Application of Computer Vision and Image Processing Technology in Bridge Condition Monitoring System

Cloud monitoring system for bridge health based on computer vision, including visual terminal and cloud server; The vision terminal sends the pre processed image data to the ECS through WAN and 5G; The ECS carries out 3D reconstruction according to image data to obtain the 3D reconstruction model, and compares it with the 3D design drawing of the bridge to obtain the 3D comparison result; According to the three-dimensional comparison results, the current bridge health status is diagnosed. In this paper, the image data of the bridge is collected through computer vision technology. The installation and maintenance are much more convenient than the traditional collection terminals based on mechanical and electronic sensors, acoustic vibration sensors and photoelectric sensors; Each visual terminal can cover an area, while the sensor can only be placed at a fixed point, so the installation workload is much less than the latter; The deformation of the bridge can be displayed in the form of three-dimensional images. Compared with the data collected by sensors, the health diagnosis of the bridge is more convenient and accurate.

I. Introduction

Large bridges are important infrastructure of a country and region. Due to the coupling effect of complex factors such as environmental erosion, material aging, fatigue effect caused by reciprocating load and so on, structural diseases (such as concrete cracks, concrete spalling, steel fatigue cracks, etc.) and deformation (such as over limit vibration, girder deflection, bearing separation, etc.) will inevitably occur during the service period of several decades. The continuous accumulation of damage and deformation of bridge structures will directly threaten the service safety, and even lead to extreme disaster accidents. Therefore, bridge health monitoring and detection is very necessary to ensure the service safety of large bridge structures.