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    DISTRIBUTED OPTICAL FIBER SENSING FOR SMART CITY APPLICATIONS
    31.
    发明申请
    DISTRIBUTED OPTICAL FIBER SENSING FOR SMART CITY APPLICATIONS 审中-公开

    公开(公告)号：US20200319018A1

    公开(公告)日：2020-10-08

    申请号：US16839686

    申请日：2020-04-03

    Applicant: NEC Laboratories America, Inc.

    Inventor： Ming-Fang HUANG ,  Ting WANG

    IPC: G01H9/00 ,  G01K11/32 ,  H04W4/70 ,  G06Q50/26

    Abstract: Aspects of the present disclosure describe distributed optical fiber sensing for smart city applications in which distributed optical fiber sensing is integrated with a surveillance system into a single system such that the distributed sensing system may detect an event of interest and the surveillance system including cameras may be reoriented in response to verify and/or examine and/or acquire video of the event. Of particular advantage such distributed fiber sensing may include distributed acoustic sensing (DAS) for vibrational sensing and distributed temperature sensing (DTS) for temperature sensing. The integrated system employs shared optical fiber transport for the distributed sensing and the surveillance.

    OPTICAL FIBER SENSING FOR HIGHWAY MAINTENANCE
    34.
    发明申请
    OPTICAL FIBER SENSING FOR HIGHWAY MAINTENANCE 审中-公开

    公开(公告)号：US20200003588A1

    公开(公告)日：2020-01-02

    申请号：US16454053

    申请日：2019-06-27

    Applicant: NEC Laboratories America, Inc.

    Inventor： Ming-Fang HUANG ,  Ting WANG

    IPC: G01D5/26 ,  G01N33/42 ,  G06N3/08

    Abstract: Aspects of the present disclosure describe systems, methods and structures employing optical fiber sensing to monitor highway/roadway/street conditions (i.e., potholes, pavement cracks, etc.) in real-time, continuously, and while the highway/roadway/street remains in operation (in-service monitoring). Systems, methods, and structures according to aspects of the present disclosure may employ machine learning (ML) algorithms including neural networks to provide and or report on highway conditions so monitored/sensed. Of further advantage, systems, methods, and structures for optical fiber sensing for highway maintenance may operate in real-time, continuously, long-term, in-service, and may employ existing telecommunications optical cables without additional deployment cost(s) or disruption of telecommunications traffic.

    HIGH RESOLUTION 2D INDOOR LOCALIZATION WITH FIBER OPTIC SENSOR
    36.
    发明公开
    HIGH RESOLUTION 2D INDOOR LOCALIZATION WITH FIBER OPTIC SENSOR 审中-公开

    公开(公告)号：US20230375376A1

    公开(公告)日：2023-11-23

    申请号：US18319469

    申请日：2023-05-17

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yueheng CHEN ,  Ming-Fang HUANG

    IPC: G01D5/353 ,  G01H9/00

    CPC classification number: G01D5/35358 ,  G01H9/004

    Abstract: A distributed fiber optic sensing (DFOS) system including a smart-mat that: 1) identifies indoor locations of moving persons/objects; 2) provides a 2D visual mapping; and 3) covers any blind spots with supplemental technologies including LiDAR, RF radar, etc. The DFOS system with smart-mat may be deployed virtually anywhere indoors and may even be constructed to replace carpeting. When our inventive DFOS system and smart-mat is deployed throughout an entire building, building safety and security is greatly improved by providing up-to-date localization information of building occupants while eliminating blind zones and reducing maintenance costs.

    Perpendicular Distance Prediction of Vibrations by Distributed Fiber Optic Sensing
    39.
    发明申请
    Perpendicular Distance Prediction of Vibrations by Distributed Fiber Optic Sensing 有权

    公开(公告)号：US20220196462A1

    公开(公告)日：2022-06-23

    申请号：US17555990

    申请日：2021-12-20

    Applicant: NEC Laboratories America, Inc.

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

    IPC: G01H9/00 ,  G06N7/00 ,  G06V10/28 ,  G06V10/44

    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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