Research on Long-span Bridge Point Cloud Morphology Identification

With the rapid development of 3D laser scanning technology and the trend of accurate and convenient acquisition of 3D point cloud data, the 3D point cloud data that was challenging to acquire in the past has also become one of the main ways to represent the 3D form of bridges. Among several bridge types, suspension bridges have high research value due to their widespread use in long-span bridges. The main cable, as the main load-bearing member of the suspension bridge, exhibits characteristics such as a large span, heavy components, and numerous influencing factors in long-span bridges. Thus, controlling the formation of the main cables is a problem frequently encountered in bridge engineering. Using 3D point cloud scanning data, this paper constructs an overall 3D point cloud model of the bridge and proposes an automatic extraction algorithm for bridge components based on this model. Subsequently, the paper illustrates the integration of the algorithm analysis and control of user interaction platform building, aiming to build up long span bridge digital base, therefore realizing variation recognition and digital tracking of long bridge space form.