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): 295-300. DOI: 10.5768/JAO201839.0208003
引用本文: 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): 295-300. DOI: 10.5768/JAO201839.0208003
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): 295-300. DOI: 10.5768/JAO201839.0208003
Citation: 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): 295-300. DOI: 10.5768/JAO201839.0208003

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

  • 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.

     

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