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Design and Experiment of the Underwater Robotic Fish for Petroleum Pipeline Inspection System

  • Hui Li
  • Ruiqin LiEmail author
  • Jian Zhu
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 73)

Abstract

Aiming at the underwater robotic fish in the inspection process of petroleum pipeline, the paper presents a method of detecting the petroleum leakage point by using the single joint flexible caudal fin as a propeller and using the CMOS image sensor OV7725 to trace the trail. A 32 bit SCM MK60DN512 is used to drive camera work. The collected data are analyzed and processed. The real-time monitoring is carried out. The image denoising and light treatment are also carried out. The motion trajectory of the robotic fish is made to coincide with the pipeline to the maximum extent. The balance and the velocity stability of the robotic fish are improved by means of system optimization strategy. The test results show that the velocity of the robotic fish is fast and stable, and the accuracy of the pipeline inspection is high.

Keywords

Robotic fish Detection of petroleum leakage point Image processing Self-tracing Body and/or caudal fin (BCF) 

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Notes

Acknowledges

This research was supported by the Shanxi Key Research and Development Program and the Foundation of Shanxi Key Laboratory of Advanced Manufacturing Technology (Grant number XJZZ201702).

References

  1. 1.
    Siciliano B, Khatib O. Handbook of robotics. Springer, 2016: 797-798.Google Scholar
  2. 2.
    Faudzi A A M, Razif M R M, Nordin N A M, et al. A review on development of robotic fish. Journal of Transport System Engineering, 1(1): 12-22 (2014).Google Scholar
  3. 3.
    Zhou P J, Liu T, Zhou X H, et al. Overview of progress in development of the bionic underwater propulsion system. Journal of Biomimetics, Biomaterials and Biomedical Engineering, 32: 9-19 (2017).CrossRefGoogle Scholar
  4. 4.
    Li F, Zhang C W, Ding C X, et al. Oil pipeline detection competition strategy of underwater robot based on linear array CCD. Robot Technology and Application, (3): 46-48 (2016). (in Chinese)Google Scholar
  5. 5.
    Zhang X Y. Inspection scheme design and experiment research for small-diameter oil pipeline corrosion. Harbin: Harbin Institute of Technology, 2010. (in Chinese)Google Scholar
  6. 6.
    Shriyam S, Agrawal A, Behera L, et al. Robotic fish design and control based on biomechanics. 3th Int Conf on Advances in Control and Optimization of Dynamical Systems, Kanpur, India, March 13-15, 2014: 47(1): 662-669.Google Scholar
  7. 7.
    Yamamoto I, Terada Y. Research on flexible oscillating fin propulsion system and robotic fish. 2nd Int Symp on Aqua Bio-Mechanisms, 34(7): 119-123 (2001).CrossRefGoogle Scholar
  8. 8.
    Sfakiotakis M, Lane D M, Davies J B C. Review of fish swimming modes for aquatic locomotion. IEEE J Oceanic Eng, 24(2): 237-252 (1999).CrossRefGoogle Scholar
  9. 9.
    Saxena M, Chauhan N R. A review study on bio-inspired robotic fish. Int J Mechanisms and Robotic Systems, 4(1): 1-23(2017).CrossRefGoogle Scholar
  10. 10.
    Guo C Z. Optimal design and simulation of a virtual fish-like robot based on fish’s muscle model. Hefei: University of Science and Technology of China, 2007. (in Chinese)Google Scholar
  11. 11.
    Tang Lin. Experimental and numerical Simulation study on the Propulsion performance of Cyprinus Carpio. Hangzhou: Zhejiang University, 2015. (in Chinese)Google Scholar
  12. 12.
    Wang T M, Yang X B, Liang J H. A survey on bionic autonomous underwater vehicle propelled by median and/or paired fin mode. Robot, 35(3): 352-362 (2013). (in Chinese)CrossRefGoogle Scholar
  13. 13.
    Low K H, Chong C W, Zhou C L. Performance study of a fish robot propelled by a flexible caudal fin. IEEE Int Conf on Robotics and Automation (ICRA), 2010.Google Scholar
  14. 14.
    Xia L J. Design and application based on OV9620 CMOS camera. Qinhuangdao: Yanshan University, 2009. (in Chinese)Google Scholar
  15. 15.
    Li X D, Liao Z H, Meng J. Design and implementation of intelligent vehicle control system based on CMOS camera. Journal of China Ocean University, 31(4): 414-418 (2013). (in Chinese)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Mechanical EngineeringNorth University of ChinaTaiyuanChina
  2. 2.Department of Mining EngineeringLüliang UniversityLüliangChina

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