Research on Displacement Monitoring Method of Heavy Load Bridge Structure Based on Stereo Vision

Abstract

The traditional sensor monitoring method has many problems in actual bridge health monitoring, such as low measurement accuracy and low sampling frequency. Based on this, a method for monitoring the displacement of a heavy-duty bridge structure based on stereo vision is proposed. The various physical parameters of the bridge structure are continuously acquired by installing different types of sensors, and the data-driven structure state assessment method is used to diagnose the performance and safety status of the bridge. Combined with stereo vision technology and traditional civil bridge structure monitoring methods, a set of bridge health monitoring and state evaluation system based on stereo vision was constructed to complete the structural displacement monitoring. Vibration monitoring and dynamic characteristics identification of the simply supported beams of the building simulated bridge deck and the vertical rods of the simulated bridge tower were compared with the traditional acceleration sensor method to verify that the method proposed in this paper has the advantages of structural vibration monitoring and dynamic characteristics identification. Feasibility and accuracy.