Using internet of things technologies for an efficient data collection in maintenance 4.0

The digital transformation in the manufacturing world raised an additional interest in data collection and connectivity, preferably to the one performed in real time. Internet of Things (IoT) and Machine to Machine (M2M) technologies allow the collection of the huge amount of generated data in the s...

ver descrição completa

Detalhes bibliográficos
Autor principal: Cachada, Ana (author)
Outros Autores: Barbosa, José (author), Leitão, Paulo (author), Alves, Americo (author), Alves, Leandro (author), Teixeira, João Manuel (author), Teixeira, Carlos (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2020
Assuntos:
Texto completo:http://hdl.handle.net/10198/21263
País:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/21263
Descrição
Resumo:The digital transformation in the manufacturing world raised an additional interest in data collection and connectivity, preferably to the one performed in real time. Internet of Things (IoT) and Machine to Machine (M2M) technologies allow the collection of the huge amount of generated data in the shop floor, at the desired rates and without any human intervention. This paper describes the application of IoT technologies to create an automatic data collection solution for an industrial metal stamping unit, supporting its posterior processing, aiming to develop monitoring, prediction and optimization in an industrial intelligent and predictive maintenance system.