应用光学, 2018, 39 (2): 295, 网络出版: 2018-08-08   

基于小波包能量谱的分布式光纤燃气管道泄漏监测及实验分析

Monitoring and experimental analysis of distributed optical fiber pipeline leakage based on wavelet packet energy spectrum
作者单位
1 中国计量大学 质量与安全工程学院, 浙江 杭州 310018
2 山东省特种设备检验研究院 泰安分院, 山东 泰安 271000
3 杭州市特种设备检测研究院, 浙江 杭州 310018
摘要
基于Mach-Zehnder/Sagnac混合干涉仪原理, 利用分布式光纤对城市燃气管道进行泄漏监测模拟实验研究。对测量光纤长4 km和6 km时的干涉信号利用小波包能量谱提取法和绝对距离法相结合的方法诊断管道泄漏与否, 再结合频谱图进行泄漏定位, 最后对系统的虚警率(false alarm rate, FAR)进行了分析。结果表明, 与传统直接通过频谱图识别零点频率的方法相比, 虚警率降低了8.475%, 能够更准确地识别燃气管道泄漏与否, 从而提高系统监测及定位的可靠性。
Abstract
Based on the principle of Mach-Zehnder and Sagnac hybrid interferometer, the simulated experiment of urban gas pipeline leakage monitoring was carried out using distributed optical fiber sensor. Firstly, the method of wavelet packet energy spectrum extraction and the absolute distance method were combined to process the interference signals caused by pipeline leakage when measuring optic fiber length are 4 km and 6 km. Then the gas pipeline leakage was located according with the frequency spectrograms. Finally, the false alarm rate(FAR) of the distributed optical fiber system was analyzed.The results show that the FAR of proposed method reduces by 8.475%, compared with the traditional zero frequency spectrum localization method,it can more accurately identify the gas pipeline leak or not, thereby enhancing the reliability of system monitoring and positioning.
参考文献

[1] 任峰, 何仁洋, 刘长征, 等.城市燃气埋地钢质管道泄漏检测定位技术[J].管道技术与设备, 2016(2): 13-16.

    REN Feng, HE Renyang, LIU Changzheng, et al. Leakage detection and positioning technology of urban gas buried steel pipeline[J]. Pipeline Technique and Equipment, 2016 (2): 13-16.

[2] 张晓威, 刘锦昆, 陈同彦,等. 基于分布式光纤传感器的管道泄漏监测试验研究[J]. 水利与建筑工程学报, 2016, 14(03): 1-6.

    ZHANG Xiaowei, LIU Jinkun, CHEN Tongyan, et al. Experimental study on pipeline leak monitoring based on distributed optical fiber sensor[J]. Journal of Water Conservancy and Building Engineering, 2016, 14 (03): 1-6.

[3] SPAMMER S J, SWART P L, BOOYSEN A. Interferometric distributed optical-fiber sensor[J]. Applied Optics, 1996, 35(22): 4522-4525.

[4] HUANG S C, LIN W W, TSAI M T, et a1. Fiber optic in-line distributed sensor for detection and localization of the pipeline leaks[J]. Sensors and Actuators A: Physical, 2007, 135(2): 570-579.

[5] 胡正松, 杨其华, 乔波. 干涉分布式光纤水下长输气管道泄漏检测系统设计[J]. 激光与光电子学进展, 2012, 49(7): 69-73.

    HU Zhengsong,YANG Qihua,QIAO Bo. Design of interference distributed fiber-optic underwater long gas pipeline leakage detection system[J]. Laser and Optoelectronics Progress,2012,49(7): 69-73.

[6] HUANG Yue, WANG Qiang, SHI Lilian, et al. Underwater gas pipeline leakage source localization by distributed fiber-optic sensing based on particle swarm optimization tuning of the support vector machine[J]. Applied Optics, 2016, 55(2): 242.

[7] 崔晓燕. 城市燃气管道泄漏检测技术的发展现状探究[J]. 中国石油石化, 2016(22): 67-68.

    CUI Xiaoyan. Research on the development of leakage detection technology for urban gas pipeline[J]. China Petroleum and Petrochemical, 2016 (22): 67-68.

[8] 黄悦, 王强, 韩玲娟,等. 基于支持向量机的分布式光纤泄漏检测定位系统及实验分析[J]. 应用光学, 2015, 36(3): 424-429.

    HUANG Yue, WANG Qiang, HAN Lingjuan, et al. Distributed optical fiber leak detection positioning system based on support vector machines and experimental analysis[J]. Journal of Applied Optics, 2015, 36 (3): 424-429.

[9] 章仁杰, 杨其华, 王强,等. 混合干涉型分布式光纤天然气管道泄漏检测及定位方法研究[J]. 中国计量学院学报, 2013, 24(02): 114-118.

    ZHANG Renjie, YANG Qihua, WANG Qiang, et al. Study on leak detection and location method of hybrid interferometric distributed optical fiber gas pipeline[J]. Journal of China Jiliang University, 2013, 24 (02): 114-118.

[10] 韩玲娟, 王强, 杨其华,等. 基于分布式光纤传感的水下输气管道泄漏检测与定位分析[J]. 传感技术学报, 2015(7): 1097-1102.

    HAN Lingjuan, WANG Qiang, YANG Qihua, et al. Leak detection and location analysis of underwater gas pipeline based on distributed optical fiber sensing[J]. Journal of Sensing Technology, 2015 (7): 1097-1102.

[11] 谢娜, 崔广宇. 测试性虚警率指标分配技术研究[J]. 测控技术, 2014, 33(4): 141-144.

    XIE na, CUI Guangyu. Research on index allocation of testability false alarm rate[J]. Measurement and Control Technology, 2014, 33 (4): 141-144.

[12] 王超, 黄彩萍, 艾德米,等. 基于统计小波包能量分布的结构健康状况预警[J]. 土木工程与管理学报, 2016, 33(06): 12-15.

    WANG Chao, HUANG Caiping, AI demi, et al. Prediction of structural health status based on statistical wavelet packet energy distribution[J]. Journal of Civil Engineering and Management, 2016, 33 (06): 12-15.

[13] 王玮. 基于聚类分析的建筑施工安全事故统计分析[J]. 蚌埠学院学报, 2017, 6(01): 34-37.

    WANG Wei. Statistical analysis of construction safety accidents based on cluster analysis[J]. Journal of Bengbu College, 2017, 6 (01): 34-37.

[14] 廖志芳, 李鹏, 刘克准, 等. 数据聚类分析新方法研究[J]. 计算机工程与应用, 2009, 45(10): 147-150.

    LIAO Zhifang, LI Peng, LIU Kezhun, et al. Research on new methods of data clustering analysis[J]. Computer Engineering and Applications, 2009, 45 (10): 147-150.

赵亚, 王强, 翟永军, 胡栋, 丁无极, 廖晓玲. 基于小波包能量谱的分布式光纤燃气管道泄漏监测及实验分析[J]. 应用光学, 2018, 39(2): 295. Zhao Ya, Wang Qiang, Zhai Yongjun, Hu Dong, Ding Wuji, Liao Xiaoling. Monitoring and experimental analysis of distributed optical fiber pipeline leakage based on wavelet packet energy spectrum[J]. Journal of Applied Optics, 2018, 39(2): 295.

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