摘要
在日常养护路面病害识别方面,大多采用肉眼观测实际路面的方式,随着科技的发展,为降低劳动强度,发展为利用路面影像人工判读进行病害识别。无论怎样,人工用肉眼识别病害都存在漏检现象,准确率低,工作效率低。为解决此问题,以人工智能代替肉眼进行路面病害识别,并进行路面病害的可视化管理。基于人工智能的路面病害自动识别系统研发与应用,显著提升了路面病害识别效率,为路面病害自动化识别技术的发展做出了贡献,提高了养护管理科技水平。
In the daily maintenance of road surface disease identification,the method of observing the actual road surface with the naked eye is mostly used.With the development of technology,in order to reduce labor intensity,it has been developed to use manual interpretation of road surface images for disease identification.No matter what,there is always a phenomenon of missed detection when manually identifying diseases with the naked eye,with low accuracy and low work efficiency.To solve this problem,artificial intelligence is used instead of the naked eye for road surface disease recognition,and visual management of road surface diseases is carried out.The development and application of an automatic recognition system for road surface diseases based on artificial intelligence have significantly improved the efficiency of road surface disease recognition,contributed to the development of automatic recognition technology for road surface diseases,and improved the level of maintenance management technology.
作者
王薇
WANG Wei(Xi'an Provincial Highway Bureau,Xi'an,Shaanxi,710003,China)
出处
《智能城市应用》
2025年第1期20-22,共3页
Smart City Application
关键词
人工智能
公路路面
病害自动识别
应用
artificial intelligence
road surface
automatic identification of diseases and pests
application
