Research Progress of Intelligent Detection Technology and Equipment for Diseases in Cable-Supported Bridge Systems
DOI:
https://doi.org/10.62051/ajmse.v1n2.12Keywords:
Cable-supported Bridges, Intelligent Detection Technique, UAV, Robot, Machine Learning Algorithm, Point Cloud, 3D ReconstructionAbstract
Bridges are important infrastructure for China's modernization. Currently, China's bridge construction scale, technical level, especially the construction level of long-span bridges, has leapt to the forefront of the world. Cable-supported bridges include cable-stayed bridges and suspension bridges. For bridge projects with a span exceeding 1000 m, cable-supported bridges are the only bridge type choice. Many early-built long-span cable-supported bridges at home and abroad have experienced service performance degradation during their service life. The actual service life of bridges is far shorter than the design life, one of the important reasons being the lack of management and maintenance. The domestic mainstream bridge maintenance management method is manual inspection, which is relatively passive, time-consuming, and has high repair costs. In recent years, UAV technology, robotics, machine learning algorithms, and LiDAR point cloud-based 3D reconstruction technology for buildings have made significant progress. Researchers have developed various bridge disease detection equipment and methods, some of which have been applied in practical engineering. This paper mainly introduces the main disease forms of cable-supported bridges and some research directions and achievements of intelligent detection technology, and analyzes the advantages and disadvantages of different intelligent detection technologies and equipment.
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