Research on Displacement Monitoring Algorithm and Application of Floating Bridges Based on Improved Kalman Filter

During the erection of a floating bridge, it is subjected to various external forces such as water flow, waves, wind forces, and vehicle loads, which can cause structural displacements and thus affect traffic safety. Aiming at the problem in traditional displacement monitoring of floating bridges using total station electronic tachometers, where the obtained dynamic target positions have lag due to different response times of sensors, this paper proposes a floating bridge displacement data monitoring algorithm based on Kalman filtering. Additionally, it explores adaptive improvements to the algorithm, automatically removes outliers in monitoring data, and enhances the algorithm's stability. Finally, practical application tests are conducted on the algorithm, and the experimental results are compared with those of the traditional automatic total station aiming method to verify the algorithm's effectiveness.