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 8):32-36.
Information Solution for Intelligent Detection of Drainage Pipe Network Defects
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第37卷
Number:
8 8
Page:
32-36
Column:
Date of publication:
2021-04-17
- Keywords:
- drainage pipe detection; CCTV video detection; convolutional neural network; de-redundancy
- 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.
Last Update:
2021-04-17