Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783657112130289664 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7914901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT changhsingcheng autonomouswaterqualitymonitoringandwatersurfacecleaningforunmannedsurfacevehicle AT hsuyuliang autonomouswaterqualitymonitoringandwatersurfacecleaningforunmannedsurfacevehicle AT hungsanshan autonomouswaterqualitymonitoringandwatersurfacecleaningforunmannedsurfacevehicle AT ouguanru autonomouswaterqualitymonitoringandwatersurfacecleaningforunmannedsurfacevehicle AT wujiaron autonomouswaterqualitymonitoringandwatersurfacecleaningforunmannedsurfacevehicle AT hsuchuan autonomouswaterqualitymonitoringandwatersurfacecleaningforunmannedsurfacevehicle |