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11.发明申请公开(公告)号：US20220381607A1
公开(公告)日：2022-12-01
申请号：US17714091
申请日：2022-04-05
Applicant: NEC Laboratories America, Inc.
Inventor： Shaobo HAN , Yue TIAN , Sarper OZHARAR , Yangmin DING , Ting WANG
IPC: G01H9/00
Abstract: A testing procedure including a data collection procedure and a contrastive learning-based approach, for establishing a profile for utility poles surveyed in an embedding space. Unique properties of utility poles are preserved in a low-dimensional feature vector. Similarities between pairs of samples collected at the same or different poles is reflected by the Euclidean distance between the pole embeddings. During data collection—variabilities of excitation signals are manually introduced, e.g. impact strength, impact locations, impact time ambiguity, data collecting location ambiguity on a DFOS/DAS optical sensor fiber/cable. Data so collected provides a learned model learned complete information about a utility pole and is more robust with respect to uncontrollable factors during operation. A model training procedure that effectively extracts a utility pole intrinsic properties (e.g., structure integrity, dimensions, structure variety) and remote extrinsic influence (e.g., excitation strength, weather conditions, road traffic), without knowing the ground truth of these factors. The only identifying label required is an ID of any tested poles, which is readily available. The model is trained adaptively—end-to-end—is advantageously easy-to-implement on modern deep learning frameworks such as PyTorch.
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12.发明申请公开(公告)号：US20210318164A1
公开(公告)日：2021-10-14
申请号：US17227325
申请日：2021-04-11
Applicant: NEC Laboratories America, Inc.
Inventor： Sarper OZHARAR , Ting WANG
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously enable and/or facilitate the continuous, real-time monitoring and identification vehicle speed, vehicle direction, vehicle axle width, vehicle type, total number of vehicle axles, and vehicle count. The DFOS sensing fiber is advantageously positioned underneath a roadway/highway in a novel arrangement/layout and temporal measurements are made to provide vehicle identification.
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公开(公告)号：US20250130074A1
公开(公告)日：2025-04-24
申请号：US18901783
申请日：2024-09-30
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Sarper OZHARAR , Zhuocheng JIANG , Yue TIAN , Ting WANG
IPC: G01D5/353
Abstract: Disclosed are systems, methods, and structures that employ distributed fiber sensing that utilizes existing fiber cables for detecting tree events. Our inventive systems and methods can detect when a tree or other types of vibration occur on the telecom cable or poles, creating a high-resolution spatial profile of the cable. Systems and methods according to aspects of the present disclosure distinguish between tree events and other vibrations, such as hammer strikes on a utility pole, by employing Information Noise Contrastive Estimation (InfoNCE) and contrastive learning. Our inventive approach accurately differentiates between different types of vibrations and identifies patterns specific to tree events.
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公开(公告)号：US20240135797A1
公开(公告)日：2024-04-25
申请号：US18485217
申请日：2023-10-11
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Sarper OZHARAR , Yue TIAN , Ting WANG
Abstract: A data-driven street flood warning system that employs distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) and machine learning (ML) technologies and techniques to provide a prediction of street flood status along a telecommunications fiber optic cable route using the DFOS/DAS data and ML models. Operationally, a DFOS/DAS interrogator collects and transmits vibrational data resulting from rain events while an online web server provides a user interface for end-users. Two machine learning models are built respectively for rain intensity prediction and flood level prediction. The machine learning models serve as predictive models for rain intensity and flood levels based on data provided to them, which includes rain intensity, rain duration, and historical data on flood levels.
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15.发明公开公开(公告)号：US20230375375A1
公开(公告)日：2023-11-23
申请号：US18319466
申请日：2023-05-17
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Yue TIAN , Sarper OZHARAR , Ting WANG
CPC classification number: G01D5/35358 , G06T7/70 , G06T7/13 , G01H9/004 , G01L1/242 , G06T2207/10024
Abstract: A radio-controlled, two-way acoustic modem for operating with a distributed fiber optic sensing (DFOS) system including circuitry that receives radio signals including configuration information, configures the modem to operate according to the configuration information, and generate acoustic signals that are detected by the DFOS system. The acoustic modem includes one or more sensors that detect environmental information that is encoded in the acoustic signals for further reception by the DFOS system. The received configuration information may change the operating times, sensors or other operating aspects of the modem as desired an such information may be transmitted from a fixed location or a mobile vehicle.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20230125456A1
公开(公告)日：2023-04-27
申请号：US17968265
申请日：2022-10-18
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Yue TIAN , Sarper OZHARAR , Ting WANG
Abstract: Aspects of the present disclosure describe dynamic road traffic noise mapping using DFOS over a telecommunications network that enables mapping of road traffic-induced noise at any observer location. DFOS is used to obtain instant traffic data including vehicle speed, volume, and vehicle types, based on vibration and acoustic signal along the length of a sensing fiber along with location information. A sound pressure level at a point of interest is determined, and traffic data associated with such point is incorporated into a reference noise emission database and a wave propagation theory for total sound pressure level prediction and mapping. Real-time wind speed using DFOS—such as distributed acoustic sensing (DAS)—is obtained to provide sound pressure adjustment due to the wind speed.
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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
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.
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公开(公告)号：US20220329052A1
公开(公告)日：2022-10-13
申请号：US17717088
申请日：2022-04-10
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Sarper OZHARAR , Yuandu XU , Yue TIAN , Ting WANG
Abstract: Systems and methods for performing the dynamic anomaly localization of utility pole aerial/suspended/supported wires/cables by distributed fiber optic sensing. In sharp contrast to the prior art, our inventive systems and methods according to aspects of the present disclosure advantageously identify a “location region” on a utility pole supporting an affected wire/cable, thereby permitting the identification and reporting of service personnel that are uniquely responsible for responding to such anomalous condition(s).
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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
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.
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20.发明申请公开(公告)号：US20210318165A1
公开(公告)日：2021-10-14
申请号：US17227328
申请日：2021-04-11
Applicant: NEC Laboratories America, Inc.
Inventor： Sarper OZHARAR , Yue TIAN , Yangmin DING , Ting WANG
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS)-distributed acoustic sensing (DAS) based systems, methods, and structures that advantageously enable and/or facilitate the monitoring of civil infrastructures via acoustic wave speed measurements.
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