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基于视觉检测技术的冲压收料线监测系统开发
英文标题:Development on monitoring system for stamping receiving line based on visual inspection technology
作者:石磊 汪建余 孙胜伟 贺贵金 张红杰 赵绍昕 
单位:一汽-大众汽车有限公司 
关键词:冲压模具 收料线 视觉检测技术 模板匹配 智能监测 
分类号:TG386
出版年,卷(期):页码:2023,48(9):184-189
摘要:

 在传统生产模式中,车身覆盖件的冲压生产均是在封闭的生产线中进行的,生产过程无法实时对冲压收料线进行监测。通过采用视觉非接触检测技术结合图像AI算法,搭建了冲压收料线监测系统,生产线内部布置的6台高速镜头通过生产线压机信号触发拍照,并自动与基准图像进行模板匹配,能够在强震动、高节拍的环境下实现拉延零件不同区域收料线的实时监测,输出18个监测区域的收料线偏差值,并对超出设定阈值的零件进行预警。生产维护人员可在不停机的情况下根据曲线偏差情况对相应区域的压力值进行调整,大大降低了生产线废返品率及停台效率损失。结果表明,系统投入运行后预计实现年度废返品节约26万元,停台效率节约9万元。

 In the traditional production mode, the stamping production of automobile body panels is carried out on the closed production line, and the stamping receiving line cannot be monitored in real time during the production process. Therefore, a monitoring system for the stamping receiving line was built by the visual non-contact detection technology combined with image AI algorithm, and the six high-speed lenses arranged inside the production line were triggered by the signal of production line press to take pictures and automatically perform template matching with the reference image, which could realize the real-time monitoring of receiving line in different areas of drawing parts in the environment of strong vibration and high beat, output the deviation values of receiving lines in eighteen monitoring areas, and give early warning to the parts exceeding the set threshold. Then, the production and maintenance personnel could adjust the pressure values in the corresponding area according to the curve deviation without stopping the machine, and the waste and return rates of parts for production line and the loss of shutdown efficiency were greatly reduced. The result shows that after the system is put into operation, it is expected to save 260000 yuan in annual waste and return parts and 90000 yuan in shutdown efficiency.

基金项目:
一汽-大众汽车有限公司 智慧工厂项目
作者简介:
石磊(1989-),男,硕士,工程师 E-mail:Lei.shi.pl@fawvw.com
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