摘要
针对人工插装撑簧圈效率低、一致性差的不足,提出一种基于机器视觉技术的连接器撑簧圈智能插装技术。首先,采用IMAQ Vision视觉模块获取工件图像,利用二值化实现图像特征与背景的分离;然后,采用Remove函数去除大量小斑点和边界目标干扰,利用形态学闭操作实现插孔细小沟壑的填充,结合几何匹配实现工件特征主键角度计算;最后,通过Particle Analysis函数计算任意芯数孔位坐标以实现撑簧圈的智能插装。现场采用5种规格工件进行插装测试,结果显示撑簧圈完全正确插入插孔中,合格率达到100%,实现了撑簧圈的智能插装。
In order to overcome the shortcomings of low efficiency and poor consistency in manual insertion of supporting spring coil,an intelligent assembly technology of connector supporting spring coil based on machine vision technology was pro⁃posed.Firstly,the IMAQ Vision vision module was used to acquire the base image,and the image feature and background were separated by binarization.Then,functions of remove small objects and remove border objects were used to remove a large number of small spots and boundary target interference.The morphological closing operation was used to fill the small ravines in the sock⁃et.The primary key angle of workpiece feature was calculated by geometric matching.Finally,the hole coordinates of any core number were calculated through the Particle Analysis function to realize intelligent insertion of the spring coil.Five specifications of workpieces were used for plug in experiment.The results show that the spring coil is completely inserted into the jack correctly,and the qualified rate reaches 100%,thus realizing intelligent insertion of the spring coil.
作者
周龙福
刘超
ZHOU Long⁃fu;LIU Chao(College of Software and Artificial Intelligence,Chongqing Institute of Engineering,Chongqing 400056,China;Guizhou Aerospace Electronics Co.,Ltd.,Guiyang 550009,China;Department of Mechanical&Electronic,Yuncheng University,Yuncheng 044000,China)
出处
《仪表技术与传感器》
CSCD
北大核心
2020年第5期68-71,共4页
Instrument Technique and Sensor
