排水管道检测与缺陷识别技术综述  

A Review on Detection and Defect Identification of Drainage Pipeline

作　　者：王俊岭[1] 邓玉莲 李英[1] 张现国 WANG Jun-ling;DENG Yu-lian;LI Ying;ZHANG Xian-guo(Key Laboratory of Urban Storm Water System and Water Environment,Ministry of Education,Beijing University of Civil Engineering and Architecture,Beijing 100032,China;Beijing Capital Co.,Ltd.Beijing 100032,China)

机构地区：[1]北京建筑大学,城市雨水系统与水环境教育部重点实验室,北京100032 [2]北京首创股份有限公司,北京100032

出　　处：《科学技术与工程》2020年第33期13520-13528,共9页Science Technology and Engineering

基　　金：北京市自然科学基金(8192009)。

摘　　要：随着排水管道使用年限的增长及输水能力要求的提高,对排水管道进行状态评估已成为必须要做的工作,但管道状态评估很大程度上依靠管道的检测结果。为全面了解排水管道的检测方法,对目前用于排水管道检测的主要方法做了综述,分析了各检测方法的原理和特点,并介绍了基于计算机视觉和图像处理的自动化缺陷识别技术,对排水管道检测技术的发展前景进行了展望,认为闭路电视检测方法结合深度学习缺陷识别技术,可以实现排水管道检测领域的自动化和高效率,具有较好的应用前景。As the growth of the drainage pipeline service life and the improvement of water conveyance capacity,an assessment for drainage pipeline condition has necessity,but the pipeline condition assessment to a large extent depends on the test results of the pipeline.To get a comprehensive understanding of the drainage pipeline detection method,the current main methods for drainage pipeline detection were reviewed firstly.Then,principle and characteristics of each method were analyzed.The automatic defect detection based on computer vision and image processing technology was introduced,and prospects of drainage pipeline inspection technology were prospected.The closed-circuit television(CCTV)detection method combined with deep learning defect recognition technology can realize the automation and high efficiency in the field of drainage pipeline detection.It has a good application prospect.

关 键 词：排水管道 检测方法 缺陷识别 自动化 

分 类 号：TU992.4[建筑科学—市政工程]