CONDITIONAL ACOUSTIC LIBRARY GENERATION FOR DISTRIBUTED FIBER OPTIC SENSOR

    公开(公告)号:US20250148294A1

    公开(公告)日:2025-05-08

    申请号:US18922807

    申请日:2024-10-22

    Abstract: Systems and methods include calibrating physical parameters of acoustic data using a deterministic model related to hardware configurations that generated the acoustic data to provide an intermediate layer of data. The intermediate layer of data is then calibrated using environmental factors related to the acoustic data by employing machine learning to provide a multichannel data output. A loss is optimized between the multichannel data output and multichannel distributed-optic fiber sensing (DFOS) data to train a hybrid transfer model to translate between DFOS data and acoustic data.

    LINEAR ACOUSTIC SENSING WITH A FLEXIBLE ARRAY

    公开(公告)号:US20250146863A1

    公开(公告)日:2025-05-08

    申请号:US18930454

    申请日:2024-10-29

    Abstract: Methods and systems for acoustic sensing include determining sensing locations along a fiber to generate a beam pattern that is directed to an acoustic source. An optical pulse is transmitted on the fiber. Optical phase of backscattering light is measured from the sensing locations on the fiber. An output signal is generated by combining the measured optical phase according to the beam pattern.

    CABLE NETWORK INSPECTION USING OPTICAL FIBER SENSING

    公开(公告)号:US20250146862A1

    公开(公告)日:2025-05-08

    申请号:US18924340

    申请日:2024-10-23

    Abstract: Systems and methods for cable inspection using optical fiber sensing includes a hardware processor and a memory storing a computer program which, when executed by the hardware processor, causes the hardware processor to collect data from a fiber optic cable and analyze the data with a distributed fiber optic sensing (DFOS) system. Losses and anomalies and their locations are identified in the cable. An alert is generated based on the losses and anomalies.

    Fiber sensing on roadside applications

    公开(公告)号:US12154007B2

    公开(公告)日:2024-11-26

    申请号:US16229676

    申请日:2018-12-21

    Abstract: A fiber-based roadside condition sensing system is provided. The system includes a fiber optic cable arranged in various roadside locations for Distributed Vibration Sensing (DVS) and Distributed Acoustic Sensing (DAS) at the various roadside locations. The system further includes a machine-learning-based analyzer for selectively providing any of an early warning and a prevention of various detected conditions responsive to a machine-learning-based analysis of results from the DVS and the DAS.

    Intent-based network computing job assignment

    公开(公告)号:US12047242B2

    公开(公告)日:2024-07-23

    申请号:US18481988

    申请日:2023-10-05

    CPC classification number: H04L41/0896 H04L41/122

    Abstract: Described is a novel framework, we call intent-based computing jobs assignment framework, for efficiently accommodating a clients' computing job requests in a mobile edge computing infrastructure. We define the intent-based computing job assignment problem, which jointly optimizes the virtual topology design and virtual topology mapping with the objective of minimizing the total bandwidth consumption. We use the Integer Linear Programming (ILP) technique to formulate this problem, and to facilitate the optimal solution. In addition, we employ a novel and efficient heuristic algorithm, called modified Steiner tree-based (MST-based) heuristic, which coordinately determines the virtual topology design and the virtual topology mapping. Comprehensive simulations to evaluate the performance of our solutions show that the MST-based heuristic can achieve an efficient performance that is close to the optimal performance obtained by the ILP solution.

    FAST OPTICAL CABLE IDENTIFICATION USING ACOUSTIC PEN

    公开(公告)号:US20240235668A1

    公开(公告)日:2024-07-11

    申请号:US18485198

    申请日:2023-10-11

    CPC classification number: H04B10/073 G01H9/004

    Abstract: A fast optical fiber identification system and method employing an acoustic pen that is connected to a portable device (such as a laptop, a smartphone, an iPad). The pen generates acoustic signals under the control of the portable device. The portable device interacts with a DFOS (Distributed Fiber Optic Sensor, e.g., a DAS or DVS) interrogator to notify the interrogator about the generated signals and receives a detection result from the interrogator. The result is either illustrated using a graph on the portable device, or as a tone of different volume, to indicate the strength of the pen's signal detected by the interrogator. As the pen touches/excites vibrationally/acoustically each of the fibers, the portable device notifies the user about the detected signal's strength or presence/no-presence, which allows a technician to quickly identify the fiber of interest.

    Distributed fiber optic sensor placement

    公开(公告)号:US12028110B2

    公开(公告)日:2024-07-02

    申请号:US17713171

    申请日:2022-04-04

    CPC classification number: H04B10/27 H04Q11/0062 H04Q2011/009

    Abstract: A procedure to solve the DFOS placement problem that uses a genetic algorithm to achieve a global optimization of sensor placement. First, our procedure according to aspects of the present disclosure defines a fitness function that counts the number of DFOS sensors used. Second, the procedure uses a valid DFOS placement assignment to model an individual in the genetic algorithm. Each individual consists of N genes, where N is the number of nodes in the given network infrastructure, e.g., N=|V|. Each gene has two genomes: (1) a list of 0s and/or 1s, in which is represent the network nodes that are equipped with DFOS sensors, and 0s represent the nodes that are not equipped with DFOS sensors; (2) a list of sensing fiber routes. An individual that has smallest number of is in their genes will be considered as the strongest individual. Thirdly, the procedure randomly generates a population of individuals. After a certain number of generations of population, the strongest individual in the last generation will be the global optima for the DFOS placement assignment.

Patent Agency Ranking