关键词: 桥梁工程；贴近摄影测量；防船撞装备；三维重建；C2C；变形监测

Abstract: Bridge anti-ship-collision equipment can effectively reduce the incidence of ship collision accidents, mitigate the consequences of collision accidents, and ensure the safety of bridges, people and property. In response to the deformation monitoring needs of bridge anti-ship-collision equipment, a deformation monitoring method of bridge anti-ship-collision equipment based on nap-of-the-object photogrammetry reconstructed point cloud was proposed. By using UAV to collect images and combining with structure from motion-multi-view stereo vision (SfM-MVS) algorithm, the three-dimensional point cloud model reconstruction of the ship collision prevention equipment was realized. The cloud to cloud (C2C) algorithm was used to detect changes in 3D point cloud data. The three-dimensional point cloud data of anti-ship-collision equipment at different time or scenarios were compared and analyzed, realizing automatic detection of deformation and damage of anti-ship-collision equipment. The proposed monitoring method was able to identify structural deformation above 0.4 cm. The research results show that the deformation monitoring method of bridge anti-collision devices based on nap-of-the-object photogrammetry is suitable for the automated detection of bridge anti-ship-collision equipment and has high practical value.

Key words: bridge engineering; nap-of-the-object photogrammetry; anti-ship-collision equipment; 3D reconstruction; C2C; deformation monitoring