SYSTEMS AND METHODS FOR UTILIZING MACHINE LEARNING TO MINIMIZE A POTENTIAL OF DAMAGE TO FIBER OPTIC CABLES

    公开(公告)号:US20220136891A1

    公开(公告)日:2022-05-05

    申请号:US17088195

    申请日:2020-11-03

    Abstract: A device may receive, from a fiber sensor device, sensing data associated with a fiber optic cable, the sensing data being produced by an activity that poses a threat of damage to the fiber optic cable, and the sensing data identifying: amplitudes of vibration signals, frequencies of the vibration signals, patterns of the vibration signals, times associated with the vibration signals, and locations along the fiber optic cable associated with the vibration signals. The device may process, with a machine learning model, the sensing data to determine a threat level of the activity to the fiber optic cable, the machine learning model having been trained based on historical information regarding detected vibrations, historical information regarding sources of the detected vibrations, and historical information regarding threat levels to the fiber optic cable. The device may perform one or more actions based on the threat level to the fiber optic cable.

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