[1]刘玉贤,叶绍泽,吕兵,等.排水管网缺陷智能检测的信息化解决方案[J].中国给水排水,2021,37(8):32-36.
LIU Yu-xian,YE Shao-ze,Lü Bing,et al.Information Solution for Intelligent Detection of Drainage Pipe Network Defects[J].China Water & Wastewater,2021,37(8):32-36.
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LIU Yu-xian,YE Shao-ze,Lü Bing,et al.Information Solution for Intelligent Detection of Drainage Pipe Network Defects[J].China Water & Wastewater,2021,37(8):32-36.
排水管网缺陷智能检测的信息化解决方案
中国给水排水[ISSN:1000-4062/CN:12-1073/TU]
卷:
第37卷
期数:
2021年第8期
页码:
32-36
栏目:
出版日期:
2021-04-17
- Title:
- Information Solution for Intelligent Detection of Drainage Pipe Network Defects
- Keywords:
- drainage pipe detection; CCTV video detection; convolutional neural network; de-redundancy
- 摘要:
- 排水管网是城市的重要基础设施之一，也是城市地下空间的重要组成部分。排水管网的安全运行直接关系到城市的公共安全，排水管道缺陷检测也越来越受到人们的重视。近些年来，基于卷积神经网络的人工智能技术在图像识别中取得了巨大成功，受此启发，提出了一种基于卷积神经网络的排水管道缺陷的智能检测方法，围绕该方法设计并实现了一个完整的信息化解决方案，以提高管道缺陷检测的自动化和智能化。该方案已经在深圳市的排水管道检测中得到广泛的应用和验证，其在缺陷的召回率以及识别速度上均满足了排水管道缺陷智能检测的需要，节省了人力，极大提高了检测作业的效率。
- Abstract:
- As one of the infrastructures in the city, sewer network is an important part of underground space, too. Since the safety operation of the sewer network is related to the urban public safety, the defect detection of sewer has received more attention. Enlightened by the success of the CNN (Convolutional Neural Network) in the image recognition, this paper proposed a CNN-based sewer defect detection method and designed an information solution program to improve the intelligence and automation of the sewer defect detection. This program has been proven to be effective, which is widely used for sewer detection in Shenzhen. The defect recall and run-time meet the requirements of the sewer defect detection, which greatly saves manpower and improves the efficiency of detection.
更新日期/Last Update:
2021-04-17