The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2020
Session ID : 2P1-N15
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Research on estimating state of water quality by Unmanned Surface Vehicle
*Juichi KAMIYAMASyunya TOKUMARUShinya FUKUMOTOMasayuki KASHIMAMutsumi WATANABETaro KAKINUMATetsuya TANEDA
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Abstract

Recently, drone technology has developed rapidly, expected to play an active part in various fields. Focusing on USV, its usefulness is increasing mainly in the coastal area, such as feeding and red tide damage countermeasures. Survey on turbidity and drifting sand phenomenon is important. Used for water quality control and beach erosion detection. Traditional methods of turbidity and drifting sand phenomenon are expensive and time-consuming. Furthermore, the beach topography changes frequently due to typhoons, etc. It is necessary to improve the efficiency of wide-area surveys. This paper proposes new water turbidity and drifting sand estimation method of coastal area using USV. Estimate turbidity by comparing underwater images of a reference point and an observation point. In addition, by separating the movement of the wave and the movement of the density, the direction and speed are calculated, and the littoral-drift estimation is performed. Experimental results have shown the effective of the underwater images area division, and temporal change of brightness.

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© 2020 The Japan Society of Mechanical Engineers
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