Acta Optica Sinica, Volume. 41, Issue 7, 0706002(2021)

Novel Intelligent Long-Distance Optical Fiber Pre-Warning Algorithm

Fang Wang* and Jichuan Xing
Author Affiliations
  • Key Laboratory of Photonics Information Technology, Ministry of Industry and Information Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
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    Figures & Tables(17)
    Structure of long-distance optical fiber pre-warning system
    Φ-OTDR vibration signal acquisition system
    Vibration event classification process
    Structure of the improved neural network
    Multi-scale decomposition tree of wavelet packet decomposition
    ANN network used for classification
    DNN network used for classification
    Three signal samples in Baoshan area of Shanghai. (a) NI event; (b) MG event; (c) ME event
    Comparison of signal samples before and after Max Abs Scaler. (a1)(a2) NI event; (b1)(b2) MG event; (c1)(c2) ME event
    Signal and its WPE distributions. (a)NI event; (b)MG event; (c) ME event
    Relationship between number of epoch and validation accuracy, training loss during training. (a) Validation accuracy; (b) training loss
    Comparison of occurrence probability of MD event in model recognition. (a) Before using the improved neural network; (b) after using the improved neural network
    • Table 1. The first experiment data

      View table

      Table 1. The first experiment data

      Type of eventNumber oftraining setsCollection location oftraining sets /kmNumber oftest setsCollection location oftest sets /km
      NI55002.9920002.99
      MG55006.2120006.21
      ME55005.6820005.68
    • Table 2. Signal recognition accuracy of the first experimentunit:%

      View table

      Table 2. Signal recognition accuracy of the first experimentunit:%

      Type of eventMethod 1Method 2Method 3
      NI98.295.995.0
      MG97.595.593.1
      ME96.194.292.5
      Average accuracy97.295.293.5
    • Table 3. The second experiment data

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      Table 3. The second experiment data

      Type of eventNumber oftraining setsCollection location oftraining sets /kmNumber oftest setsCollection location oftest sets /km
      NI55002.99200014.96
      MG55006.21200016.86
      ME55005.6820006.24
    • Table 4. Signal recognition accuracy of the second experimentunit:%

      View table

      Table 4. Signal recognition accuracy of the second experimentunit:%

      Type of eventMethod 1Method 2Method 3
      NI98.095.294.0
      MG96.394.092.1
      ME95.492.790.5
      Average accuracy96.593.892.2
    • Table 5. Comparison of the recognition time of the three methods

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      Table 5. Comparison of the recognition time of the three methods

      Number of test setsMethod 1Method 2Method 3
      20001.74 s5.43 s1.88 s
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    Fang Wang, Jichuan Xing. Novel Intelligent Long-Distance Optical Fiber Pre-Warning Algorithm[J]. Acta Optica Sinica, 2021, 41(7): 0706002

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Sep. 10, 2020

    Accepted: Nov. 17, 2020

    Published Online: Apr. 11, 2021

    The Author Email: Wang Fang (wolfehappy@163.com)

    DOI:10.3788/AOS202141.0706002

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