Field Trials of Manhole Localization and Condition Diagnostics by Using Ambient Noise and Temperature Data with AI in a Real-Time Integrated Fiber Sensing System

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Publication Date: 4/3/2025

Event: OFC 2025

Reference: M1C.1: 1-3, 2025

Authors: Ming-Fang Huang, NEC Laboratories America, Inc.; Shaobo Han, NEC Laboratories America, Inc.; Yaowen Li, NEC Laboratories America, Inc.; Glenn A. Wellbrock, Verizon; Tiejun J. Xia, Verizon; Scott Kotria, Verizon; James M. Moore, Verizon; Philip Ji, NEC Laboratories America, Inc.; Tingfeng Li, NEC Laboratories America, Inc.; Yuheng Chen, NEC Laboratories America, Inc.; Ting Wang, NEC Laboratories America, Inc.; Yoshiaki Aono, NEC Corporation

Abstract: Field trials of ambient noise-based automated methods for manhole localization and condition diagnostics using a real-time DAS/DTS integrated system were conducted. Crossreferencingmultiple sensing data resulted in a 94.7% detection rate and enhanced anomaly identification.

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