US 12,480,807 B2 · Systems and methods for utilizing machine learning to minimize a potential of damage to fiber optic cables

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.

Claims20

Dependent claims

A method, comprising:

receiving, by a device and in batches based on a request for baseline sensing data associated with a fiber optic cable, the baseline sensing data;
determining, by the device, a baseline sensing profile based on the baseline sensing data;
receiving, by the device and in batches based on a schedule associated with a request for additional sensing data associated with the fiber optic cable, the additional sensing data,
wherein the additional sensing data identifies at least one of:
amplitudes of vibration signals,
frequencies of the vibration signals,
patterns of the vibration signals,
times associated with the vibration signals, or
locations along the fiber optic cable associated with the vibration signals;
processing, by the device and based on comparing the additional sensing data to the baseline sensing profile, the additional sensing data to determine a measure of how quickly a detected activity is capable of damaging the fiber optic cable;
and
performing, by the device and based on the measure, one or more actions.

9 more elements

A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors of a device, cause the device to:
receive, in batches according to a schedule associated with a request for baseline sensing data associated with a fiber optic cable, the baseline sensing data;
determine, based on the baseline sensing data, a baseline sensing profile;
receive, in batches according to a schedule associated with a request for additional sensing data associated with the fiber optic cable, the additional sensing data;
process, based on comparing the additional sensing data to the baseline sensing profile, the additional sensing data to determine a measure of how quickly a detected activity is capable of damaging the fiber optic cable;
and
perform, based on the measure, one or more actions to minimize a potential of damage to the fiber optic cable.

4 more elements

Dependencies are inferred from the claim text.

Systems and methods for utilizing machine learning to minimize a potential of damage to fiber optic cables

Life of this patent

Systems and methods for utilizing machine learning to minimize a potential of damage to fiber optic cables

Life of this patent

Abstract

Claims20