一种适用于零件批量检测的尺寸批量测量方法
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西南科技大学计算机科学与技术学院

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四川省教育厅科技成果转化重大培育项目;西南科技大学龙山学术人才科研支持计划


Dimension batch measurement method suitable for batch parts inspection
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    摘要:

    对于工业零件的检测,目前主要采用人工抽检的接触式尺寸测量或基于机器视觉的非接触式测量。针对零件批量检测时需人工逐一替换检测对象、测量过程耗时长等问题,提出了一种适用于零件批量检测的尺寸批量测量方法,包含零件识别、待测量区域定位、边缘检测与最小二乘拟合、基于多线程的并行测量等主要流程。实验结果表明,测量精度误差不超过2.1μm,重复性测量误差不超过0.8μm,对于包含100个手工检测合格的工业常用圆角小方块零件的5528×10416像素拼接图像,测量速度不超过9s,批量检测结果均为合格(公差为3.0μm),能满足工业批量检测的需求,有效解决工业实际问题。

    Abstract:

    For the inspection of industrial parts, manual dimensional measurement of contact type or non-contact measurement based on machine vision is mainly used. Aiming at the problems such as the need to manually replace the test objects one by one during the batch inspection, and the length of the measurement process, a batch size measurement method suitable for batch inspection is proposed, including a series of main processes such as part identification, positioning of the area to be measured, edge detection and least squares simulation, and multi-threaded parallel measurement, etc. The experimental results show that the measurement accuracy error does not exceed 2.1 μm, and the repeatable measurement error does not exceed 0.8 μm. For a 5528 × 10416 pixel mosaic image containing 100 hand-qualified, commonly used round small square parts, the measurement speed does not exceed 9s. The batch test results are all qualified (tolerance is 3.0 μm), which can meet the needs of industrial batch testing and effectively solve practical industrial problems.

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吴代思,范勇,陈念年,巫玲.一种适用于零件批量检测的尺寸批量测量方法计算机测量与控制[J].,2020,28(10):46-50.

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  • 收稿日期:2020-03-23
  • 最后修改日期:2020-04-02
  • 录用日期:2020-04-03
  • 在线发布日期: 2020-10-21
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