Crack localization and tracking in concrete structures based on 3D point cloud reconstruction
In order to realize automatic crack localization,width quantification,and extension tracking in concrete structure,a methodology for crack localization and tracking in concrete structures based on three-dimensional(3D)point cloud reconstruction was proposed.Firstly,the image set of the target building was obtained by an unmanned aerial vehicle(UAV)equipped with a high-resolution gimbal camera.Image acquisition and 3D reconstruction process were optimized to obtain an accurate point cloud model of the building structure and restore the camera space parameters.Secondly,the viewpoint localization algorithm was proposed to obtain the camera world coordinates of the cracks based on the restored camera space parameters.After binding the crack images to the world coordinates of cameras,the 3D coordinates of the crack were indexed based on the image to realize the automatic localization of the crack in the point cloud model.Finally,point cloud mapping and the registration algorithm for concrete structures was proposed to quantitatively track the propagation of crack width.The feasibility and accuracy of the large concrete building structure in service period were verified by experiments.The results show that the average scale error of 3D model reconstruction by the method is less than 3％,and the 3D coordinates of structure cracks can be automatically located.The average localization time of cracks is 38.09 μs,and by further registering the whole model with the updated crack point cloud set,the accurate tracking of crack propagation information(crack width)can be realized,and the test relative error is less than 8％.
万方数据
维普
