Application of Intelligent Detection and Maintenance Algorithms in Road Engineering

With the rapid progress of the times and the vigorous development of the economy, China has achieved historic achievements in road construction that have attracted worldwide attention. However, with the increase of road service life and traffic flow, the problem of road surface diseases is gradually becoming prominent. These diseases not only affect driving safety, but also increase the cost of road maintenance. In this context, achieving high-quality inspection and maintenance management of road engineering is particularly important. This article proposes a road engineering disease automatic detection and maintenance algorithm based on deep learning (DL), aiming to achieve accurate recognition, rapid positioning, and intelligent repair of road surface diseases through advanced DL technology. This algorithm adopts the DL model, and through training and learning a large amount of road surface image data, it can automatically identify different types of road surface diseases and accurately label their positions and degrees. The experimental results show that the algorithm has high accuracy and stability in road surface disease detection, and can effectively help road maintenance personnel detect and handle road surface diseases in a timely manner, improving the efficiency and quality of road maintenance.