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

Cachada, Ana; Barbosa, José; Leitão, Paulo; Alves, Americo; Alves, Leandro; Teixeira, João Manuel; Teixeira, Carlos

http://hdl.handle.net/10198/21263

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Authors

Teixeira, João Manuel

Teixeira, Carlos

Abstract(s)

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.

Keywords

Predictive maintenance IoT

URI

http://hdl.handle.net/10198/21263

Citation

Cachada, Ana; Barbosa, José; Leitão, Paulo; Alves, Americo; Alves, Leandro; Teixeira, Joao; Teixeira, Carlos (2019). Using internet of things technologies for an efficient data collection in maintenance 4.0. In IEEE International Conference on Industrial Cyber-Physical Systems (ICPS’19). Taiwan