Industrial data provider for consumption of augmented reality devices
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2022 |
| Tipo de documento: | Dissertação |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10773/34932 |
Resumo: | In response to the fourth industrial revolution, Bosch TT and the University of Aveiro (UA) started the Augmanity project, which aims to use innovative technologies such as Augmented Reality, IIoT, 5G, BigData and AI and Machine Learning, and apply them in the Portuguese business structure. This internship was inserted in the PPS4 subproject of the Augmanity project, specifically in the supply of data to be consumed by AR devices. The AR case studies will affect several areas of the company’s value stream, from parts production machines to improving the efficiency of final lines, always with the aim of improving human performance. The complexity of this task comes from the fact that the necessary information comes from several different sources: the production line, Nexeed MES and SAP ERP, and the criterion that the information is accessed in real-time. The proposed system involves the creation of a web service that will provide all data available in a standardized way to be consumed by AR devices, like mobile phones, tablets and AR Glasses. For this, the developed system can access databases, Message Brokers and other web services and has a REST API architecture, developed in ASP.NET, to be able to transmit the data to the AR devices. In the end, industrial data provider was implemented on Bosch’s internal network, managing to supply most of the data required by AR case studies. The web service underwent load tests to measure the wait times of the AR devices, obtaining satisfactory results and fulfilling the requirements of real-time communication. |
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Industrial data provider for consumption of augmented reality devicesREST APINET frameworkWeb serviceIndustry 4.0Apache kafka brokerDatabasesIn response to the fourth industrial revolution, Bosch TT and the University of Aveiro (UA) started the Augmanity project, which aims to use innovative technologies such as Augmented Reality, IIoT, 5G, BigData and AI and Machine Learning, and apply them in the Portuguese business structure. This internship was inserted in the PPS4 subproject of the Augmanity project, specifically in the supply of data to be consumed by AR devices. The AR case studies will affect several areas of the company’s value stream, from parts production machines to improving the efficiency of final lines, always with the aim of improving human performance. The complexity of this task comes from the fact that the necessary information comes from several different sources: the production line, Nexeed MES and SAP ERP, and the criterion that the information is accessed in real-time. The proposed system involves the creation of a web service that will provide all data available in a standardized way to be consumed by AR devices, like mobile phones, tablets and AR Glasses. For this, the developed system can access databases, Message Brokers and other web services and has a REST API architecture, developed in ASP.NET, to be able to transmit the data to the AR devices. In the end, industrial data provider was implemented on Bosch’s internal network, managing to supply most of the data required by AR case studies. The web service underwent load tests to measure the wait times of the AR devices, obtaining satisfactory results and fulfilling the requirements of real-time communication.Em resposta à quarta revolução industrial, a Bosch TT e a Universidade de Aveiro (UA) iniciaram o projeto Augmanity que visa a utilizar tecnologias inovadoras como Realidade Aumentada, IIoT, 5G, BigData e AI and Machine Learning, e aplicá-las na estrutura empresarial portuguesa. Este estágio inseriu-se no subprojecto PPS4 do projeto Augmanity, mais propriamente no fornecimento de dados para serem consumidos por dispositivos de RA. Os casos de estudo de RA irão afetar diversas áreas do fluxo de valor da empresa, desde máquinas de produção de peças, até à melhoria de eficiência de linhas finais, sempre com o intuito de melhorar a performance humana. A complexidade desta tarefa advém de a informação necessária ser proveniente de várias fontes diferentes: a linha de produção, o Nexeed MES e o SAP ERP, juntamente com o critério da informação ser acedida em tempo real. O sistema proposto envolve a criação de um serviço web que fornecerá todos os dados industriais de uma forma normalizada para serem consumidos pelos dispositivos de Realidade Aumentada, entre estes poderão ser telemóveis, tablets e AR Glasses. Para isso, o fornecedor de dados industriais desenvolvido é capaz de aceder a base de dados, Message Brokers e outros serviços web e possuí uma arquitetura de REST API, desenvolvida em ASP.NET, para conseguir transmitir os dados para os dispositivos de Realidade Aumentada. No final, o sistema foi implementado na rede interna da Bosch, conseguindo devolver maioria dos dados requeridos pelos casos de estudo de RA. O serviço web sofreu testes de carga, para medir os tempos de espera dos dispositivos de RA, obtendo resultados satisfatórios e cumprindo os requerimentos de comunicação em tempo real.2022-10-18T14:23:56Z2022-08-11T00:00:00Z2022-08-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/34932engBaptista, Joel Fernando Bastosinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:39:55Zoai:ria.ua.pt:10773/34932Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:16:21.037765Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Industrial data provider for consumption of augmented reality devices |
| title |
Industrial data provider for consumption of augmented reality devices |
| spellingShingle |
Industrial data provider for consumption of augmented reality devices Baptista, Joel Fernando Bastos REST API NET framework Web service Industry 4.0 Apache kafka broker Databases |
| title_short |
Industrial data provider for consumption of augmented reality devices |
| title_full |
Industrial data provider for consumption of augmented reality devices |
| title_fullStr |
Industrial data provider for consumption of augmented reality devices |
| title_full_unstemmed |
Industrial data provider for consumption of augmented reality devices |
| title_sort |
Industrial data provider for consumption of augmented reality devices |
| author |
Baptista, Joel Fernando Bastos |
| author_facet |
Baptista, Joel Fernando Bastos |
| author_role |
author |
| dc.contributor.author.fl_str_mv |
Baptista, Joel Fernando Bastos |
| dc.subject.por.fl_str_mv |
REST API NET framework Web service Industry 4.0 Apache kafka broker Databases |
| topic |
REST API NET framework Web service Industry 4.0 Apache kafka broker Databases |
| description |
In response to the fourth industrial revolution, Bosch TT and the University of Aveiro (UA) started the Augmanity project, which aims to use innovative technologies such as Augmented Reality, IIoT, 5G, BigData and AI and Machine Learning, and apply them in the Portuguese business structure. This internship was inserted in the PPS4 subproject of the Augmanity project, specifically in the supply of data to be consumed by AR devices. The AR case studies will affect several areas of the company’s value stream, from parts production machines to improving the efficiency of final lines, always with the aim of improving human performance. The complexity of this task comes from the fact that the necessary information comes from several different sources: the production line, Nexeed MES and SAP ERP, and the criterion that the information is accessed in real-time. The proposed system involves the creation of a web service that will provide all data available in a standardized way to be consumed by AR devices, like mobile phones, tablets and AR Glasses. For this, the developed system can access databases, Message Brokers and other web services and has a REST API architecture, developed in ASP.NET, to be able to transmit the data to the AR devices. In the end, industrial data provider was implemented on Bosch’s internal network, managing to supply most of the data required by AR case studies. The web service underwent load tests to measure the wait times of the AR devices, obtaining satisfactory results and fulfilling the requirements of real-time communication. |
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2022 |
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2022-10-18T14:23:56Z 2022-08-11T00:00:00Z 2022-08-11 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
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http://hdl.handle.net/10773/34932 |
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eng |
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openAccess |
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application/pdf |
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