线缆掩膜中心线代数化重建弯曲半径计算方法  

Algebraic reconstruction method for bending radius calculation of cable mask centerline

作　　者：曹国群 刘桂雄[1] 周善龙 CAO Guoqun;LIU Guixiong;ZHOU Shanlong(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China;Guangzhou FineTooling Technology limited liability company,Guangzhou 510640,China)

机构地区：[1]华南理工大学机械与汽车工程学院,广州510640 [2]广州市方瞳科技有限责任公司,广州510640

出　　处：《激光杂志》2024年第1期59-64,共6页Laser Journal

基　　金：广东省重点领域研发计划项目(No.2019B010154003)。

摘　　要：大型电气设备中线缆起到输送、信号传递重要作用,线缆弯曲半径测量是安装过程质量保证的重要环节。针对测量线缆弯曲半径传统方法存在操作不便、效率较低的问题,提出一种非接触式机器视觉线缆弯曲半径测量方法,基于深度学习RGB-D双模态语义分割网络分割线缆掩膜,从掩膜图像中提取线缆特征中心线,进而构建线缆空间特征点集,对缆空间特征点集用参数曲线代数化重建得线缆空间特征曲线,再利用质点空间曲线运动规律求解线缆弯曲半径。为验证本方法实际应用效果,用半径R=110 mm、125 mm标准圆弧固定线缆,由弦高法人工直尺测量结果与本方法测量结果对比,实验表明:本方法测量弯曲半径较人工直尺测量平均误差分别降低7.2%、2.2%,测量时间分别减少93.8%、92.2%。所提出的非接触式的机器视觉线缆弯曲半径测量方法在掩膜图像基础上代数化重建线缆空间特征曲线,计算其空间弯曲半径,测量结果可靠,较人工手动测量精度高、速度快,能适用于各种场合的线缆弯曲半径测量任务。In large electrical equipment,cables play an important role in transportation and signal transmission,and measuring the bending radius of cables is an important link in ensuring the quality of the installation process.A non-contact machine vision cable bending radius measurement method is proposed to address the issues of inconvenient operation and low efficiency in traditional methods for measuring cable bending radius.Based on deep learning RGBD bimodal semantic segmentation network,cable masks are segmented,and cable feature centerlines are extracted from mask images.Then,a cable spatial feature point set is constructed,and the cable spatial feature curve is reconstructed using parameter curve algebra to reconstruct the cable spatial feature curve,Then,the cable bending radius is calculated by using the Curvilinear motion law of the particle space.To verify the practical application effect of the method proposed in this paper,a standard arc with a radius of R=110 mm and 125 mm was used to fix the cable.The comparison between the measurement results of the manual ruler using the chord height method and the measurement results of the method proposed in this paper shows that the average error of measuring the bending radius using this method is reduced by 7.2%and 2.2%,respectively,compared to the manual ruler measurement,and the measurement time is reduced by 93.8%and 92.2%,respectively.The proposed non-contact machine vision cable bending radius measurement method algebraically reconstructs the cable spatial characteristic curve based on mask images,calculates its spatial bending radius,and the measurement results are reliable,with higher accuracy and faster speed than manual measurement.It can be applied to various occasions of cable bending radius measurement tasks.

关 键 词：线缆弯曲半径 等弧弦距采样方法 代数化重建 

分 类 号：TN249[电子电信—物理电子学]