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    SMART OPTICAL CABLE POSITIONING/LOCATION USING OPTICAL FIBER SENSING
    24.
    发明申请
    SMART OPTICAL CABLE POSITIONING/LOCATION USING OPTICAL FIBER SENSING 审中-公开

    公开(公告)号：WO2020086636A1

    公开(公告)日：2020-04-30

    申请号：PCT/US2019/057514

    申请日：2019-10-23

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： HUANG, Ming-Fang ,  CHEN, Yuheng ,  WANG, Ting

    IPC: H04B10/07 ,  H04B10/071 ,  H04B10/25 ,  G01S19/01 ,  G01N29/14

    Abstract: Aspects of the present disclosure describe systems, methods and structures for determining any location on a deployed fiber cable from an optical time domain reflectometry (OTDR) curve using a movable mechanical vibration source to stimulate tiny vibration of fiber in deployed fiber cable along the cable route and a fiber sensing system at a central office to detect the vibration(s). Latitude and longitude of the location(s) of the vibration source is measured with a GPS device and a dynamic-OTDR distance is measured at central office (CO) simultaneously. The collected GPS location data and corresponding dynamic-OTDR distance data are paired and saved into a database. This saved data may be processed to graphically overlie a map thereby providing exact cable location on the map thereby providing carriers/service providers the ability to improve fiber fault location on a deployed fiber cable much faster and more accurately than presently possible using methods available in the art.

    THE ARCHITECTURE OF OPEN-FLOW BASED SOFTWARE-DEFINED OPTICAL LABEL SWAPPING
    25.
    发明申请
    THE ARCHITECTURE OF OPEN-FLOW BASED SOFTWARE-DEFINED OPTICAL LABEL SWAPPING 审中-公开
    基于开放式软件定义的光学标签交换的架构

    公开(公告)号：WO2015157599A1

    公开(公告)日：2015-10-15

    申请号：PCT/US2015/025244

    申请日：2015-04-10

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： HUANG, Ming-Fang

    IPC: H04Q11/00 ,  H04J14/02

    CPC classification number: H04J14/0212 ,  H04L45/62 ,  H04L45/64 ,  H04Q11/0066 ,  H04Q2011/0077

    Abstract: A method of optical label swapping implemented by a switch used in a software defined network system that in one embodiment includes proving a 400-Gbit/s payload having a Nyquist shaped carrier in a 75-Ghz bandwidth spacing using a payload generator module controlling at least one first optical laser, and inserting a first optical label adjacent to the payload flow in a remainder of a 100-Ghz bandwidth with a label generator controlling at least one second optical laser. The label generator and the payload generator are controlled by a software deinfed network (SDN). A package of the payload and the first optical label is transmitted to a receiving node. The optical label can be swapped at the receiving node with a flex grid wavelength selective switch (WSS) controlled by the software defined network.

    Abstract translation: 由在一个实施例中使用的软件定义网络系统中使用的交换机实现的光标签交换方法包括使用至少控制至少75Ghz带宽的有效载荷发生器模块来证明具有75Ghz带宽间隔的奈奎斯特形状载波的400Gbit / s有效载荷 一个第一光学激光器，并且在具有控制至少一个第二光学激光器的标签发生器的100Ghz带宽的剩余部分中插入与有效载荷流相邻的第一光学标签。 标签生成器和有效载荷发生器由软件定义网络（SDN）控制。 有效载荷和第一光学标签的包被发送到接收节点。 光纤标签可以通过软件定义的网络控制的柔性网格波长选择开关（WSS）在接收节点进行交换。

    AUTOMATIC FIBER END POINT DETECTION USING COHERENT OPTICAL TIME DOMAIN REFLECTOMETRY
    26.
    发明申请
    AUTOMATIC FIBER END POINT DETECTION USING COHERENT OPTICAL TIME DOMAIN REFLECTOMETRY 审中-公开

    公开(公告)号：WO2023091620A1

    公开(公告)日：2023-05-25

    申请号：PCT/US2022/050335

    申请日：2022-11-18

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： JI, Philip ,  HU, Junqiang ,  WANG, Ting ,  HUANG, Ming-Fang ,  CHEN, Yuheng

    IPC: G01M11/00 ,  G01H9/00 ,  G01D5/353

    Abstract: Disclosed are distributed fiber optic sensing arrangements that – in sharp contrast to the prior art - utilize C-OTDR capabilities to detect an optical fiber end point while still maintaining operational DFOS vibration/acoustic signal sensing functions. Advantageously, such operations are performed automatically without requiring a manual confirmation. A change is made in digital signal processing in the C-OTDR operation by bypassing a high-pass-filtering stage when calculating intensity changes such that the DC signal component is preserved and used to differentiate from a "no-fiber" section. It then calculates the no-fiber section's signal level and uses a back-tracking operation to determine the fiber end automatically.

    CONTEXT ENCODER-BASED FIBER SENSING ANOMALY DETECTION
    29.
    发明申请
    CONTEXT ENCODER-BASED FIBER SENSING ANOMALY DETECTION 审中-公开

    公开(公告)号：WO2022140487A1

    公开(公告)日：2022-06-30

    申请号：PCT/US2021/064755

    申请日：2021-12-21

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： HAN, Shaobo ,  HUANG, Ming-Fang ,  COSATTO, Eric

    IPC: G01H9/00 ,  G01D5/353 ,  G06N20/00

    Abstract: 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

    PERPENDICULAR DISTANCE PREDICTION OF VIBRATIONS BY DISTRIBUTED FIBER OPTIC SENSING
    30.
    发明申请
    PERPENDICULAR DISTANCE PREDICTION OF VIBRATIONS BY DISTRIBUTED FIBER OPTIC SENSING 审中-公开

    公开(公告)号：WO2022140485A1

    公开(公告)日：2022-06-30

    申请号：PCT/US2021/064753

    申请日：2021-12-21

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： SALEMI, Milad ,  HAN, Shaobo ,  HUANG, Ming-Fang ,  CHEN, Yuheng

    IPC: G01H9/00 ,  G01D5/353 ,  G08B21/18

    Abstract: Distributed fiber optic sensing (DFOS) systems, methods and structures for determining the proximity of vibration sources located perpendicular to a sensor fiber that is part of the DFOS system that may potentially threaten / damage or otherwise compromise the sensor fiber itself. Systems, methods, and structures according to aspects of the present disclosure employ Artificial Intelligence (AI) methodology(ies) that use as input a fundamental physical understanding of wave propagation and attenuation in the ground along with Bayesian inference and Maximum Likelihood Estimation (MLE) techniques for estimating / determining the proximity of potentially damaging vibration sources to the optical sensor fiber.

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