摘要
针对东莞市鞋机装备制造业自动化程度不高的问题,以及为了降低劳动力成本和避免劳动者直接接触有害物质,将自动控制、图像处理等技术应用到鞋机装备制造业中。对中后帮鞋机涂胶控制部分的应用现状与存在的问题进行了深入地分析,提出了基于图像处理的全自动控制方案;研究并建立了图像处理与运动控制的无缝连接方法,通过CCD相机采集鞋楦图像,再利用图像处理算法,得到了鞋楦边缘轨迹坐标,进而将其输入到基于PC的运动控制卡中,通过开发设计的软件,使图像处理后的轨迹直接实时驱动运动控制执行机构;最后,在中后帮鞋机上进行了试验评估。研究结果表明,该系统无需工作人员对不同的鞋样涂胶路径进行反复示教,操作简单,且能大大地提高生产效率。
Aiming at the problem that Dongguan city shoe machine equipment manufacturing industry is not high degree of automation, in or- der to reduce labor costs and avoid workers in direct contact with hazardous substances and other outstanding problems, automatic control, image processing technology were applied to the shoe machine equipment manufacturing industry. The application status and existing prob- lems of shoe machine gluing control part were in-depth analyzed, a method that automatic control scheme based on image processing was pres- ented. Seamless connection method between image processing and motion control was established, shoes' image was collected by the CCD camera, track coordinates of the shoes' edge were gotten by using image processing algorithm, and then the coordinates were inputed to the PC-based motion control card. Through the development and design of software, it was realized that the track after image processing direct and in real time drived motion control. The results indicate that the system does not need a staff repeatedly teach different kind of shoes glue path, simple operation, and can greatly improve work efficiency.
出处
《机电工程》
CAS
2013年第9期1109-1112,1122,共5页
Journal of Mechanical & Electrical Engineering
关键词
机器视觉
运动控制
涂胶
图像处理
machine vision
motion control
gluing
image processing