基于机器视觉的人防门智能打磨系统
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TP241.2;TP391.41

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上海市民防科研项目(SHDK-K2022-004A)


Research on intelligent grinding equipment for civil air defense doors based on machine vision
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    摘要:

    针对人工识别易出错、清理效率低、打磨环境恶劣等难题,基于机器视觉原理结合双机械臂研制了一种人防门智能打磨系统,其中视觉系统主要由1台视觉控制器VC3300和2台500万像素相机构成。通过视觉系统识别工件的顶点坐标,建立待打磨坐标系与顶点坐标系的映射关系,解决了塞焊孔位置及埋弧焊位置难以有效识别、数据难以高效协同、高精度打磨难以实现的难题。实验结果表明:此视觉系统能够有效保证较高的定位准确率和精度,整体工序相较于人工提速33.3%,打磨后焊点的平均高度0.115mm,满足实际工业生产需求,具有较好的实用价值。

    Abstract:

    In view of the difficulties of the grinding production line such as error-prone manual identification, low cleaning efficiency and harsh grinding environment, the intelligent grinding equipment for civil air defense doors is developed based on the principle of machine vision combined with dual manipulators. The vision system is mainly composed of a vision controller VC3300 and two 5 million pixel cameras. By recognizing the vertex coordinates of the civil air defense doors through the visual system, a mapping relationship between the coordinate system to be grinded and the vertex coordinate system is established, which solves the problems of difficult identification of plug welding hole and submerged arc welding positions, difficulty in efficient data collaboration, and difficulty in achieving high-precision grinding. The experimental results show that the proposed system can effectively guarantee high positioning accuracy and precision. Compared to manual operation, the overall process of robot grinding increases the speed by 33.3%, and the average height of the welded joints after grinding is 0.115mm, which meets the needs of actual industrial production, and has good practical value.

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赵唯. 基于机器视觉的人防门智能打磨系统[J]. 科学技术与工程, 2024, 24(20): 8550-8557.
Zhao Wei. Research on intelligent grinding equipment for civil air defense doors based on machine vision[J]. Science Technology and Engineering,2024,24(20):8550-8557.

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  • 收稿日期:2023-08-31
  • 最后修改日期:2024-05-08
  • 录用日期:2023-09-27
  • 在线发布日期: 2024-07-26
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