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大尺寸复杂形状组合测量系统的全局标定与多视数据融合

孟飙 曲学军

孟飙, 曲学军. 大尺寸复杂形状组合测量系统的全局标定与多视数据融合. 自动化学报, 2017, 43(11): 2051-2060. doi: 10.16383/j.aas.2017.c160273
引用本文: 孟飙, 曲学军. 大尺寸复杂形状组合测量系统的全局标定与多视数据融合. 自动化学报, 2017, 43(11): 2051-2060. doi: 10.16383/j.aas.2017.c160273
MENG Biao, QU Xue-Jun. Global Calibration and Multi-view Data Fusion for Combination Measurement System of Large Complicate Shapes. ACTA AUTOMATICA SINICA, 2017, 43(11): 2051-2060. doi: 10.16383/j.aas.2017.c160273
Citation: MENG Biao, QU Xue-Jun. Global Calibration and Multi-view Data Fusion for Combination Measurement System of Large Complicate Shapes. ACTA AUTOMATICA SINICA, 2017, 43(11): 2051-2060. doi: 10.16383/j.aas.2017.c160273

大尺寸复杂形状组合测量系统的全局标定与多视数据融合

doi: 10.16383/j.aas.2017.c160273
基金项目: 

国防基础科研项目 A0520132009

详细信息
    作者简介:

    孟飙  沈阳航空航天大学航空制造工艺数字化国防重点实验室副教授.2015年获北京航空航天大学博士学位.主要研究方向为先进飞机制造工艺.E-mail:biao_m@aliyun.com

    通讯作者:

    曲学军  沈阳航空航天大学航空航天工程学部副教授.2014年获北京航空航天大学博士学位.主要研究方向为飞机数字化装配, 数字化测量与数据分析.本文通信作者.E-mail:quxuejunjiang@sohu.com

Global Calibration and Multi-view Data Fusion for Combination Measurement System of Large Complicate Shapes

Funds: 

Defense Scientific Research Foundation A0520132009

More Information
    Author Bio:

    Associate professor at the Key Defense Laboratory of Aviation Manufacturing Process Digital, Shenyang Aerospace University. He received his Ph. D. degree from Beihang University in 2015. His main research interest is advanced aircraft manufacture process

    Corresponding author: QU Xue-Jun Associate professor at the Faculty of Aerospace Engineering, Shenyang Aerospace University. He received his Ph. D. degree from Beihang University in 2014. His research interest covers aircraft digital assembly, digital measurement and data analysis. Corresponding author of this paper
  • 摘要: 为解决大尺寸复杂形状全局测量与局部精度控制的矛盾,提出以大空间测量设备为全局控制手段,集成终端近距离测量设备的组合测量、全局标定与数据融合方法.在多站位下观测测量控制网以获取冗余观测数据,利用测量平差优化技术完成控制网的高精度标定.建立全局测量坐标系与测量控制网的物理关联,实现测量空间基准定义的唯一性.布设扫描仪观测目标并建立基准坐标系,为扫描仪位姿空间定位提供观测目标.建立扫描仪坐标映射模型,基于平差优化技术完成模型的高精度标定.测量过程中通过移动扫描仪获取多视角精密测量数据,利用激光跟踪仪完成局部视角位姿的动态跟踪,结合控制网的坐标观测实现局部视角测量数据的全局标定与数据融合.实验结果表明,所提出的组合测量与标定方法有效地拓展了测量空间并控制了全局测量误差,同时避免了额外标定设备与标定操作的介入对测量工作的干扰.
    1)  本文责任编委 潘泉
  • 图  1  组合系统测量原理

    Fig.  1  Measurement principle of the combination system

    图  2  控制网平差优化原理

    Fig.  2  The adjustment optimization principle of the control net

    图  3  基坐标系标定原理

    Fig.  3  Principle of calibration for the base coordinate system

    图  4  全局测量控制网的精密定位与建立的全局测量坐标系

    Fig.  4  Positioning of the global measurement control net and the global measurement coordinate system being build

    图  5  两种标定方法偏差指标的对比分析结果

    Fig.  5  Comparison of deviaton of two calibration methods

    图  6  欧拉角偏差统计

    Fig.  6  Deviation statistics of Euler angles

    图  7  平移向量偏差统计

    Fig.  7  Deviation statistics of translation vector

    图  8  多视数据对齐效果

    Fig.  8  Alignment of multi-views

    图  9  测量数据与产品数模的对比分析

    Fig.  9  Comparison of the measurement data and the product digital model

    表  1  全局控制点坐标平差优化值及其改正值(mm)

    Table  1  Adjustment optimization data and correction data of global control points (mm)

    点标号$i$ ($\tilde {X}_i, \tilde {Y}_i, \tilde {Z}_i $) ($\Delta X_i, \Delta Y_i, \Delta Z_i $) ($X_i^g, Y_i^g, Z_i^g $)
    1 (12 252.98, 322.26, 4 504.09) (0.0486, -0.0426, -0.0299) (1 076.31, 16 337.32, 2 945.28)
    2 (8 945.73, 9 267.59, 2 873.47) (0.0965, -0.0399, 0.0369) (-3 016, 8 188.10, -289.44)
    3 (965.34, 12 538.02, 4 226.69) (-0.0569, 0.0989, -0.0696 (0, 0, 0)
    4 (-8 322.58, 9 342.42, 3 693.69) (-0.0545, 0.0086, 0.0180) (8 725.40, -4 496.77, -637.45)
    5 (-11 840.10, -966.31, 2 930.69) (0.0270, 0.0891, 0.0735) (18 655.78, 0, 0)
    6 (-9 244.90, -7 760.16, 1 234.16) (0.0514, -0.0918, 0.0151) (21 908.71, 6 708.09, -430.51)
    7 (-31.87, -11 310.17, 3 332.17) (-0.0643, 0.0806, 0.0671) (18 010.96, 15 437.26, 2 807.94)
    8 (7 904.81, -8 381.42, 417.06) (-0.0695, 0.0144, -0.0519) (10 644.53, 19 671.15, 0)
    下载: 导出CSV

    表  2  局部平差优化结果

    Table  2  Local adjustment optimization results

    $k$ $\omega _x^k $ (°) $\omega _y^k $ (°) $\omega _z^k $ (°) $t_x^k $ (mm) $t_y^k $ (mm) $t_z^k $ (mm)
    1 2.476 6.158 -1.404 -19.584 -35.066 279.667
    2 2.481 6.154 -1.408 -19.273 -34.968 279.514
    3 2.487 6.159 -1.403 -19.393 -34.865 279.604
    4 2.485 6.167 -1.395 -19.421 -35.083 279.424
    5 2.494 6.149 -1.413 -19.345 -35.181 279.514
    6 2.495 6.144 -1.418 -19.719 -34.976 279.426
    7 2.492 6.155 -1.407 -19.472 -35.186 279.678
    8 2.500 6.154 -1.408 -19.668 -35.155 279.779
    9 2.492 6.148 -1.414 -19.586 -34.941 279.689
    10 2.493 6.157 -1.405 -19.55 -35.169 279.652
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-03-16
  • 录用日期:  2016-09-05
  • 刊出日期:  2017-11-20

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