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Research on Flow Field Perception Based on Artificial Lateral Line Sensor System
Guijie Liu1, Mengmeng Wang2, Anyi Wang3
1Department of Mechanical and Electrical Engineering & Key Laboratory of Ocean Engineering of Shang Dong Province, Ocean University of China, Qingdao 266100, China. liuguijie@ouc.edu.cn.
Sensors (Basel, Switzerland)
|March 15, 2018
Summary
Researchers developed an artificial lateral line system using micro-pressure sensors, mimicking fish. This biomimetic system effectively estimates flow velocity and recognizes obstacles in turbulent water.
Area of Science:
- Biomimetics
- Fluid Dynamics
- Sensor Technology
Background:
- Fish utilize their lateral line system to perceive hydrodynamic information for survival.
- Existing artificial systems lack the sensitivity and adaptability of natural fish lateral lines.
Purpose of the Study:
- To develop a biomimetic artificial lateral line system inspired by fish neuromasts.
- To enable flow velocity estimation, attitude perception, and obstacle recognition in aquatic environments.
Main Methods:
- Hydrodynamic simulations to optimize micro-pressure sensor structure.
- Development of pressure distribution models for uniform and turbulent flows.
- Underwater experiments to validate simulation results and system performance.
- Application of neural network algorithms for shape recognition.
Main Results:
- An optimized micro-pressure sensor structure was designed.
- Pressure distribution models were established and validated through experiments.
- Effective methods for flow velocity estimation and attitude perception in turbulent flow were demonstrated.
- Successful shape recognition of obstacles using a neural network algorithm.
Conclusions:
- The artificial lateral line system effectively mimics fish sensory capabilities.
- The developed system shows potential for underwater navigation and environmental sensing.
- Biomimetic approaches offer promising solutions for advanced aquatic sensing technologies.
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