内外全景变形测量多镜面辅助数字图像相关方法
Multi-mirror aided digital image correlation for internal and external panoramic deformation measurement
Received:October 25, 2023  Revised:December 12, 2023
DOI:10.7520/1001-4888-23-222
中文关键词:  全景测量  数字图像相关  内外壁变形
英文关键词:panoramic measurement  digital image correlation  deformation of internal and external walls
基金项目:国家自然科学基金面上项目(12172200)
Author NameAffiliation
XU Mengqiao School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, Shandong, China 
WEN Qingfeng School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, Shandong, China 
MA Yancheng School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, Shandong, China 
ZHANG Weiling School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, Shandong, China 
DAI Xiangjun* School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, Shandong, China 
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中文摘要:
      为实现管状结构内外全景变形的同时测量,本文发展了一种可变姿态多镜面辅助数字图像相关方法。测量系统由共轴成像系统和3个可变姿态光学反射镜及必要的冷光源组成,通过合理布置反射镜的位置并调整其姿态,使管道内外壁各部分同时成像于相机靶;共轴采集系统的使用保证了2个相机均能够观测到所有待测区域;将采集到的图像进行相关计算并经过坐标转换后,可得到内外壁的全景形貌和三维变形分布。形貌和变形验证实验证明了该方法的准确性和有效性。
英文摘要:
      An attitude-variable multi-mirror assisted digital image correlation method was developed to achieve panoramic topography and deformation measurements on both the inside and outside of tubular structures in this paper. The measurement system consists of a coaxial imaging system, three optical mirrors with adjustable attitudes, and the required cold light source. By adjusting the reflector's position and angle, the camera is able to capture images of both the inner and outer walls of the pipeline simultaneously. Furthermore, the coaxial acquisition system ensures that every tested domain is observable by both cameras. After completing the correlation calculations and converting the coordinates, the panoramic 3D shape and deformation distribution of both the internal and external walls can be obtained. The accuracy and efficiency of the proposed method are demonstrated through validation experiments.
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