Evaluation of High-precision Bridge Monitoring System Based on Improved Particle Swarm Optimization Algorithm

Bridges are key nodes in transportation systems, and monitoring their health status is crucial for ensuring traffic safety. This article proposed a high-precision bridge monitoring system based on improved Particle Swarm Optimization (PSO) algorithm, which could accurately grasp the structural status and deformation of bridges and achieve good monitoring results. In this system, an improved PSO algorithm was used to construct a prediction model, and relevant sensor data was collected. By analyzing and preprocessing the data, the structure and deformation status of the bridge were monitored. The experimental results showed that the bridge detection loss test error under the improved PSO algorithm had a minimum of 0.01 and a maximum of 0.02. This indicated that the high-precision monitoring system for bridges proposed in this article had good accuracy and reliability, and could provide good support for the operation and maintenance of bridges.