摘要
针对线缆生产企业采用人工剪切重载铜板垛金属捆扎带劳动强度大、生产环境差、安全性弱等生产现状,开展基于机器视觉引导的铜板垛自动移送、称重,金属捆扎带自动剪切与抽离生产线的研发。构建大尺寸铜板垛捆扎带机器视觉定位系统,确立金属捆扎带机器视觉自动定位策略。采用阈值分割、边缘检测、形态学开闭运算和分水岭算法等机器视觉算法,完成捆扎带机器人自动定位与引导技术的研究。试验结果表明,捆扎带的机器视觉定位误差<1 mm,执行操作误差最小距离0.3 mm,最大距离1.0 mm,可以满足线缆生产企业铜板垛捆扎带自动剪切的需求。研究为大型铜板垛捆扎带剪切卷收提供新的解决方案。
In view of the current production situation of high labor intensity in manual cutting metal strapping belts for heavy load copper plate stack,poor production environment and weak safety in cable manufacturers,the research and development of automatic transfer and weighing of copper plate stack,automatic cutting and extraction of metal strapping belts from the production line was carried out based on machine vision guidance.The machine vision positioning system of strapping belts for large size copper plate stacks was constructed,and the automatic positioning strategy of metal strapping belts was established.The automatic positioning and guidance technology of strapping robot was studied by using machine vision algorithms such as threshold segmentation,edge detection,morphological open and close operation,and watershed algorithm.The actual test results show that the machine vision positioning error of the strapping belts is less than 1mm,the minimum distance of the execution operation error is 0.3 mm,and the maximum distance is 1.0 mm,which can meet the needs of automatic cutting of strapping belts for copper plate stacks in cable manufacturers.This study provides a new solution for enterprises to cut.
作者
晏祖根
陈召
朱迪
孙智慧
孟爽
李鹏
YAN Zugen;CHEN Zhao;ZHU Di;SUN Zhihui;MENG Shuang;LI Peng(School of Light Industry,Harbin University of Commerce,Harbin 150028,China)
出处
《包装与食品机械》
CAS
北大核心
2023年第4期76-83,共8页
Packaging and Food Machinery
基金
国家重点研发计划课题(2016YFD0400301)。
关键词
阈值分割
机器视觉
边缘检测
模板匹配
threshold segmentation
machine vision
edge detection
template matching
