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1.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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公开(公告)号：US20240125954A1
公开(公告)日：2024-04-18
申请号：US18485240
申请日：2023-10-11
Applicant: NEC Laboratories America, Inc.
Inventor： Zhuocheng JIANG , Yue TIAN , Yangmin DING , Sarper OZHARAR , Ting WANG
CPC classification number: G01V1/001 , G01V1/226 , G01V1/325 , G01V2210/43
Abstract: Systems and methods for utility pole localization employing a DFOS/DAS interrogator located at one end of an optical sensor fiber remotely capture dynamic strains on the optical sensor fiber induced by acoustic events. A captured two-dimensional spatiotemporal map in an ambient noisy environment is analyzed by a trained machine learning model which then automatically detects an area in which a pole is located without requiring domain knowledge. Original DFOS/DAS signals are separated into pole regions and non-pole region time series for machine learning model training. A contrastive loss function measures similarities between low-frequency and high-frequency features. A Gaussian distribution is applied to the original signals to generate weighted labels to eliminate effects of label noise. The machine learning model fuses low-frequency and high-frequency features in the frequency domain for pole region classification. A contrastive loss is combined with cross entropy loss to measure a low-high frequency feature distance.
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公开(公告)号：US20230370171A1
公开(公告)日：2023-11-16
申请号：US18317033
申请日：2023-05-12
Applicant: NEC Laboratories America, Inc.
Inventor： Sarper OZHARAR , Ting WANG
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. The acoustic modem may include several vibrator elements that provide a spatially multiplexed vibration signal imparted on the DFOS system fiber sensor.
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4.发明公开公开(公告)号：US20230266196A1
公开(公告)日：2023-08-24
申请号：US18113023
申请日：2023-02-22
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Yue TIAN , Sarper OZHARAR , Ting WANG
IPC: G01M5/00
CPC classification number: G01M5/0033 , G01M5/0025 , G01M5/0066
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) systems, methods, and structures that employ machine learning and provide for the automatic remote inspection and condition evaluation of wooden utility poles. Operationally, audio (acoustic) signals are obtained using DFOS/DAS when a service technician/inspector strikes the wooden utility poles with an impact tool such as a hammer. Historical audio DFOS/DAS signals that include signals resulting from hollow (decayed) utility poles and solid (good) poles are used to train one or more machine learning models and the trained machine learning models are subsequently used to evaluate real-time impact data collected from DFOS/DAS and determine utility pole condition in real-time.
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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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Patent Agency Ranking
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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7.发明申请公开(公告)号：US20230125375A1
公开(公告)日：2023-04-27
申请号：US17966869
申请日：2022-10-16
Applicant: NEC Laboratories America, Inc.
IPC: G01L1/24 , G01K11/3206
Abstract: Aspects of the present disclosure describe Rayleigh-based DTSS that utilizes few-mode fiber (FMF), which supports multiple spatial modes. For each spatial mode, a wavelength-scanning configuration gives the relative wavelength (or frequency) shift between two consecutive measurements. The temperature and strain changes can therefore be separated through different temperature/strain sensitivities of various mode-pairs. Advantageously, Rayleigh-based DTSS according to aspects of the present disclosure removes temperature-strain ambiguity, enhances measurement accuracy, reduces errors. and enables new features for multi-parameter sensing.
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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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9.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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10.发明申请公开(公告)号：US20220196461A1
公开(公告)日：2022-06-23
申请号：US17555924
申请日：2021-12-20
Applicant: NEC Laboratories America, Inc.
Inventor： Junqiang Nochur HU , Ting WANG , Shuji MURAKAMI
IPC: G01H9/00
Abstract: An advance in the art is made according to aspects of the present disclosure directed to a DAS method that utilizes a differential phase to detect phase change(s) between two locations of a DAS sensing fiber to ascertain vibrational/acoustic activities/environment at intermediary fiber location(s) between the two locations. Additionally, systems, methods, and structures according to aspects of the present disclosure may employ a fiber coil comprising a segment of fiber wrapped in acoustic sensitive material (“acoustic signal collector”). The material responds to an environmental acoustic signal, which results in strain(s) applied to the fiber. Furthermore, rather than using a measured phase difference between the two ends of the fiber coil, systems, methods, and structures according to aspects of the present disclosure utilize all samples collected from one end of the fiber coil to the other end of the fiber coil (the left side of the coil to the right side of the coil)—which may be extended further. Every two samples covering a partial or an entire section of the fiber coil are used as a pair (a “differential pair”) to determine a phase difference and the results from all the pairs are averaged to form one output exhibiting a reduced noise level and more stable signal as compared to prior art methods.
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