Data Analysis in Automotive Industrial Cells

Detalhes bibliográficos
Autor(a) principal: Martins, Renato Jorge Marçal
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/91648
Resumo: The manufacturing industry always has been one of the leading energy consumers, so companies in this area are always trying to use the best tools provided by the evolution of the technology, to analyse and lower the production costs. Many known studies don’t mind inconveniences such as stopping the production of the factory to perform studies or deep architecture improvements in the transport system. The proposed solution offers two different sets of tools. A device adapter, that targets the gather and storage of data, from industrial robotic cells devices, being the main requirement for a data analysis application, and a data analysis system, that analyses the stored data, without changing the existing production model. The analysis procedure aims the energy usage of a cell and its robot, and the duration of the executed processes. This solution was tested in two different robotic cells, that execute the same process. Multiple executions with different robot velocities were performed in order to gather the required data to provide an analysis and the conclusion was that, for both cells, the energy usage for each executed product was lower when the robot speed was higher, and that one of the cells is more efficient that other cell when executing at high speed but less efficient on lower velocities.
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spelling Data Analysis in Automotive Industrial Cellsmanufacturingenergydata analysisoptimisationDomínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaThe manufacturing industry always has been one of the leading energy consumers, so companies in this area are always trying to use the best tools provided by the evolution of the technology, to analyse and lower the production costs. Many known studies don’t mind inconveniences such as stopping the production of the factory to perform studies or deep architecture improvements in the transport system. The proposed solution offers two different sets of tools. A device adapter, that targets the gather and storage of data, from industrial robotic cells devices, being the main requirement for a data analysis application, and a data analysis system, that analyses the stored data, without changing the existing production model. The analysis procedure aims the energy usage of a cell and its robot, and the duration of the executed processes. This solution was tested in two different robotic cells, that execute the same process. Multiple executions with different robot velocities were performed in order to gather the required data to provide an analysis and the conclusion was that, for both cells, the energy usage for each executed product was lower when the robot speed was higher, and that one of the cells is more efficient that other cell when executing at high speed but less efficient on lower velocities.Oliveira, JoséRocha, AndréRUNMartins, Renato Jorge Marçal2020-01-23T15:38:50Z2019-0620192019-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/91648enginfo: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:RCAAP2024-03-11T04:40:48Zoai:run.unl.pt:10362/91648Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:24.279547Repositório 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 Data Analysis in Automotive Industrial Cells
title Data Analysis in Automotive Industrial Cells
spellingShingle Data Analysis in Automotive Industrial Cells
Martins, Renato Jorge Marçal
manufacturing
energy
data analysis
optimisation
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
title_short Data Analysis in Automotive Industrial Cells
title_full Data Analysis in Automotive Industrial Cells
title_fullStr Data Analysis in Automotive Industrial Cells
title_full_unstemmed Data Analysis in Automotive Industrial Cells
title_sort Data Analysis in Automotive Industrial Cells
author Martins, Renato Jorge Marçal
author_facet Martins, Renato Jorge Marçal
author_role author
dc.contributor.none.fl_str_mv Oliveira, José
Rocha, André
RUN
dc.contributor.author.fl_str_mv Martins, Renato Jorge Marçal
dc.subject.por.fl_str_mv manufacturing
energy
data analysis
optimisation
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
topic manufacturing
energy
data analysis
optimisation
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
description The manufacturing industry always has been one of the leading energy consumers, so companies in this area are always trying to use the best tools provided by the evolution of the technology, to analyse and lower the production costs. Many known studies don’t mind inconveniences such as stopping the production of the factory to perform studies or deep architecture improvements in the transport system. The proposed solution offers two different sets of tools. A device adapter, that targets the gather and storage of data, from industrial robotic cells devices, being the main requirement for a data analysis application, and a data analysis system, that analyses the stored data, without changing the existing production model. The analysis procedure aims the energy usage of a cell and its robot, and the duration of the executed processes. This solution was tested in two different robotic cells, that execute the same process. Multiple executions with different robot velocities were performed in order to gather the required data to provide an analysis and the conclusion was that, for both cells, the energy usage for each executed product was lower when the robot speed was higher, and that one of the cells is more efficient that other cell when executing at high speed but less efficient on lower velocities.
publishDate 2019
dc.date.none.fl_str_mv 2019-06
2019
2019-06-01T00:00:00Z
2020-01-23T15:38:50Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/91648
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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)
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