Steel structures will produce spatial deformation under long-term loading and uneven forces,and deflection is an important measure of it.Conventional deflection detection methods rely on manual measurements or fixed sensors,which have certain limitations in real-time,accuracy and coverage,making it difficult to accurately capture the subtle changes in structural deformation.In this paper,the plant project of an automobile is taken as the engineering background,and the 3D laser scanning system based on simultaneous localization and mapping(SLAM)technology is used to carry out jacking measurements on the steel structure mesh frame and extract the spherical centers of the node balls of the steel structure through the RANSAC algorithm for deflection detection.The study shows that the steel structure deflection detection method based on SLAM technology has high accuracy and real-time performance,and can effectively detect the deflection deformation of the steel structure mesh frame,which provides a new idea and solution for steel structure deflection detection,and has important theoretical and application value.
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