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Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle

Water is one of the most precious resources. However, industrial development has made water pollution a critical problem today and thus water quality monitoring and surface cleaning are essential for water resource protection. In this study, we have used the sensor fusion technology as a basis to de...

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Autores principales: Chang, Hsing-Cheng, Hsu, Yu-Liang, Hung, San-Shan, Ou, Guan-Ru, Wu, Jia-Ron, Hsu, Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914901/
https://www.ncbi.nlm.nih.gov/pubmed/33562712
http://dx.doi.org/10.3390/s21041102
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author Chang, Hsing-Cheng
Hsu, Yu-Liang
Hung, San-Shan
Ou, Guan-Ru
Wu, Jia-Ron
Hsu, Chuan
author_facet Chang, Hsing-Cheng
Hsu, Yu-Liang
Hung, San-Shan
Ou, Guan-Ru
Wu, Jia-Ron
Hsu, Chuan
author_sort Chang, Hsing-Cheng
collection PubMed
description Water is one of the most precious resources. However, industrial development has made water pollution a critical problem today and thus water quality monitoring and surface cleaning are essential for water resource protection. In this study, we have used the sensor fusion technology as a basis to develop a multi-function unmanned surface vehicle (MF-USV) for obstacle avoidance, water-quality monitoring, and water surface cleaning. The MF-USV comprises a USV control unit, a locomotion module, a positioning module, an obstacle avoidance module, a water quality monitoring system, a water surface cleaning system, a communication module, a power module, and a remote human–machine interface. We equip the MF-USV with the following functions: (1) autonomous obstacle detection, avoidance, and navigation positioning, (2) water quality monitoring, sampling, and positioning, (3) water surface detection and cleaning, and (4) remote navigation control and real-time information display. The experimental results verified that when the floating garbage located in the visual angle ranged from −30° to 30° on the front of the MF-USV and the distances between the floating garbage and the MF-USV were 40 and 70 cm, the success rates of floating garbage detection are all 100%. When the distance between the floating garbage and the MF-USV was 130 cm and the floating garbage was located on the left side (15°~30°), left front side (0°~15°), front side (0°), right front side (0°~15°), and the right side (15°~30°), the success rates of the floating garbage collection were 70%, 92%, 95%, 95%, and 75%, respectively. Finally, the experimental results also verified that the applications of the MF-USV and relevant algorithms to obstacle avoidance, water quality monitoring, and water surface cleaning were effective.
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spelling pubmed-79149012021-03-01 Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle Chang, Hsing-Cheng Hsu, Yu-Liang Hung, San-Shan Ou, Guan-Ru Wu, Jia-Ron Hsu, Chuan Sensors (Basel) Article Water is one of the most precious resources. However, industrial development has made water pollution a critical problem today and thus water quality monitoring and surface cleaning are essential for water resource protection. In this study, we have used the sensor fusion technology as a basis to develop a multi-function unmanned surface vehicle (MF-USV) for obstacle avoidance, water-quality monitoring, and water surface cleaning. The MF-USV comprises a USV control unit, a locomotion module, a positioning module, an obstacle avoidance module, a water quality monitoring system, a water surface cleaning system, a communication module, a power module, and a remote human–machine interface. We equip the MF-USV with the following functions: (1) autonomous obstacle detection, avoidance, and navigation positioning, (2) water quality monitoring, sampling, and positioning, (3) water surface detection and cleaning, and (4) remote navigation control and real-time information display. The experimental results verified that when the floating garbage located in the visual angle ranged from −30° to 30° on the front of the MF-USV and the distances between the floating garbage and the MF-USV were 40 and 70 cm, the success rates of floating garbage detection are all 100%. When the distance between the floating garbage and the MF-USV was 130 cm and the floating garbage was located on the left side (15°~30°), left front side (0°~15°), front side (0°), right front side (0°~15°), and the right side (15°~30°), the success rates of the floating garbage collection were 70%, 92%, 95%, 95%, and 75%, respectively. Finally, the experimental results also verified that the applications of the MF-USV and relevant algorithms to obstacle avoidance, water quality monitoring, and water surface cleaning were effective. MDPI 2021-02-05 /pmc/articles/PMC7914901/ /pubmed/33562712 http://dx.doi.org/10.3390/s21041102 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chang, Hsing-Cheng
Hsu, Yu-Liang
Hung, San-Shan
Ou, Guan-Ru
Wu, Jia-Ron
Hsu, Chuan
Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle
title Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle
title_full Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle
title_fullStr Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle
title_full_unstemmed Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle
title_short Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle
title_sort autonomous water quality monitoring and water surface cleaning for unmanned surface vehicle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914901/
https://www.ncbi.nlm.nih.gov/pubmed/33562712
http://dx.doi.org/10.3390/s21041102
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