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基于机器视觉的导电滑环表面微槽位置检测系统研发

Research and development of micro-slot position detection system for conductive slip surface based on machine vision

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【作者】 董芳凯郑智贞袁少飞李浩石亦琨

【Author】 DONG Fangkai;ZHENG Zhizhen;YUAN Shaofei;LI Hao;SHI Yikun;School of Mechanical and Power Engineering,North University of China;Captial Spaceflight Machinery Company;

【机构】 中北大学机械与动力工程学院首都航天机械公司

【摘要】 为了准确检测导电滑环表面上微槽的位置,开发了一套基于机器视觉的导电滑环表面微槽位置检测系统。运用Matlab软件对相机采集到的滑环图像进行处理,提取导电滑环上每条铜环的左右两侧边缘,进而检测出铜环表面微槽位置。将检测出的信息生成数控加工代码,控制机床实现导电滑环表面微槽的自动加工。实验结果与传统人工检测后加工微槽的方式进行对比,验证本系统能满足加工精度的要求下,可以提高加工效率,符合现代生产的要求。

【Abstract】 In order to accurately detect the position of the microchannel on the surface of the conductive slip ring,a set of microchannel position detection system based on machine vision was developed. The slip ring images collected by the camera were processed by Matlab software to extract the left and right edges of each copper ring on the conductive slip ring,and the position of the microchannel was detected. Detecting the information to generate CNC(computer numerical control) machining code and controlling the machine to achieve the conductive slip ring surface micro-slot automatic processing. The experimental results are compared with the traditional methods of microchannel processing. It is verified that the system can meet the requirements of machining precision,which can improve the processing efficiency and meet the requirements of modern production.

  • 【文献出处】 制造技术与机床 ,Manufacturing Technology & Machine Tool , 编辑部邮箱 ,2018年04期
  • 【分类号】TG659
  • 【被引频次】6
  • 【下载频次】115
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