一种基于机器视觉的飞机线缆断线匹配方法及系统
Machine vision technology enables rapid and accurate matching of broken aircraft cables, solving the problems of low efficiency and poor accuracy in traditional manual methods, and reducing repair difficulty and cost.
CN116486123BActive Publication Date: 2026-07-17NORTHWESTERN POLYTECHNICAL UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NORTHWESTERN POLYTECHNICAL UNIV
- Filing Date
- 2023-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing technologies, matching broken aircraft cables relies on manual operation, which is inefficient, inaccurate, and difficult to repair, leading to increased maintenance costs and workload.
Method used
A machine vision-based approach is adopted, which involves acquiring cable cross-section images, performing grayscale processing and target detection, constructing a cascaded regression tree model, extracting feature points and constructing feature descriptors, and using feature point similarity for matching.
Benefits of technology
It improves the efficiency and accuracy of aircraft cable breakage matching, reduces repair difficulty and cost, reduces reliance on experienced experts, and provides efficient repair support.
✦ Generated by Eureka AI based on patent content.
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Figure CN116486123B_ABST
Abstract
本发明公开了一种基于机器视觉的飞机线缆断线匹配方法及系统，包括：采集飞机线缆断面图像，预处理后对飞机线缆断面图像进行灰度化处理，得到飞机线缆断面灰度图像；利用目标检测算法，检测并提取飞机线缆断面灰度图像中飞机线缆断面的圆形边缘，将飞机线缆断面图像中的线缆断面从背景中分离；构建级联回归树模型，提取线缆断面的特征点，构建特征描述子；根据特征描述子之间的距离度量特征点之间的相似性，基于特征点之间的相似性完成飞机线缆断线匹配。本发明可以大大提高飞机线缆断线修理匹配的工作效率和质量、缩短修理工期，并且减少修理的人力需求与成本。
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