Lenda Grzegorz, Marmol Urszula
Faculty of Mining Surveying and Environmental Engineering, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland.
Sensors (Basel). 2022 Sep 22;22(19):7202. doi: 10.3390/s22197202.
Spline functions are a useful tool for modelling the shape of shell structures. They have curvature continuity that allows good approximation accuracy for various objects, including hyperboloid cooling towers, spherical domes, paraboloid bowls of radio telescopes, or many other types of smooth free surfaces. Spline models can be used to determine the displacement of structures based on point clouds from laser scanning or photogrammetry. The curvature continuity of splines may, however, cause local distortions in models that have edges. Edges may appear in point clouds where surface patches are joined, on surfaces equipped with additional technical infrastructure or with cracks and shifts in the structure. Taking the properties of spline functions into account, several characteristic types of edge configurations can be distinguished, which may, to a different extent, affect the values of modelling errors. The research conducted below was aimed at identifying such configurations based on theoretical considerations and then assessing their effect on the accuracy of modelling shell structures measured by laser scanning. It turned out to be possible to distinguish between edge configurations, based on the deviation values.
样条函数是用于对壳体结构形状进行建模的一种有用工具。它们具有曲率连续性,这使得对于包括双曲线冷却塔、球形穹顶、射电望远镜的抛物面碗状结构或许多其他类型的光滑自由曲面在内的各种物体,都能有良好的近似精度。样条模型可用于根据激光扫描或摄影测量得到的点云来确定结构的位移。然而,样条的曲率连续性可能会在具有边缘的模型中引起局部变形。边缘可能出现在点云中曲面补丁拼接的地方、配备有额外技术设施的表面上,或者结构中有裂缝和位移的地方。考虑到样条函数的特性,可以区分出几种特征类型的边缘配置,它们可能会在不同程度上影响建模误差的值。下面进行的研究旨在基于理论考虑识别出此类配置,然后评估它们对通过激光扫描测量的壳体结构建模精度的影响。结果表明,基于偏差值能够区分边缘配置。