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    Fiber sensing using supervisory path of submarine cables
    3.
    发明授权
    Fiber sensing using supervisory path of submarine cables 有权

    公开(公告)号：US12078528B2

    公开(公告)日：2024-09-03

    申请号：US17869763

    申请日：2022-07-20

    申请人： NEC Laboratories America, Inc.

    发明人： Ming-Fang Huang ,  Shaobo Han ,  Yuheng Chen ,  Milad Salemi ,  Ting Wang

    IPC分类号： G01H9/00 ,  G01D5/353

    CPC分类号： G01H9/004 ,  G01D5/35361

    摘要： Systems, and methods for automatically identifying an underground optical fiber cable length from DFOS systems in real time and pair it with GPS coordinates that advantageously eliminate the need for in-field inspection/work by service personnel to make such real-time distance/location determinations. As such, inefficient, error-prone and labor-intensive prior art methods are rendered obsolete. Operationally, our method disclosure involves driving vehicles including GPS to generate traffic patterns and automatically mapping traffic trajectory signals from a deployed buried fiber optic cable to locate geographic location(s) of the buried fiber optic cable. Traffic patterns are automatically recognized; slack in the fiber optic cable is accounted for; location of traffic lights and other traffic control devices/structures may be determined; and turns in the fiber optic cable may likewise be determined.

    Contrastive learning of utility pole representations from distributed acoustic sensing signals
    6.
    发明授权
    Contrastive learning of utility pole representations from distributed acoustic sensing signals 有权

    公开(公告)号：US11698290B2

    公开(公告)日：2023-07-11

    申请号：US17714091

    申请日：2022-04-05

    申请人： NEC Laboratories America, Inc.

    发明人： Shaobo Han ,  Yue Tian ,  Sarper Ozharar ,  Yangmin Ding ,  Ting Wang

    IPC分类号： G01H9/00

    CPC分类号： G01H9/004

    摘要： Systems and methods for operating a distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) system include a length of optical sensing fiber suspended aerially by a plurality of utility poles and in optical communication with a DFOS interrogator/analyzer. The method includes operating the DFOS/DAS system while manually exciting more than one of the poles to obtain frequency response(s) of the excited poles; contrastively training a convolutional neural network (CNN) with the frequency responses obtained; classifying the utility poles using the contrastively trained CNN; and generating a profile map of the excited poles indicative of the classified utility poles.

    Context encoder-based fiber sensing anomaly detection
    9.
    发明授权
    Context encoder-based fiber sensing anomaly detection 有权

    公开(公告)号：US11733089B2

    公开(公告)日：2023-08-22

    申请号：US17556939

    申请日：2021-12-20

    申请人： NEC Laboratories America, Inc.

    发明人： Shaobo Han ,  Ming-Fang Huang ,  Eric Cosatto

    IPC分类号： G01H9/00 ,  H04B10/071

    CPC分类号： G01H9/004 ,  H04B10/071

    摘要： Aspects of the present disclosure describe an unsupervised context encoder-based fiber sensing method that detects anomalous vibrations proximate to a sensor fiber that is part of a distributed fiber optic sensing system (DFOS) such that damage to the sensor fiber by activities producing and anomalous vibrations are preventable. Advantageously, our method requires only normal data streams and a machine learning based operation is utilized to analyze the sensing data and report abnormal events related to construction or other fiber-threatening activities in real-time. Our machine learning algorithm is based on waterfall image inpainting by context encoder and is self-trained in an end-to-end manner and extended every time the DFOS sensor fiber is optically connected to a new route. Accordingly, our inventive method and system it is much easier to deploy as compared to supervised methods of the prior art.