Pipelines Monitoring System Using Bio-mimetic Robots

Recently there has been a growing interest in the field of bio-mimetic robots that resemble the behaviors of an insect or an aquatic animal, among many others. One of various bio-mimetic robot applications is to explore pipelines, spotting any troubled areas or malfunctions and reporting its data. Moreover, the robot is able to prepare for and react to any abnormal routes in the pipeline. Special types of mobile robots are necessary for the pipeline monitoring tasks. In order to move effectively along a pipeline, the robot-s movement will resemble that of insects or crawling animals. When situated in massive pipelines with complex routes, the robot places fixed sensors in several important spots in order to complete its monitoring. This monitoring task is to prevent a major system failure by preemptively recognizing any minor or partial malfunctions. Areas uncovered by fixed sensors are usually impossible to provide real-time observation and examination, and thus are dependent on periodical offline monitoring. This paper proposes a monitoring system that is able to monitor the entire area of pipelines–with and without fixed sensors–by using the bio-mimetic robot.

Authors:

• Seung You Na
• Daejung Shin
• Jin Young Kim
• Seong-Joon Baek
• Bae-Ho Lee

Keywords:

• Bio-mimetic robots
• Plant pipes monitoring
• Mobile and active monitoring.

References:

[1] J. Yu, M. Tan, S. Wang, and E. Chen, "Development of a biomimetic
robotic fish and its control algorithm,"IEEE Trans. on Systems, Man, and
Cybernetics-Part B, Vol. 34, pp. 1798-1810, 2004.
[2] D. Shin, S.Y. Na, J.Y. Kim, and S. Baek, "Water pollution monitoring
system by autonomous fish robots," WSEAS Trans. on SYSTEM and
CONTROL, Issue 1, Vol. 2, 2007, pp. 32-37.
[3] J. J. Gertler, Fault Detection and Diagnosis in Engineering Systems,
Marcel Deker, Inc, 1998.
[4] L. Lundgard, B. Skyberg, "Acoustic Diagnosis of SF6 Gas Insulated
Substations," IEEE Trans. Power Delivery, 1990.
[5] J. Lin and L. Qu, "Feature Extraction Based on Morlet Wavelet and Its
Application for Mechanical Fault Diagnosis," Journal of Sound and
Vibration, 2000, pp. 135-148.
[6] J. Shao, G. Xie, L. Wang, and W. Zhang, "Obstacle avoidance and path
planning based on flow field for biomimetics robotic fish," AI 2005, LNAI
3809, 2005, pp. 857-860.
[7] Ma, Zhanshan, Krings, Axel W., Hiromoto, Robert E. , "Dragonfly as a
model for UAV/MAV flight and communication controls", 2009 IEEE
Aerospace conference, pp.1-8, 2009.
[8] Stoianov, I., Nachman, L., Madden, S., Tokmouline, T., Csail, M.,
"PIPENET: A Wireless Sensor Network for Pipeline Monitoring", IPSN
2007, pp. 264 - 273, 2007.
[9] Changsoo Ok, Thadakamalla, H., Raghavan, U., Kumara, S., Sang-Gook
Kim, Xiang Zhang, Bukkapatnam S., "Optimal Transmission Power in
Self-sustainable Sensor Networks for Pipeline Monitoring", IEEE
International Conference on Automation Science and Engineering, pp.
591 - 596, 2007.
[10] Masataka Suzuki, Shinya Kitai, and Shigeo Hirose, "Basic Systematic
Experiments and New Type Child Unit of Anchor Climber: Swarm Type
Wall Climbing Robot System", 2008 IEEE International Conference on
Robotics and Automation, pp. 3034-3039, 2008.
[11] A. Sadeqi, H. Moradi, and M. Nili Ahmadabadi, "A Human-Inspired Pole
Climbing Robot", IROS 2008, pp. 4199 - 4199, 2008.
[12] J. Shao, G. Xie, L. Wang, and W. Zhang, "Obstacle avoidance and path
planning based on flow field for biomimetics robotic fish," AI 2005, LNAI
3809, 2005, pp. 857-860.
[13] R.J. Mammone, X. Zhang and R.P. Ramachandran, "Robust Speaker
Recognition: A Feature-based Approach," IEEE Signal Processing
Magazine, Vol. 13, No. 5, pp. 58-71, 1996.
[14] C. Schauer and H.M. Gross, "Model and application of a 360┬░ sound
localization system," Proceedings of the International Joint Conference
on Neural Networks, Vol. 2, pp. 1132-1137, 2001.