Research on Intelligent Detection Technology for Highway and Bridge Engineering

Abstract

Bridges are a crucial component of infrastructure, and the detection of their structure and health status has always been a focus of attention in the engineering field. However, there are a series of challenges in the application of traditional bridge detection methods in complex environments, especially in fine detection of special areas, which usually only rely on manual visual inspection, which limits the ability to comprehensively understand the health status of bridges. In response to this issue, research and summary on intelligent detection technology and equipment for highway bridges indicate that timeliness and accuracy are key factors in the process of bridge health diagnosis, evaluation, and maintenance. In modern engineering practice, intelligent detection technology and equipment have been widely applied, and rapid development has made machine vision based detection technology the main means. This trend has brought significant improvements to bridge inspection, and the introduction of various non-destructive testing technologies has provided diversified data support for the inspection process, making the inspection results more comprehensive and reliable. High performance intelligent detection equipment has emerged in this context, with its ability to carry various advanced sensors gradually covering various bridge detection needs.