摘要
排水管线对于城市的发展至关重要,关系到居民的生活环境和生存质量,目前全国多个城市和地区开展了管线检测项目,排查管道存在的缺陷。由于管线检测会拍摄管道内部大量视频,需要人工判读,耗费大量人力和时间,因此,本论文提出采用深度学习的方法来进行视频自动判读,提高管道检测的工作效率,节约施工时间和人员成本。
The Drainage pipeline is vital to the development of the city,and is related to the living environment and quality of life of the residents.At present,pipeline inspection projects have been carried out in many cities and regions across the country to investigate the diseases existing in the drainage pipeline.As the pipeline inspection will capture a large amount of video inside the pipeline,it requires manual interpretation and consumes a lot of manpower and time.Therefore,this paper proposes a method of deep learning to conduct automatic video interpretation,improve the efficiency of pipeline inspection,and save construction time and labor costs.
作者
王勇
张彦涛
杨然
Wang Yong;Zhang Yantao;Yang Ran(Hebei Tianyuan Geographic Information Technology Engineering Co.,Ltd.,Langfang 065201,China)
出处
《城市勘测》
2019年第S01期199-203,共5页
Urban Geotechnical Investigation & Surveying
关键词
排水管线
管线检测
视频判读
深度学习
Drainage Pipeline
Pipeline Detection
Video Interpretation
Deep Learning
