人工智能在桥梁健康监测中的应用研究综述

Literature Review of Application of Artificial Intelligence on Bridge Health Monitoring

传统桥梁健康监测主要依靠提前布设的各类传感器来获取数据,并进行简单的处理与分析,这种模式往往存在数据不全面、数据失真、数据处理难度大等问题。人工智能的各类技术得益于其强大的获取与处理分析数据能力,被广泛运用于桥梁健康监测领域。主要介绍了基于计算机视觉、无人机、大数据及深度学习算法的桥梁健康监测研究应用与最新进展,同时对人工智能在桥梁健康监测领域面临的关键问题、主要挑战及未来发展趋势进行了总结,以期对桥梁工程学科的学术研究和工程实践提供基础资料和新的视角。

Conventional bridge health monitoring mainly relies on various sensors arranged in advance to obtain,process,and analyze data.However,it has incomplete data,data distortion,difficult data processing,and other issues.Artificial intelligence is widely used in the field of bridge health monitoring due to its powerful ability to acquire,process,and analyze data.This paper introduces recent research,applications,and progress of bridge health monitoring based on computer vision,drones,big data,and deep learning algorithms,analyzes the key problems,main challenges,and prospects future development of artificial intelligence applied in bridge health monitoring,hoping to provide a new perspective and basic information for the academic study and project practice of bridge engineering.