公开(公告)号：US20220329068A1

公开(公告)日：2022-10-13

申请号：US17717112

申请日：2022-04-10

Applicant: NEC Laboratories America, Inc.

Inventor： Yangmin DING ,  Yuanda XU ,  Yue TIAN ,  Sarper OZHARAR ,  Ting WANG

IPC: H02J3/00 ,  G01H9/00 ,  G01D5/353

Abstract: Distributed fiber optic sensing (DFOS) and artificial intelligence (AI) systems and methods for performing utility pole hazardous event localization that advantageously identify a utility pole that has undergone a hazardous event such as being struck by an automobile or other detectable impact. Systems and methods according to aspects of the present disclosure employ machine learning methodologies to uniquely identify an affected utility pole from a plurality of poles. Our systems and methods collect data using DFOS techniques in telecommunication fiber optic cable and use an AI engine to analyze the data collected for the event identification. The AI engine recognizes different vibration patterns when an event happens and advantageously localizes the event to a specific pole and location on the pole with high accuracy. The AI engine enables analyses of events in real-time with greater than 90% accuracy.

公开(公告)号：US20220283001A1

公开(公告)日：2022-09-08

申请号：US17684348

申请日：2022-03-01

Applicant: NEC LABORATORIES AMERICA, INC

Inventor： Yangmin DING ,  Sarper OZHARAR ,  Yue TIAN ,  Ting WANG ,  Yuanda XU

IPC: G01D5/353 ,  G01H9/00

Abstract: Distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) techniques coupled with frequency domain decomposition (FDD) are employed to determine the presence of 120 HZ operating power frequency to determine when street lights are energized and on thereby providing continuous status monitoring of the operational status of street lights and locating affected street lights at a particular utility pole location.

公开(公告)号：US20230366725A1

公开(公告)日：2023-11-16

申请号：US18316199

申请日：2023-05-11

Applicant: NEC Laboratories America, Inc.

Inventor： Yue TIAN ,  Yangmin DING ,  Sarper OZHARAR ,  Shaobo HAN ,  Ting WANG ,  Jiatong LI ,  Zuocheng JIANG ,  Yuanda XU

IPC: G01H9/00 ,  G06N20/00

CPC classification number: G01H9/004 ,  G06N20/00

Abstract: A distributed fiber optic sensing (DFOS) / distributed acoustic sensing (DAS) system and method employing a fiber optic sensor cable that collects vibrational data of individual utility poles suspending the fiber optic sensor cable and stores the vibrational data in a central office (CO). Machine learning (ML) models are developed, trained, and utilized to analyze vibrational features of the utility poles and determine their integrity. Additionally, DFOS / DAS systems and methods according to the present disclosure determine the location(s) of fiber coils that exist along a length of a fiber optic sensor cable.

公开(公告)号：US20230366703A1

公开(公告)日：2023-11-16

申请号：US18316208

申请日：2023-05-11

Applicant: NEC Laboratories America, Inc.

Inventor： Yue TIAN ,  Yangmin DING ,  Sarper OZHARAR ,  Shaobo HAN ,  Ting WANG ,  Jiatong LI ,  Zuocheng JIANG ,  Yuanda XU

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

CPC classification number: G01D5/35358 ,  G01H9/004 ,  G06N20/00

Abstract: A distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) system and method employing a fiber optic sensor cable that collects vibrational data of individual utility poles suspending the fiber optic sensor cable and stores the vibrational data in a central office (CO). Machine learning (ML) models are developed, trained, and utilized to analyze vibrational features of the utility poles and determine their integrity. Additionally, DFOS/DAS systems and methods according to the present disclosure determine the location(s) of fiber coils that exist along a length of a fiber optic sensor cable.