AI image analysis technologies for efficient water pipeline inspection

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Published Jan 12, 2024
Ying Piao Hiroshi Sukegawa Kenji Kimiyama Kensuke Nakamura Toshiharu Sugino Takaharu Kunizane Akira Koizumi

Abstract

Inspection of water pipelines with cameras under pressure is attracting attention. The inspection can be performed without digging the ground and water interruption by inserting a camera into aging water pipes while the water is flowing. However, the inspection has two problems: (1) a long-time visual check by expert engineers is required and (2) variations in the evaluation standards. To solve these problems, we have developed an AI image analysis system for automatically judging the state of degradation of water pipelines by using images captured from the in-pipe endoscope cameras. This report describes the developed technology and software to support the inspection work.

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Keywords

AI, Image analysis, pipline inspection, maintenance, endoscopy

References
Kawamura, W., Arai, A., Koizumi, A., Inakazu, T., Yokokawa, K., Kaji, K., Suzuki, K., Ariyohsi, H., & Moriyama, S. (2017). An Analysis of Pipeline Sensing Data Use for Detecting Water Leakage. Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research). doi 10.2208/jscejer.72.ii_187

Kunizane, T., Koizumi, A., Arai, Y., & Yamamoto, M. (2018). Evaluation Diagnosis of Water Distribution Pipeline Utilizing Inspection Results of In-Pipe Endoscope Camera, 1st International WDSA / CCWI 2018 Joint Conference, July 23-25, Canada. Japan Water Endoscope Camera Association. (2020). Water endoscope camera handbook, JAPAN.
Section
Regular Session Papers