Automatic sampling of seawater quality based on electric propulsion unmanned ship

In many sea areas, toxic and harmful chemicals vastly exceed the standard, which not only has had a very bad impact on the survival of marine organisms, but also damages the safety of edible groundwater. With the continuous development of artificial intelligence and deep learning, the most efficient...

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Autor principal:	Tao Xu
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	automatic sampling electric propulsion seawater unmanned ship water quality monitoring Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/eabc2057d70a49279cf2ad37f00587a4
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id	oai:doaj.org-article:eabc2057d70a49279cf2ad37f00587a4
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spelling	oai:doaj.org-article:eabc2057d70a49279cf2ad37f00587a42021-12-02T07:41:30ZAutomatic sampling of seawater quality based on electric propulsion unmanned ship0273-12231996-973210.2166/wst.2021.329https://doaj.org/article/eabc2057d70a49279cf2ad37f00587a42021-11-01T00:00:00Zhttp://wst.iwaponline.com/content/84/10-11/3346https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732In many sea areas, toxic and harmful chemicals vastly exceed the standard, which not only has had a very bad impact on the survival of marine organisms, but also damages the safety of edible groundwater. With the continuous development of artificial intelligence and deep learning, the most efficient and safe method to detect seawater is with unmanned ship. By processing and fusing the images transmitted by the two radars, the common advantages of the two sensors are integrated, and the comprehensiveness of the unmanned aerial vehicle's (UAV;s) perception of the surrounding environment is improved. In order to improve the accuracy and safety of UAV offshore operations, this study designed an electric propulsion unmanned ship and its automatic control system according to the requirements of water quality sampling. Based on the small body theory, the model of an unmanned ship with the least resistance and the best safety is designed. According to the requirements of water quality sampling in sea areas, the vessel was equipped with collection and analysis systems to measure six elements of water quality. The Realizable k-e turbulence model was used to simulate the self-recovery ability of an unmanned ship under wave disturbance. Theoretically, the unmanned ship can achieve self-righting in 4.25 s. For actual navigation, the unmanned ship can effectively avoid obstacles, and the basic information on seawater quality was within the specified range. The unmanned ship constructed in this study can be used as an auxiliary tool for water quality detection. Compared with various study methods, the proposed method obtained a better performance. HIGHLIGHTS Electric propulsion; Unmanned ship; Water quality monitoring; Automatic sampling; Seawater;Tao XuIWA Publishingarticleautomatic samplingelectric propulsionseawaterunmanned shipwater quality monitoringEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 10-11, Pp 3346-3358 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	automatic sampling electric propulsion seawater unmanned ship water quality monitoring Environmental technology. Sanitary engineering TD1-1066
spellingShingle	automatic sampling electric propulsion seawater unmanned ship water quality monitoring Environmental technology. Sanitary engineering TD1-1066 Tao Xu Automatic sampling of seawater quality based on electric propulsion unmanned ship
description	In many sea areas, toxic and harmful chemicals vastly exceed the standard, which not only has had a very bad impact on the survival of marine organisms, but also damages the safety of edible groundwater. With the continuous development of artificial intelligence and deep learning, the most efficient and safe method to detect seawater is with unmanned ship. By processing and fusing the images transmitted by the two radars, the common advantages of the two sensors are integrated, and the comprehensiveness of the unmanned aerial vehicle's (UAV;s) perception of the surrounding environment is improved. In order to improve the accuracy and safety of UAV offshore operations, this study designed an electric propulsion unmanned ship and its automatic control system according to the requirements of water quality sampling. Based on the small body theory, the model of an unmanned ship with the least resistance and the best safety is designed. According to the requirements of water quality sampling in sea areas, the vessel was equipped with collection and analysis systems to measure six elements of water quality. The Realizable k-e turbulence model was used to simulate the self-recovery ability of an unmanned ship under wave disturbance. Theoretically, the unmanned ship can achieve self-righting in 4.25 s. For actual navigation, the unmanned ship can effectively avoid obstacles, and the basic information on seawater quality was within the specified range. The unmanned ship constructed in this study can be used as an auxiliary tool for water quality detection. Compared with various study methods, the proposed method obtained a better performance. HIGHLIGHTS Electric propulsion; Unmanned ship; Water quality monitoring; Automatic sampling; Seawater;
format	article
author	Tao Xu
author_facet	Tao Xu
author_sort	Tao Xu
title	Automatic sampling of seawater quality based on electric propulsion unmanned ship
title_short	Automatic sampling of seawater quality based on electric propulsion unmanned ship
title_full	Automatic sampling of seawater quality based on electric propulsion unmanned ship
title_fullStr	Automatic sampling of seawater quality based on electric propulsion unmanned ship
title_full_unstemmed	Automatic sampling of seawater quality based on electric propulsion unmanned ship
title_sort	automatic sampling of seawater quality based on electric propulsion unmanned ship
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/eabc2057d70a49279cf2ad37f00587a4
work_keys_str_mv	AT taoxu automaticsamplingofseawaterqualitybasedonelectricpropulsionunmannedship
_version_	1718399253670264832

Automatic sampling of seawater quality based on electric propulsion unmanned ship

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