Global Calibration and Multi-view Data Fusion for Combination Measurement System of Large Complicate Shapes
-
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.Abstract: To eliminate the contradiction between global measurement and local precision control in 3D digitizing of large complex shapes, a combination measurement scheme is proposed, which is characterized by global control means with large space measuring device, and acquiring detail data with terminal close device, as well as global calibration of the system and data fusion of multi-views. In order to calibrate the global measurement control net, observations are performed at a number of sites to acquire redundant data. They are then fed into an optimization algorithm to precisely position the net. In order to uniquely define the measurement foundation during the whole measuring process, a global measurement coordinate system as well as the physical relation to the control network is setup. By means of fixing a number of observing target points on the scanner, a base coordinate system is built for detecting the pose and orientation of the scanner with the laser tracker. Moreover, a coordinate mapping model of the scanner is established, and its high precision calibration is carried out based on measurement adjustment optimization technology. During the measurement, multi-view shape data detail is obtained through moving the scanner, meanwhile the laser tracker performs on-time positioning and posture detecting of the scanner at each site. Combined with observation of the control net, global calibration of data of each local view and data fusion of them are achieved. Experimental results show that the combination measurement and calibration method proposed can effectively expand the measurement space and control the global measurement error. In addition, it avoids interfering with the measurement, due to the fact that additional calibration equipment and operation are no longer needed.1) 本文责任编委 潘泉
-
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 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
-
[1] Mosqueira G, Apetz J, Santos K M, Villani E, Suterio R, Trabasso L G. Analysis of the indoor GPS system as feedback for the robotic alignment of fuselages using laser radar measurements as comparison. Robotics and Computer-Integrated Manufacturing, 2012, 28(6):700-709 doi: 10.1016/j.rcim.2012.03.004 [2] Liu X L, Peng X, Chen H L, He D, Gao B Z. Strategy for automatic and complete three-dimensional optical digitization. Optics Letters, 2012, 37(15):3126-3128 doi: 10.1364/OL.37.003126 [3] Fu Y J, Wang Z G, Li B, Zhang J C. Three-dimensional shape measurement of complex surfaces based on defocusing and phase-shifting coding. Journal of Modern Optics, 2015, 62(12):1015-1026 doi: 10.1080/09500340.2015.1019381 [4] Schöch A, Salvadori A, Germann I, Balemi S, Bach C, Ghiotti A, Carmignato S, Maurizio A L, Savio E. High-speed measurement of complex shaped parts at elevated temperature by laser triangulation. International Journal of Automation Technology, 2015, 9(5):558-566 doi: 10.20965/ijat.2015.p0558 [5] Nakazawa T, Samara A. Three-dimensional inline inspection for substrate warpage and ball grid array coplanarity using stereo vision. Applied Optical, 2014, 53(14):3101-3109 doi: 10.1364/AO.53.003101 [6] Qi L, Zhang Y X, Wang S, Tang Z Q, Yang H, Zhang X P. Laser cutting of irregular shape object based on stereo vision laser galvanometric scanning system. Optical and Lasers in Engineering, 2015, 68:180-187 doi: 10.1016/j.optlaseng.2014.12.007 [7] Ri S E, Muramatsu T, Saka M, Tanaka H. Fast and accurate shape measurement system utilizing the fringe projection method with a ferroelectric liquid-crystal-on-silicon microdisplay. Optical Engineering, 2012, 51(8):081506 doi: 10.1117/1.OE.51.8.081506 [8] Zhang F M, Qu X H. Fusion estimation of point sets from multiple stations of spherical coordinate instruments utilizing uncertainty estimation based on Monte Carlo. Measurement Science Review, 2012, 12(2):40-45 http://adsabs.harvard.edu/abs/2012MeScR..12...40Z [9] Muelaner J E, Cai B, Maropoulos P G. Large-volume metrology instrument selection and measurability analysis. Proceedings of the Institution of Mechanical Engineers, Part B:Journal of Engineering Manufacture, 2010, 224(6):853-868 doi: 10.1243/09544054JEM1676 [10] Maropoulos P G, Guo Y, Jamshidi J, Cai B. Large volume metrology process models:a framework for integrating measurement with assembly planning. CIRP Annals-Manufacturing Technology, 2008, 57(1):477-480 doi: 10.1016/j.cirp.2008.03.017 [11] Gosavi A, Cudney E. Form errors in precision metrology:a survey of measurement techniques. Quality Engineering, 2012, 24(3):369-380 doi: 10.1080/08982112.2011.652583 [12] Galetto M, Mastrogiacomo L, Pralio B. MScMS-Ⅱ:an innovative IR-based indoor coordinate measuring system for large-scale metrology applications. The International Journal of Advanced Manufacturing Technology, 2011, 52(1-4):291-302 doi: 10.1007/s00170-010-2717-0 [13] 占栋, 于龙, 肖建, 陈唐龙.多摄像机结构光大视场测量中全局标定方法研究.仪器仪表学报, 2015, 36(4):903-912 http://d.wanfangdata.com.cn/Periodical/yqyb201504023Zhan Dong, Yu Long, Xiao Jian, Chen Tang-Long. Study on multi-cameras and structured-light vision system calibration approach study in large filed view measurement. Chinese Journal of Scientific Instrument, 2015, 36(4):903-912 http://d.wanfangdata.com.cn/Periodical/yqyb201504023 -
点击查看大图
图(9) / 表(2)
计量
- 文章访问数: 2347
- HTML全文浏览量: 210
- PDF下载量: 726
- 被引次数: 0
