基于轻量化多目标视觉感知的高大模板系统位移监控OA北大核心CSTPCD

The failure of large reinforced concrete support systems(high formwork systems)may lead to instantaneous collapse and overturning of structures,thus the accuracy and real-time performance of the displacement monitoring of the formwork system are particularly important.Accordingly,a lightweight multi-target visual perception method for safety monitoring of high formwork system is proposed.For target occlusion and poor light in the monitoring process,a Pyramid-Histogram-Otsu multilevel threshold segmentation method is proposed,based on the area and shape consistency constraints,combined with a passive infrared target to achieve a robust extraction of the center.For multiple measurement points and real-time monitoring of the formwork system,based on the initial positioning and update optimization of the target tracking window,a Camshift-Gaussian-Centroid lightweight multi-target detection algorithm is developed to realize real-time monitoring of multi-targets in the formwork system.By integrating the above innovations,an online camera software-hardware integrated monitoring and warning system with edge computing capability is further developed.The developed method and system are successfully applied to the displacement monitoring of the high formwork system of a nuclear power casting platform,realizing real-time data acquisition(2 fps)and automatic processing(with accuracy of 0.35 mm),and demonstrating the effectiveness of the lightweight multi-target visual perception method in the safety monitoring of the formwork system.