Literature Review of Application of Artificial Intelligence on Bridge Health Monitoring
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.
bridge health monitoringartificial intelligencesensor technologyintelligent analysisfault diagnosis
万方数据
维普
