Underwater Natural Gas Pipeline Leakage Detection based on Interferometric Fiber Optic Sensor in Experiment-scale

被引：5
作者：
Wang, Qiang [1 ]
Wang, Xiaowei [1 ]
机构：
[1] China Jiliang Univ, Sch Qual & Safety Engn, Hangzhou 310018, Zhejiang, Peoples R China
来源：
2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年
关键词：
Underwater; Gas Pipeline; Leakage Detection; Optic Fiber; Interferometer; SAGNAC INTERFEROMETER; LOCATION;
D O I：
10.1109/CCDC.2010.5499075
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A distributed optical fiber sensor of underwater gas transmission pipeline leak detector is demonstrated based on spectrum analysis of hybrid interferometer OTDR system. The feasibility of separately locating underwater pipe leaky source and phase signal demodulation scheme were theoretically analyzed. The system is capable of detecting simulated gas pipeline leakage acoustic signal. In underwater waveguide laboratory, the interferometer was used to localize leaky source. The water flow velocity varies from 2 m/s to 4 m/s. The ambient noise interference produced by flow current was discussed. The wavelet transform was performed to improve null frequency capture ability. The localization scheme is tested by the partial experiment data.
引用
收藏
页码：257 / 260
页数：4
相关论文
共 50 条
[21]   Miniature single-fiber photoacoustic sensor for methane gas leakage detection [J].
Li, Chenyang ;
Guo, Min ;
Zhang, Bo ;
Li, Chenxi ;
Yang, Beilei ;
Chen, Ke .
OPTICS AND LASERS IN ENGINEERING, 2022, 149
[22]   Leakage detection in a buried gas pipeline based on distributed optical fiber time-domain acoustic wave signal [J].
Zhang, Jia ;
Lian, Zhanghua ;
Zhou, Zhaoming ;
Song, Zijun ;
Liu, Meng ;
Yang, Kelong .
ENGINEERING FAILURE ANALYSIS, 2022, 141
[23]   Experimental investigation of fiber Bragg grating hoop strain sensor-based method for sudden leakage monitoring of gas pipeline [J].
Jiang, Tao ;
Ren, Liang ;
Wang, Jia-jian ;
Jia, Zi-guang ;
Li, Dong-sheng ;
Li, Hong-nan .
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2021, 20 (06) :3024-3035
[24]   A CNN Model for Gas Pipeline Leakage Detection Based on MFCC Feature Extraction [J].
Sun, Chen ;
Wan, Yujie ;
Zhu, Peizhi ;
Lin, Fanqiang .
PROCEEDINGS OF 2023 THE 12TH INTERNATIONAL CONFERENCE ON NETWORKS, COMMUNICATION AND COMPUTING, ICNCC 2023, 2023, :288-293
[25]   Gas pipeline leakage detection and localization method based on VMD-DTW [J].
Wang, Yang ;
Liu, Wenzhuo ;
Zhang, Qiang ;
Feng, Long ;
Liu, Wei .
FLOW MEASUREMENT AND INSTRUMENTATION, 2025, 102
[26]   Interferometric fiber optic sensor interrogation system using digital signal processing and synthetic-heterodyne detection [J].
Griffin, B ;
Connelly, MJ .
17th International Conference on Optical Fibre Sensors, Pts 1 and 2, 2005, 5855 :619-622
[27]   Modeling of gas pipeline in order to implement a leakage detection system using artificial neural networks based on instrumentation [J].
Rahmati, Mohsen .
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2019, 32 (02)
[28]   Research of disturbance detection based on a novel double Sagnac distributed fiber-optic Sensor [J].
Xu Haiyan ;
Zhang Yi ;
Feng Yang ;
Zhao Dong .
INTERFEROMETRY XV: APPLICATIONS, 2010, 7791
[29]   Long Distance Large Diameter Heating Pipeline Leakage Detection Based on Acoustic Pressure Sensor [J].
Xu, Tao ;
Geng, Manghe ;
Liang, Ce .
2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, :2289-2294
[30]   A semi-supervised leakage detection method driven by multivariate time series for natural gas gathering pipeline [J].
Zuo, Zhonglin ;
Ma, Li ;
Liang, Shan ;
Liang, Jing ;
Zhang, Hao ;
Liu, Tong .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 164 :468-478
12345