Abstract
The research addresses the critical need for efficient and cost-effective pipe inspection methods in modern infrastructure, focusing on the maintenance of water and gas delivery systems. The objective is to improve defect detection and maintenance processes in pipes, reducing downtime and operational costs. The proposed method involves deploying pipe inspection robots, with an emphasis on on-pipe robots tailored for specific applications such as urban gas lines, small feeder pipes, and sewer systems. These robots are categorized into seven sub-types, including wheel-type, inchworm-style, AI-powered sewer inspection, caterpillar-style, and helical motion robots, each designed for unique inspection challenges. A newly developed versatile on-pipe inspection robot is highlighted for its ability to inspect a variety of plastic and metal pipes in both horizontal and vertical orientations. This robot features a body, foreleg system, rear leg system, and springs, enabling smooth navigation through pipes. The performance of this robot shows substantial improvements in inspection efficiency and accuracy, proving its effectiveness as a modern solution for infrastructure maintenance.
References
- Yu, Hong, and Feng Shen. "Disparity estimation method of electric inspection robot based on lightweight neural network." In 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP), pp. 929-932. IEEE, 2021.
- Wu, Dalei, Dimitris Chatzigeorgiou, Kamal Youcef-Toumi, and Rached Ben-Mansour. "Node localization in robotic sensor networks for pipeline inspection." IEEE Transactions on Industrial Informatics 12, no. 2 (2015): 809-819.
- Horodinca, Mihaita, Ioan Doroftei, Emmanuel Mignon, and André Preumont. "A simple architecture for in-pipe inspection robots." In Proc. Int. Colloq. Mobile, Autonomous Systems, vol. 61, 2002: p. 64- 68.
- Gargade, Atul, Dhanraj Tambuskar, and Gajanan Thokal. "Modelling and analysis of pipe inspection robot." International Journal of Emerging Technology and Advanced Engineering 3, no. 5 (2013): 120-126.
- Li, Xin, Wuyi Yu, Xiao Lin, and S. S. Iyengar. "An optimization algorithm for the NP-hard 3D gallery guarding problem and its application on autonomous pipeline inspection." IEEE Transaction on Robotics (2011).
- Fuchs, Helmut V., and Rainer Riehle. "Ten years of experience with leak detection by acoustic signal analysis." Applied acoustics 33, no. 1 (1991): 1-19.
- Bracken, M., and O. Hunaidi. "Practical aspects of acoustical leak location on plastic and large diameter pipe." In Leakage 2005 Conference Proceedings, Halifax, NS, 2005.: pp. 448-452.
- Hunaidi, Osama, Wing Chu, Alex Wang, and Wei Guan. "Detecting leaks in plastic pipes." Journal‐American Water Works Association 92, no. 2 (2000): 82-94.
- Hunaidi, Osama, and Wing T. Chu. "Acoustical characteristics of leak signals in plastic water distribution pipes." Applied Acoustics 58, no. 3 (1999): 235-254.
- Mays, Larry W. "Water distribution systems handbook." (2000).
- Jackson, Robert B., Adrian Down, Nathan G. Phillips, Robert C. Ackley, Charles W. Cook, Desiree L. Plata, and Kaiguang Zhao. "Natural gas pipeline leaks across Washington, DC." Environmental science & technology 48, no. 3 (2014): 2051-2058.
- Shao, Lei, Yi Wang, Baozhu Guo, and Xiaoqi Chen. "A review over state of the art of in-pipe robot." In 2015 IEEE International Conference on Mechatronics and Automation (ICMA), IEEE, 2015 pp. 2180-2185.
- Yu, Leijian, Erfu Yang, Peng Ren, Cai Luo, Gordon Dobie, Dongbing Gu, and Xiutian Yan. "Inspection robots in oil and gas industry: a review of current solutions and future trends." In 2019 25th International Conference on Automation and Computing (ICAC), pp. 1-6. IEEE, 2019.
- R. Bradbeer, S.O. Harrold, B.L. Luk, Y. Li, L.F. Yeung and H.W. Ho, “A mobile robot for inspection of liquid filled pipes”, Workshop on Service Automation and Robotics, June 2000.