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A Practical Solution of a Plant Pipes Monitoring System Using Bio-mimetic Robots

Authors: Seung You Na, Daejung Shin, Jin Young Kim, Bae-Ho Lee, Ji-Sung Lee


There has been a growing interest in the field of bio-mimetic robots that resemble the shape of an insect or an aquatic animal, among many others. One bio-mimetic robot serves the purpose of exploring 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. In order to move effectively inside a pipeline, the robot-s movement will resemble that of a lizard. 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 dependant on periodical offline monitoring. This paper provides the Monitoring System that is able to monitor the entire area of pipelines–with and without fixed sensors–by using the bio-mimetic robot.

Keywords: Bio-mimetic robots, Plant pipes monitoring, Mobileand active monitoring

Digital Object Identifier (DOI):

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[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] P. Ranky, The Design and Operation of FMS, North-Holland Publishing Company, 1988.
[4] D. Zeltserman, A Practical Guide to SNMPv3 and Network Management, Prentice Hall, 1999.
[5] J. J. Gertler, Fault Detection and Diagnosis in Engineering Systems, Marcel Deker, Inc, 1998.
[6] L. Lundgard, B. Skyberg, "Acoustic Diagnosis of SF6 Gas Insulated Substations," IEEE Trans. Power Delivery, 1990.
[7] 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.
[8] 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.
[9] C.H. Knapp and G.C. Carter, "The Generalized Correlation Method for Estimation of Time Delay," Proceedings of the IEEE Trans. on Acoustic, Speech, and Signal Processing, Vol. 24, pp. 320-327, 1976.
[10] 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.
[11] Jin Young Kim, Byoung Don Kim and Seung You Na, "Estimation of Word Confidence Using Unscented Transform for the Rejection of Misrecognized Words," Proceedings of RO-MAN, Nashville, TN, USA, 2005, pp. 474-477.
[12] 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.