Uncertainty evaluation analysis of surface features in surface structured light measurement

Yinbao CHENG; Yifan ZHAO; Zai LUO; Zhongyu WANG; Xueying WANG

doi:10.37188/OPE.20223000.0205

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Uncertainty evaluation analysis of surface features in surface structured light measurement

Modern Applied Optics | 更新时间：2022-10-08

- Uncertainty evaluation analysis of surface features in surface structured light measurement
- Optics and Precision Engineering Vol. 30, Issue 17, Pages: 2039-2049(2022)
- 作者机构：
  
  1.中国计量大学计量测试工程学院，浙江杭州 310018
  2.北京航空航天大学仪器科学与光电工程学院，北京 100191
- 作者简介：
- 基金信息：
- DOI：10.37188/OPE.20223000.0205
  CLC： TB921
- Received：28 April 2022，
  
  Revised：10 June 2022，
  
  Published：10 September 2022
- 稿件说明：
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程银宝,赵一帆,罗哉等.面结构光测量曲面特征的不确定度评估[J].光学精密工程,2022,30(17):2039-2049.

CHENG Yinbao,ZHAO Yifan,LUO Zai,et al.Uncertainty evaluation analysis of surface features in surface structured light measurement[J].Optics and Precision Engineering,2022,30(17):2039-2049.
程银宝,赵一帆,罗哉等.面结构光测量曲面特征的不确定度评估[J].光学精密工程,2022,30(17):2039-2049. DOI： 10.37188/OPE.20223000.0205.

CHENG Yinbao,ZHAO Yifan,LUO Zai,et al.Uncertainty evaluation analysis of surface features in surface structured light measurement[J].Optics and Precision Engineering,2022,30(17):2039-2049. DOI： 10.37188/OPE.20223000.0205.

摘要

针对面结构光式扫描仪测量自由曲面轮廓度的不确定度溯源问题，提出2种不同的不确定度评估模型，从不同角度评定测量任务。基于误差源分析的透明箱模型根据曲面轮廓度的函数关系计算测量点从测量坐标系转换到CAD数模所在坐标系的变换矩阵，利用坐标转换得到的旋转、平移参数分析测量不确定度。基于量值统计的黑箱模型从测量结果分析得到测量系统的特性指标，依据特性指标示值误差、自校准误差、点云拼接误差、点云配准误差、重复性、复现性以及仪器分辨力建立评定模型实现不确定度评定。实验结果表明：基于透明箱模型的不确定度为0.020 mm，基于黑箱模型的不确定度为0.023 mm。黑箱模型可以更为效率、便捷地客观评价结构光式扫描测量系统测量自由曲面的不确定度。

Abstract

Focusing on the problem of uncertainty in the traceability of free-form surface contours measured using a surface structured light scanner， two different uncertainty evaluation models were proposed. The transparent box model， based on error source analysis， was used to calculate the matrix of transformation of the measurement point from the measurement coordinate system into the coordinate system in the CAD simulation. The measurement uncertainty was then analyzed according to the functional relationship of the surface profile， and the rotation and translation parameters obtained from the coordinate transformation. By contrast， the black box model， based on quantitative statistics， obtained the characteristic index of the measurement system from analysis of the measurement result. The evaluation model was established according to the indication， self-calibration， point cloud splicing， and point cloud registration errors， as well as the repeatability， reproducibility， and instrument resolution to enable uncertainty evaluation. The experimental results show that the uncertainty based on the transparent box model is 0.020 mm and the uncertainty based on the black box model is 0.023 mm. The quantitative statistical method is efficient and convenient for evaluating the uncertainty of measurements of a free surface obtained using the structured light scanning measurement system.

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references

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