Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind Farms
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/132613 |
Resumo: | In order to reduce the consumption of fossil fuels, investment in renewable energy sources, such as wind, has been increasing. The vast majority of wind farms are on land. However, the number of offshore wind farms is increasing. One of the technologies developed is the WindFloat, which is a semi-submersible structure with 3 floating columns that form a triangle, responsible for supporting the wind turbine. This accelerated maritime expansion requires the existence of adequate inspection and monitoring procedures. As WindFloat structures are located in a remote location on the sea and monitoring tasks are often repetitive, time consuming and potentially dangerous for human operators, these are ideal for being performed by autonomous robots, such as ASVs (Autonomous Surface Vehicle). ASVs are water vehicles that, as the name implies, travel on the surface, being equipped with sensors that give them the ability to locate themselves and to know the characteristics of the environment that surrounds them. To an ASV navigate in the vicinity of a WindFloat, a system for detecting and tracking its structure is required. this must operate in real time and be capable of responding safely. For this, it is required that the ASV has a system of relative location of high precision (centimeters) and that is based on the natural features of the surrounding environment. The use of GPS is not a viable option, not only because of its limited accuracy, but also because of the signal intermittence motivated by the proximity to the WindFloat metallic structure. In addition, it is also necessary to have a system for measuring and mapping danger areas in order to mitigate potential risks, both for the ASV itself and for the WindFloat. In order to fulfill the previously described objectives, a relative location algorithm was developed, in which each WindFloat column corresponds to a vertex of an equilateral triangle, used to obtain the location of the ASV by triangulation. These columns are detected by processing a point cloud collected by a LiDAR sensor. This processing consists of identifying the column and estimating the location of its center. This approach showed highly accuracy in the localization of the ASV. Its average euclidean error is of only 0.004 meters. The developed danger zone mapping algorithm took into account the current position and orientation of the ASV, as well as the influence of environmental factors, such as waves, sea currents and wind. In this way, it was possible to objectively classify the different danger areas, both for the ASV and for the WindFloat structure, in real time, reducing the risk of potential collisions between them. |
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Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind FarmsEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringIn order to reduce the consumption of fossil fuels, investment in renewable energy sources, such as wind, has been increasing. The vast majority of wind farms are on land. However, the number of offshore wind farms is increasing. One of the technologies developed is the WindFloat, which is a semi-submersible structure with 3 floating columns that form a triangle, responsible for supporting the wind turbine. This accelerated maritime expansion requires the existence of adequate inspection and monitoring procedures. As WindFloat structures are located in a remote location on the sea and monitoring tasks are often repetitive, time consuming and potentially dangerous for human operators, these are ideal for being performed by autonomous robots, such as ASVs (Autonomous Surface Vehicle). ASVs are water vehicles that, as the name implies, travel on the surface, being equipped with sensors that give them the ability to locate themselves and to know the characteristics of the environment that surrounds them. To an ASV navigate in the vicinity of a WindFloat, a system for detecting and tracking its structure is required. this must operate in real time and be capable of responding safely. For this, it is required that the ASV has a system of relative location of high precision (centimeters) and that is based on the natural features of the surrounding environment. The use of GPS is not a viable option, not only because of its limited accuracy, but also because of the signal intermittence motivated by the proximity to the WindFloat metallic structure. In addition, it is also necessary to have a system for measuring and mapping danger areas in order to mitigate potential risks, both for the ASV itself and for the WindFloat. In order to fulfill the previously described objectives, a relative location algorithm was developed, in which each WindFloat column corresponds to a vertex of an equilateral triangle, used to obtain the location of the ASV by triangulation. These columns are detected by processing a point cloud collected by a LiDAR sensor. This processing consists of identifying the column and estimating the location of its center. This approach showed highly accuracy in the localization of the ASV. Its average euclidean error is of only 0.004 meters. The developed danger zone mapping algorithm took into account the current position and orientation of the ASV, as well as the influence of environmental factors, such as waves, sea currents and wind. In this way, it was possible to objectively classify the different danger areas, both for the ASV and for the WindFloat structure, in real time, reducing the risk of potential collisions between them.2020-07-212020-07-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/132613TID:202594408porRafael Marques Claroinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:13:18Zoai:repositorio-aberto.up.pt:10216/132613Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:18:21.072104Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind Farms |
title |
Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind Farms |
spellingShingle |
Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind Farms Rafael Marques Claro Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
title_short |
Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind Farms |
title_full |
Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind Farms |
title_fullStr |
Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind Farms |
title_full_unstemmed |
Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind Farms |
title_sort |
Close-range Localization Based on Natural Features for Autonomous Surface Vehicles in Offshore Wind Farms |
author |
Rafael Marques Claro |
author_facet |
Rafael Marques Claro |
author_role |
author |
dc.contributor.author.fl_str_mv |
Rafael Marques Claro |
dc.subject.por.fl_str_mv |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
topic |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
description |
In order to reduce the consumption of fossil fuels, investment in renewable energy sources, such as wind, has been increasing. The vast majority of wind farms are on land. However, the number of offshore wind farms is increasing. One of the technologies developed is the WindFloat, which is a semi-submersible structure with 3 floating columns that form a triangle, responsible for supporting the wind turbine. This accelerated maritime expansion requires the existence of adequate inspection and monitoring procedures. As WindFloat structures are located in a remote location on the sea and monitoring tasks are often repetitive, time consuming and potentially dangerous for human operators, these are ideal for being performed by autonomous robots, such as ASVs (Autonomous Surface Vehicle). ASVs are water vehicles that, as the name implies, travel on the surface, being equipped with sensors that give them the ability to locate themselves and to know the characteristics of the environment that surrounds them. To an ASV navigate in the vicinity of a WindFloat, a system for detecting and tracking its structure is required. this must operate in real time and be capable of responding safely. For this, it is required that the ASV has a system of relative location of high precision (centimeters) and that is based on the natural features of the surrounding environment. The use of GPS is not a viable option, not only because of its limited accuracy, but also because of the signal intermittence motivated by the proximity to the WindFloat metallic structure. In addition, it is also necessary to have a system for measuring and mapping danger areas in order to mitigate potential risks, both for the ASV itself and for the WindFloat. In order to fulfill the previously described objectives, a relative location algorithm was developed, in which each WindFloat column corresponds to a vertex of an equilateral triangle, used to obtain the location of the ASV by triangulation. These columns are detected by processing a point cloud collected by a LiDAR sensor. This processing consists of identifying the column and estimating the location of its center. This approach showed highly accuracy in the localization of the ASV. Its average euclidean error is of only 0.004 meters. The developed danger zone mapping algorithm took into account the current position and orientation of the ASV, as well as the influence of environmental factors, such as waves, sea currents and wind. In this way, it was possible to objectively classify the different danger areas, both for the ASV and for the WindFloat structure, in real time, reducing the risk of potential collisions between them. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-21 2020-07-21T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/132613 TID:202594408 |
url |
https://hdl.handle.net/10216/132613 |
identifier_str_mv |
TID:202594408 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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