Automated detection of surface defects in water and sewer pipes |
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| Affiliation: | 1. Yellow River Laboratory, Zhengzhou University, Zhengzhou 450001, China;2. National Local Joint Engineering Laboratory of Major Infrastructure Testing and Rehabilitation Technology, Zhengzhou 450001, China;3. Collaborative Innovation Center of Water Conservancy and Transportation Infrastructure Safety, Henan Province, Zhengzhou 450001, China;4. Harbin Institute of Technology National Engineering Research Center of Urban Water Resources Co., Ltd., Harbin 150000, China;5. Guangdong Yuehai Water Investment Co., Ltd., Guangdong 510000, China |
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| Abstract: | Automation is gaining momentum in industry, particularly in rehabilitation and inspection works of underground infrastructure facilities. This paper describes a model for automating inspection and identification of surface defects in underground water and sewer pipes. The paper describes the current efforts in identification of surface defects in underground water and sewer mains, and presents an automated system designed to assist infrastructure engineers in diagnosing defects in this class of pipe networks. It describes the general architecture of the system and its basic components, and focuses primarily on four modules designed for automating image acquisition, image processing, features extraction and classification of defects. |
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