Submarine Optical Cable Anchor Damage Detection Using Phase Signals
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Solution Overview
Problem
Existing technologies for detecting anchor damage in submarine optical cables suffer from low accuracy due to limitations in underwater visibility and harsh marine conditions, leading to inaccurate detection results.
Innovation Solution
A method involving constructing a target matrix and using a first-in, first-out detection sequencing for convolution processing of phase signals, which includes feature extraction, convolution operations, and a two-dimensional convolution kernel to determine anchor damage detection results, allowing for autonomous control of identification range and duration of damage events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If underwater sensors and camera equipment are used to monitor activities around optical cables, then detection coverage is provided, but detection accuracy deteriorates due to underwater visibility limitations and harsh marine conditions
Solution Approach 1:
The patent replaces mechanical/optical detection systems (underwater sensors and cameras) with optical signal-based detection. By using phase signals from optical fibers that are inherently present in the cable structure, the system avoids deploying separate mechanical detection devices into the harsh underwater environment, thereby eliminating the accuracy limitations imposed by underwater visibility and marine conditions.
2Measurement precision
If traditional detection methods are used, then detection simplicity is maintained, but detection accuracy deteriorates due to inability to perform multiple global detections under different time information
Solution Approach 1:
The patent implements periodic action by performing multiple convolution detections at different time intervals. The system divides the detection process into discrete time windows, applying convolution operations periodically to phase signals collected at different times. This enables comprehensive detection of anchor damage events while maintaining systematic and manageable complexity through structured time-based processing.
Solution Approach 2:
The patent adds the time dimension to the detection process by performing convolution operations on phase signals across multiple time windows. Instead of single-point detection, the system analyzes signals in temporal sequences, creating a time-based detection matrix that enables multiple global detections and significantly improves detection accuracy without requiring overly complex spatial mechanisms.
3Measurement precision
If convolution detection is performed on all phase signal values, then comprehensive detection is achieved, but processing time increases due to large data volume
Solution Approach 1:
The patent applies segmentation by dividing the large set of phase signal values into smaller time windows or segments. Instead of performing convolution detection on all signals simultaneously, the system processes signals in divided segments, applying convolution operations to each segment independently. This reduces the computational burden and processing time while maintaining comprehensive detection coverage through systematic segmentation of the detection task.
Data Source
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AI summary
The present application discloses a method for detecting anchor damage, an apparatus, a processor and an electronic device. The method includes: obtaining n phase signals to be detected; performing feature extraction on the n phase signals to obtain p phase signal values corresponding to each phase signal; constructing a target matrix that is initially empty and has a matrix size of m*n; sequentially filling the p phase signal values corresponding to each phase signal into the target matrix; performing a convolution processing on the target matrix of the convolution detection state to obtain a first convolution result, and determining a first anchor damage detection result for each of the n phase signals under the first time information based on the first convolution result; removing the phase signal values filled in the first row of the target matrix, moving the phase signal values filled in the second row to the m-th row of the target matrix to the first row to the (m-1)-th row, and restoring the target state of the target matrix from the convolution detection state to the signal filling state. The present application solves the problem of low accuracy in anchor damage detection in related technologies.