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公开(公告)号：US20240102833A1
公开(公告)日：2024-03-28
申请号：US18367593
申请日：2023-09-13
Applicant: NEC Laboratories America, Inc.
Inventor： Shaobo HAN , Yuheng CHEN , Ming-Fang HUANG , Ting WANG , Alexander BUKHARIN
IPC: G01D5/353
CPC classification number: G01D5/35361
Abstract: A DFOS system and machine learning method that automatically localizes manholes, which forms a key step in a fiber optic cable mapping process. Our system and method utilize weakly supervised learning techniques to predict manhole locations based on ambient data captured along the fiber optic cable route. To improve any non-informative ambient data, we employ data selection and label assignment strategies and verify their effectiveness extensively in a variety of settings, including data efficiency and generalizability to different fiber optic cable routes. We describe post-processing steps that bridge the gap between classification and localization and combining results from multiple predictions.
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2.发明公开公开(公告)号：US20230152543A1
公开(公告)日：2023-05-18
申请号：US17988643
申请日：2022-11-16
Applicant: NEC Laboratories America, Inc.
Inventor： Shaobo HAN , Ming-Fang HUANG , Yuheng CHEN
IPC: G02B6/44
Abstract: Disclosed are buried cable protection systems and methods that employ impulse signal detection by optical fiber sensing technologies, and which provide such protection automatically and in real-time. The methods theoretically model a time difference of arrival (TDoA) of an impulse wave travelling to a DFOS sensor fiber cable. A model employing a set of propagation relationships that account for vague knowledge about wave propagation speed and threat range(s) is fitted with parameters based on a numerical simulation—without specific knowledge of a source of vibration. As compared to vibration magnitude information, time of arrival (ToA) information is more consistent and less sensitive to ambiguities and inaccuracies. In addition, the model parameter can be adjusted adaptively when temporal resolution of the sensor changes or fluctuates. As a result, our inventive systems and methods effectively detect impulse signals from machines or other activities generating vibratory impulse ground events at different distances to a fiber optic cable and distinguish same from background noises including those caused by transportation modes such as train or vehicular traffic.
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公开(公告)号：US20220228948A1
公开(公告)日：2022-07-21
申请号：US17579511
申请日：2022-01-19
Applicant: NEC Laboratories America, Inc.
Inventor： Ming-Fang HUANG , Ting WANG
IPC: G01M11/00 , H04B10/071
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously extend DFOS techniques to anomaly detection using optical magnetism switches (OMC) that are integrated into the DFOS system.
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公开(公告)号：US20220196464A1
公开(公告)日：2022-06-23
申请号：US17556939
申请日：2021-12-20
Applicant: NEC Laboratories America, Inc.
Inventor： Shaobo HAN , Ming-Fang HUANG , Eric COSATTO
IPC: G01H9/00 , H04B10/071
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.
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公开(公告)号：US20220196463A1
公开(公告)日：2022-06-23
申请号：US17556928
申请日：2021-12-20
Applicant: NEC Laboratories America, Inc.
Inventor： Shaobo HAN , Yuheng CHEN , Ming-Fang HUANG , Tingfeng LI
Abstract: A fiber optic sensing technology for vehicle run-off-road incident automatic detection by an indicator of sonic alert pattern (SNAP) vibration patterns. A machine learning method is employed and trained and evaluated against a variety of heterogeneous factors using controlled experiments, demonstrating applicability for future field deployment. Extracted events resulting from operation of our system may be advantageously incorporated into existing management systems for intelligent transportation and smart city applications, facilitating real-time alleviation of traffic congestion and/or providing a quick response rescue and clearance operation.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20240249614A1
公开(公告)日：2024-07-25
申请号：US18417769
申请日：2024-01-19
Applicant: NEC Laboratories America, Inc.
Inventor： Shaobo HAN , Yuheng CHEN , Ming-Fang HUANG , Tingfeng LI , Ting WANG
IPC: G08G1/01
CPC classification number: G08G1/0116 , G08G1/0112
Abstract: Disclosed are vehicle-infrastructure interaction systems and methods employing a distributed fiber optic sensing (DFOS) system operating with pre-deployed fiber-optic telecommunication cables buried alongside/proximate to highways/roadways which provide 24/7 continuous information stream of vehicle traffic at multiple sites; only require a single optical sensor cable that senses/monitors multiple locations of interest and multiple lanes of traffic; the single optical sensor cable measures multiple related information (multi-parameters) about a vehicle, including driving speed, wheelbase, number of axles, tire pressure, and others, that can be used to derive secondary information such as weight-in-motion; and overall information about a fleet of vehicles, such as traffic congestion or traffic-cargo volume. Different from merely traffic counts, our approach can provide the count grouped by vehicle-types and cargo weights. Precise measurements are facilitated by high temporal sampling rates of the distributed acoustic sensing and a dedicated peak finding algorithm for extracting the timing information reliably.
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7.发明公开公开(公告)号：US20240248228A1
公开(公告)日：2024-07-25
申请号：US18417812
申请日：2024-01-19
Applicant: NEC Laboratories America, Inc.
Inventor： Ming-Fang HUANG , Milad SALEMI
CPC classification number: G01V1/307 , G01V1/226 , G01V1/288 , G01V2210/43 , G01V2210/65 , G01V2210/72
Abstract: Disclosed are systems and methods that estimate machine distance to an optical fiber cable from sensing data collected using distributed fiber optic sensing (DFOS). Specialized hardware, DFOS that uses optical sensor fiber as a continuous spatial sensor along with a real time Artificial Intelligence (AI) processing unit, that detects threats within a proximity of buried fiber optic cable and a determines a moving direction of the threats such that it can effectively mitigate and contain the threats before damage to the buried fiber optic cable occurs. Advantageously, the system according to the present disclosure does not require any prior location knowledge or surveying prior to performing its monitoring.
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公开(公告)号：US20230152152A1
公开(公告)日：2023-05-18
申请号：US17989589
申请日：2022-11-17
Applicant: NEC Laboratories America, Inc.
Inventor： Philip JI , Junqiang HU , Ting WANG , Ming-Fang HUANG , Yuheng CHEN
IPC: G01H9/00 , H04B10/071 , G01D5/353
CPC classification number: G01H9/006 , H04B10/071 , G01D5/35361
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.
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公开(公告)号：US20230152130A1
公开(公告)日：2023-05-18
申请号：US17987805
申请日：2022-11-15
Applicant: NEC Laboratories America, Inc.
Inventor： Ming-Fang HUANG , Philip JI , Shaobo HAN , Ting WANG
CPC classification number: G01D5/35358 , G01H9/004
Abstract: Systems, methods, and structures for efficiently identifying individual fibers located in a deployed cable that advantageously reduces laborious field efforts while reducing service outage time. The systems and methods locate a targeted fiber in a cable (“Cable ID”) and then identify the targeted fiber (“Fiber ID”) by detecting DFOS signal attentions—without cutting the optical fiber. Two distinct determinations may be made namely, Cable ID and Fiber ID. DFOS operation detects vibration signals occurring along a sensor fiber. As implemented, Cable ID is an interactive-machine learning-based algorithm that automatically locates cable position along a sensor fiber route. Fiber ID detects a signal attenuation by bending a group of fibers with bifurcation to pinpoint a targeted individual fiber within a fiber cable.
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公开(公告)号：US20230027287A1
公开(公告)日：2023-01-26
申请号：US17869763
申请日：2022-07-20
Applicant: NEC Laboratories America, Inc.
Inventor： Ming-Fang HUANG , Shaobo HAN , Yuheng CHEN , Milad SALEMI , Ting WANG
Abstract: 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.
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