Cable size parameter detection method and system based on point cloud feature registration

By using multispectral image signals and stress field mapping technology, the problems of optical-mechanical coupling edge pseudo-drift and visual distortion in traditional cable inspection have been solved, enabling high-precision measurement of cable insulation thickness and eccentricity, reducing errors and maintenance costs.

CN122170762APending Publication Date: 2026-06-09STATE GRID SHANXI ELECTRIC POWER COMPANY TAIYUAN POWER SUPPLY COMPANY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID SHANXI ELECTRIC POWER COMPANY TAIYUAN POWER SUPPLY COMPANY
Filing Date
2026-05-12
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Traditional cable testing technologies cannot effectively eliminate the pseudo-drift at the optomechanical coupling edge and the visual distortion induced by the refractive index gradient under complex mechanical stress conditions, resulting in large errors in the calculation of cable insulation thickness and eccentricity, which cannot meet the high-precision testing requirements of scenarios such as underground pipe corridors and substations.

Method used

By combining the topological mapping relationship of multispectral image signals excited by multi-band pulsed light sources, light trace energy matrix, error fingerprint library and probability segmentation mask, and sub-pixel point cloud and environmental stress parameters, digital decoupling of pseudo-drift at the optomechanical coupling edge is achieved, and false displacement is accurately identified and sub-pixel quantization of size parameters is performed.

Benefits of technology

It achieves high-confidence restoration of the physical configuration of cable cross-section, reduces measurement errors and maintenance costs, and improves the accuracy and robustness of cable insulation thickness and eccentricity measurement.

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Abstract

This invention relates to the field of power cable testing technology, and discloses a method and system for detecting cable dimensional parameters based on point cloud feature registration. The method includes: acquiring multispectral image signals; obtaining the light trace energy matrix through physical simulation; constructing an error fingerprint database by combining topological mapping; performing semantic segmentation on the image signals to obtain a probability segmentation mask; calling the fingerprint database to obtain a correction matrix and extracting the original sub-pixel point cloud; performing confidence assessment based on environmental stress parameters to obtain a weighted confidence feature set; performing geometric center alignment to output the cable geometric center set, and then extracting the dimensions to obtain the cable cross-section measurement results. This invention achieves digital decoupling of stress-induced optomechanical coupling pseudo-drift, solves the technical problems of numerical jumps in insulation thickness and deviations in eccentricity calculation, and improves the confidence and measurement accuracy of cable cross-section configuration reconstruction under complex mechanical stress conditions.
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