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Monitoring IoT platform for the aerospace manufacturing industry

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Detalhes bibliográficos
Resumo:The maturation of IoT and CPS technologies has attracted the attention of many governments and companies worldwide due to their potential to optimize industrial processes in multiple ways. In this context, enhancing monitoring and controlling of production lines is of particular interest as a fundamental step towards smart manufacturing and product delivery. This work is focused on developing a solution for integrating these technologies into the demanding field of the aerospace industry. Aspects such as measuring the time of the production line stages are essential for assessing the company's productivity, as manual monitoring methods are limited and prone to errors. This paper presents the design, development and analysis of an IoT system prototype that complements the monitoring methods already in place, in order to improve the quality of monitoring data assisting the production process.
Autores principais:Rodrigues, Daniel Souto
Outros Autores:Carvalho, Paulo; Rito Lima, Solange; Lima, Emanuel Ribeiro; Lopes, Nuno Vasco
Assunto:Cyber-physical systems Internet of things Manufacturing industry
Ano:2021
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:The maturation of IoT and CPS technologies has attracted the attention of many governments and companies worldwide due to their potential to optimize industrial processes in multiple ways. In this context, enhancing monitoring and controlling of production lines is of particular interest as a fundamental step towards smart manufacturing and product delivery. This work is focused on developing a solution for integrating these technologies into the demanding field of the aerospace industry. Aspects such as measuring the time of the production line stages are essential for assessing the company's productivity, as manual monitoring methods are limited and prone to errors. This paper presents the design, development and analysis of an IoT system prototype that complements the monitoring methods already in place, in order to improve the quality of monitoring data assisting the production process.