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基于自适应精简点云和优化经纬线扫描法的鞋底喷胶轨迹提取

古莹奎 郭明健 连增卫 叶彪彪

现代制造工程Issue(6):136-142,110,8.
现代制造工程Issue(6):136-142,110,8.DOI:10.16731/j.cnki.1671-3133.2025.06.015

基于自适应精简点云和优化经纬线扫描法的鞋底喷胶轨迹提取

Extraction technique for shoe sole glue spraying trajectory based on adaptive simplified point cloud and optimized latitude and longitude scanning method

古莹奎 1郭明健 1连增卫 1叶彪彪1

作者信息

  • 1. 江西理工大学机电工程学院,赣州 341000
  • 折叠

摘要

Abstract

In order to improve the efficiency and accuracy of intelligent automatic spraying of soles,the trajectory curve of auto-matic spraying of soles was planned and obtained based on point cloud processing technology.In the pretreatment of sole point clouds,straight-through filtering and Euclidean clustering were used to obtain sole body point clouds.An adaptive voxel down-sam-pling method for curvature feature division was proposed to analyze the curvature characteristics of shoe sole point clouds,introducing proportional error and Softsign function to adaptively obtain the voxel size,and remove redundant points while retaining features.In order to improve the accuracy of the glue spraying curve and solve the problem of sudden change in the contour curve of edge points obtained by scanning latitude and longitude lines,the contour of the highest point of the sole was reconstructed and optimized based on principal component analysis,Non-Uniform Rational B-Spline curve(NURBS)fitting was used to obtain the sole glue spraying trajectory curve.The test results show that the optimized and reconstructed sole gule spraying trajectory curve is smoother and more in line with the physical characteristics of the high edge of the sole,meeting the need for uniform glue spraying operation.

关键词

自适应体素下采样/主成分分析/经纬线扫描法/鞋底喷胶/点云

Key words

adaptive voxel downsampling/Principal Component Analysis(PCA)/latitude and longitude scanning method/shoe sole glue spraying/point cloud

分类

信息技术与安全科学

引用本文复制引用

古莹奎,郭明健,连增卫,叶彪彪..基于自适应精简点云和优化经纬线扫描法的鞋底喷胶轨迹提取[J].现代制造工程,2025,(6):136-142,110,8.

基金项目

国家自然科学基金资助项目(61963018) (61963018)

现代制造工程

OA北大核心

1671-3133

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