Laser & Optoelectronics Progress, Volume. 56, Issue 3, 030602(2019)

Experimental Analysis and Leakage Location Detection of Tap Water Pipe Based on Distributed Optical Fiber with Selective Average Threshold

Ya Zhao1, Qiang Wang1、*, and Zhangwei Ling2,3
Author Affiliations
  • 1 College of Quality and Safety Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
  • 2 Zhejiang Provincial Special Equipment Inspection and Research Institute, Hangzhou, Zhejiang 310018, China
  • 3 Key Laboratory of Special Equipment Safety Testing Technology of Zhejiang Province, Hangzhou, Zhejiang 310018, China
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    Based on the combination of Raman scattering and optical time domain reflection techniques, the distributed optical fiber is used for the simulation experiment of leakage detection and location of tap water pipes. The temperature detection signal is obtained under no leakage or slight leakage of a tap water pipe by a distributed optical fiber sensor. In the experiment, the absolute distance method is firstly used for clustering the temperature detection signals to identify whether there is leakage in the tap water pipe or not. Then, as for the no-leakage signals, a selective average threshold method is used for the determination of a threshold signal. Finally, the difference signal between the detection signal and the threshold signal is used for the identification of leakage location of a tap water pipe. The results show that the whole system is stable and can be used to accurately identify the leakage of tap water pipes. Moreover, the use of the selective average threshold method can accurately locate the leakage point.

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    Ya Zhao, Qiang Wang, Zhangwei Ling. Experimental Analysis and Leakage Location Detection of Tap Water Pipe Based on Distributed Optical Fiber with Selective Average Threshold[J]. Laser & Optoelectronics Progress, 2019, 56(3): 030602

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jun. 22, 2018

    Accepted: Aug. 23, 2018

    Published Online: Jul. 31, 2019

    The Author Email: Wang Qiang (qiangwang@cjlu.edu.cn)

    DOI:10.3788/LOP56.030602

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