BOUNDARY TRAVERSAL SENSING APPARATUS AND SYSTEM COMPRISING SAME

    公开(公告)号:US20240310538A1

    公开(公告)日:2024-09-19

    申请号:US18183671

    申请日:2023-03-14

    发明人: David Verl Brower

    IPC分类号: G01V1/22 G01V1/00

    CPC分类号: G01V1/226 G01V1/001

    摘要: Disclosed herein are systems and methods configured to produce and monitor signals that characterize activities corresponding to intruders (e.g., persons and/or animals) traversing a boundary that at least partially defines a designated area. Such activities can characterize one or more persons traversing a boundary or attempting to traverse a barrier that defines the boundary. Sensors within a substrate that extends along the boundary can be used for producing such signals. The substrate can be soil of which ground at the boundary is comprised, a manmade material located within such soil or a material from which a barrier along the boundary is constructed. The sensors can be fiber optic sensors that extend contiguously along a length of the boundary and/or can be fiber optic sensors that are located at discrete locations along the length of the boundary. The signals can cause one or more responsive actions to be implemented.

    SPATIOTEMPORAL AND SPECTRAL CLASSIFICATION OF ACOUSTIC SIGNALS FOR VEHICLE EVENT DETECTION OVER DEPLOYED FIBER NETWORKS

    公开(公告)号:US20240241275A1

    公开(公告)日:2024-07-18

    申请号:US18414419

    申请日:2024-01-16

    摘要: Disclosed are machine learning (ML) based Distributed Fiber Optic Sensing (DFOS) systems, methods, and structures for Sonic Alert Pattern (SNAP) event detection performed in real time including an intelligent SNAP informatic system in conjunction with DFOS/Distributed Acoustic Sensing (DAS) and machine learning technologies that utilize SNAP vibration signals as an indicator. Without installation of additional sensors, vibration signals indicative of SNAP events are detected along a length of an existing optical fiber through DAS. Raw DFOS data is utilized—and not DFOS waterfall data—resulting in faster and more accurate information derivation as rich, time-frequency information in the raw DFOS/DAS waveform data is preserved. A deep learning module Temporal Relation Network (TRN) that accurately detects SNAP events from among chaotic signals of normal traffic is employed, making it reliable when applied to busy roads with dense traffic and vehicles of different speed.

    METHOD AND DEVICE FOR CALIBRATING DEPTH OF OPTICAL FIBRE IN WELL

    公开(公告)号:US20240201415A1

    公开(公告)日:2024-06-20

    申请号:US18287216

    申请日:2022-06-30

    摘要: Disclosed are an improved method and device for calibrating the depth of an optical fibre in a well. The method includes acquiring borehole seismic wave field data based on an optical fibre acoustic wave sensor; determining first arrival time information based on the borehole seismic wave field data; determining a downgoing wave first arrival amplitude based on the first arrival time information and the borehole seismic wave field data; determining an optical fibre amplitude feature point based on the downgoing wave first arrival amplitude; determining a wellhead initial position and a receiving point spacing of the optical fibre in the well based on the optical fibre amplitude feature point and logging curve feature points; and determining depth calibration information of the optical fibre in the well based on the wellhead initial position and the receiving point spacing.

    WIND DETECTION METHOD AND SYSTEM
    4.
    发明公开

    公开(公告)号:US20240184006A1

    公开(公告)日:2024-06-06

    申请号:US18065192

    申请日:2022-12-13

    摘要: Methods, systems, and techniques for wind detection. A first acoustic signal generated by an acoustic sensor positioned to be actuated in response to wind is measured. An average value of the first acoustic signal over a sampling duration is determined. The average value may be a median, and the sampling duration may be at least 15 minutes. If the average value of the first acoustic signal satisfies a wind detection threshold, the first acoustic signal is determined to be generated by the wind.

    Systems for Short-Term Prediction of Earthquake Parameters Using Ionospheric Precursors

    公开(公告)号:US20240159928A1

    公开(公告)日:2024-05-16

    申请号:US18513937

    申请日:2023-11-20

    申请人: IONOTERRA Ltd.

    发明人: Nathan Blaunstein

    IPC分类号: G01V1/01 G01V1/22 G01V1/30

    摘要: A method of predicting parameters of an earthquake uses an array of ionosondes to scan an observed volume of an ionosphere located above a seismically active zone. The method includes monitoring ionograms provided by the array of ionosondes; detecting the presence of at least one seismic-induced irregularity (SII); determining a first predicted parameter corresponding to an epicenter location; and determining one or more predicted parameters selected from a group consisting of a magnitude, a time of occurrence, and a hypocenter depth. Algorithms for calculating the predicted parameters are presented in detail.

    ENVIRONMENT INFORMATION ACQUISITION APPARATUS, ENVIRONMENT INFORMATION ACQUISITION METHOD, AND COMPUTER-READABLE MEDIUM

    公开(公告)号:US20240142647A1

    公开(公告)日:2024-05-02

    申请号:US18280196

    申请日:2021-03-05

    申请人: NEC Corporation

    发明人: Yutaka Yano

    IPC分类号: G01V1/28 G01V1/22

    CPC分类号: G01V1/288 G01V1/226

    摘要: An environment information acquisition apparatus (400) according to the present disclosure includes an information acquisition unit (410) configured to receive, from an optical fiber (500), an optical signal including a pattern in accordance with environment information applied to the optical fiber (500) and acquire the environment information based on the optical signal; an information provision unit (430) configured to output measurement data representing the environment information to outside; and a detection unit (420) configured to detect vibration or sound applied to the information acquisition unit (410).

    METHOD AND APPARATUS OF DISTRIBUTED ACOUSTIC SENSING

    公开(公告)号:US20240134076A1

    公开(公告)日:2024-04-25

    申请号:US18390981

    申请日:2023-12-20

    申请人: EXFO Inc.

    IPC分类号: G01V1/22 G01V1/00

    CPC分类号: G01V1/226 G01V1/001

    摘要: There is provided a method and an apparatus of fiber optic distributed acoustic sensing (DAS) which use a simple, reliable and robust signal processing for amplitude-based DAS measurements. 1) The lack of linearity of the amplitude-based DAS measurements (due to its unpredictable variation of the transfer function along the fiber) can be improved by normalizing the amplitude vs distance using an amplitude-normalization trace obtained from either a) coherent laser OTDR measurements with laser frequency dithering or b) computing a normalization trace from the coherent OTDR/DAS traces and the un-coherent OTDR/DAS traces. 2) Instrument offset (e.g., due to low vertical sampling resolution) may further be corrected using un-coherent OTDR/DAS traces to extract an instrument system offset.