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Sensors 2018, 18(3), 838; https://doi.org/10.3390/s18030838

Research on Flow Field Perception Based on Artificial Lateral Line Sensor System

1
Department of Mechanical and Electrical Engineering & Key Laboratory of Ocean Engineering of Shang Dong Province, Ocean University of China, Qingdao 266100, China
2
Department of Electrical, Electronic & Computer Engineering, University of Pretoria, Pretoria 0002, South Africa
3
School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong 2522, NSW, Australia
*
Authors to whom correspondence should be addressed.
Received: 7 February 2018 / Revised: 26 February 2018 / Accepted: 3 March 2018 / Published: 11 March 2018

Abstract

In nature, the lateral line of fish is a peculiar and important organ for sensing the surrounding hydrodynamic environment, preying, escaping from predators and schooling. In this paper, by imitating the mechanism of fish lateral canal neuromasts, we developed an artificial lateral line system composed of micro-pressure sensors. Through hydrodynamic simulations, an optimized sensor structure was obtained and the pressure distribution models of the lateral surface were established in uniform flow and turbulent flow. Carrying out the corresponding underwater experiment, the validity of the numerical simulation method is verified by the comparison between the experimental data and the simulation results. In addition, a variety of effective research methods are proposed and validated for the flow velocity estimation and attitude perception in turbulent flow, respectively and the shape recognition of obstacles is realized by the neural network algorithm. View Full-Text
Keywords: artificial lateral line system; hydrodynamic simulation; flow field perception; velocity estimation; neural network artificial lateral line system; hydrodynamic simulation; flow field perception; velocity estimation; neural network
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Liu, G.; Wang, M.; Wang, A.; Wang, S.; Yang, T.; Malekian, R.; Li, Z. Research on Flow Field Perception Based on Artificial Lateral Line Sensor System. Sensors 2018, 18, 838.

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