DATA-DRIVEN STREET FLOOD WARNING SYSTEM
    21.
    发明公开

    公开(公告)号:US20240135797A1

    公开(公告)日:2024-04-25

    申请号:US18485217

    申请日:2023-10-11

    CPC classification number: G08B21/10 G01W1/14

    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.

    DYNAMIC ROAD TRAFFIC NOISE MAPPING USING DISTRIBUTED FIBER OPTIC SENSING (DFOS) OVER TELECOM NETWORK

    公开(公告)号:US20230125456A1

    公开(公告)日:2023-04-27

    申请号:US17968265

    申请日:2022-10-18

    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.

    Utility Pole Hazardous Event Localization

    公开(公告)号:US20220329068A1

    公开(公告)日:2022-10-13

    申请号:US17717112

    申请日:2022-04-10

    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.

    DYNAMIC ANOMALY LOCALIZATION OF UTILITY POLE WIRES

    公开(公告)号:US20220329052A1

    公开(公告)日:2022-10-13

    申请号:US17717088

    申请日:2022-04-10

    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).

    RANGE AND CAPABILITY EXTENDING DEVICE FOR PERIMETER INTRUSION DETECTION

    公开(公告)号:US20240127681A1

    公开(公告)日:2024-04-18

    申请号:US18485211

    申请日:2023-10-11

    CPC classification number: G08B13/00 G01V1/001 G01V1/226

    Abstract: A solar powered, self-contained DFOS extender that includes a wide-angle camera and a microphone. The DFOS extender monitors the perimeter constantly or at predetermined time intervals both visually and acoustically. It analyses these signals and if an alarming event is detected (such as an animal, a human, a car, or a truck seen or heard), then the DFOS extender generates a coded vibration via its in-built acoustic modem. These coded vibrations are detected by the fiber and an event log is generated. Consequently, a trespasser or false alarms (animals) are detected before they are within detectable distance of the underground DFOS optical sensor fiber. Advantageously, our DFOS extender can be placed in critical locations along a border where an increased detection range is desired and may later be relocated/reinstalled at other locations as well.

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