Research of Highway Bridge Settlement Monitoring Technology based on Machine Vision

Abstract

In view of the significant impact of deep foundation pit excavation on the surface of surrounding roads and bridges, the widely used monitoring technology still relies on manual detection means, which leads to the consumption of a large number of human and material resources, and the efficiency is relatively low. Therefore, this paper provides a method and system of highway bridge pile foundation displacement monitoring based on machine vision. Through real-time automatic monitoring of highway bridge pile foundation settlement changes, it provides targeted suggestions and guidance for highway bridge maintenance during foundation pit excavation. At the same time, a new type of marker module is provided to enhance the accuracy of feature point recognition in image processing. The results show that the highway bridge settlement monitoring system based on machine vision method can automatically monitor the highway bridge pile foundation settlement in real time with high accuracy, and improve the safety and stability of highway bridges during construction.