pipelines: New Method for Leak Detection and Localization Estimation
    Pan, Xinghua
    Karim, M. Nazmul
    12TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING (PSE) AND 25TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT B, 2015, 37 : 1787 - 1792
  • [13] Study on acoustic based leak detection and localization of nature gas pipeline
    Hua, Ke
    Ye, Hao
    Wang, Guizen
    Chen, Shaoping
    Li, Guosen
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2009, 37 (SUPPL. 1): : 181 - 183
  • [14] Improved PSO-Based Method for Leak Detection and Localization in Liquid Pipelines
    Zhang, Haoran
    Liang, Yongtu
    Zhang, Wan
    Xu, Ning
    Guo, Zhiling
    Wu, Guangming
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (07) : 3143 - 3154
  • [15] A new leak location method based on leakage acoustic waves for oil and gas pipelines
    Liu, Cui-wei
    Li, Yu-xing
    Yan, Yu-kun
    Fu, Jun-tao
    Zhang, Yu-qian
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2015, 35 : 236 - 246
  • [16] New leak-localization approaches for gas pipelines using acoustic waves
    Liu, Cuiwei
    Li, Yuxing
    Fang, Liping
    Xu, Minghai
    MEASUREMENT, 2019, 134 : 54 - 65
  • [17] Characteristics analysis of vacuum gas leak detection signals based on acoustic emission
    Zhang, Tao
    Zeng, Zhou-Mo
    Li, Yi-Bo
    Wang, Wei-Kui
    Bian, Xu
    International Journal of Automation Technology, 2013, 8 (01) : 57 - 61
  • [18] Investigation on leakage detection and localization in gas-liquid stratified flow pipelines based on acoustic method
    Li, Xuejie
    Xue, Yuan
    Du, Huimin
    Yue, Linjing
    Ding, Rui
    Liu, Cuiwei
    Li, Yuxing
    JOURNAL OF PIPELINE SCIENCE AND ENGINEERING, 2022, 2 (04):
  • [19] Determination of acoustic speed for improving leak detection and location in gas pipelines
    Li, Shuaiyong
    Wen, Yumei
    Li, Ping
    Yang, Jin
    Yang, Lili
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2014, 85 (02):
  • [20] Leak Detection in Gas Distribution Pipelines using Acoustic Impact Monitoring
    Karkulali, Pugalenthi
    Mishra, Himanshu
    Ukil, Abhisek
    Dauwels, Justin
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 412 - 416