Reference : Retrofitting of legacy machines in the context of Industrial Internet of Things (IIoT)
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/10993/50793
Retrofitting of legacy machines in the context of Industrial Internet of Things (IIoT)
English
Kolla, Sri Sudha Vijay Keshav mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Machado Lourenço, Diogo mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Plapper, Peter mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
8-Feb-2022
Procedia Computer Science
Elsevier
200
62-70
Yes
No
International
1877-0509
1877-0509
Amsterdam
Netherlands
3rd International Conference on Industry 4.0 and Smart Manufacturing
17-19 November 2021
Upper Austria University of Applied Sciences - Hagenberg Campus
Linz
Austria
[en] Retrofitting ; IIoT ; Industry 4.0
[en] In the context of Industry 4.0 (I 4.0), one of the most important aspects is data, followed by the capital required to deploy advanced technologies. However, most Small and Medium Enterprises (SMEs) are neither data ready nor have the capital to upgrade their existing machinery. In SMEs, most of the legacy machines do not have data gathering capabilities. In this scenario, the concept of retrofitting the existing machinery with sensors and building an Industrial Internet of Things (IIoT) is more beneficial than upgrading the equipment to newer machinery. The current research paper proposes a simple architecture on retrofitting a legacy machine with external sensors for data collection and feeding the cloud-based databases for analysis/monitoring purposes. The design and functional aspects of the architecture are then tested in a laboratory environment on a drilling machine with no embedded sensors. Data related to the speed of the drill head and the bore depth are collected using newly retrofitted sensors to validate the proposed architecture.
Department of Engineering
INTERREG V
PRODPILOT
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/50793
10.1016/j.procs.2022.01.205
https://www.sciencedirect.com/science/article/pii/S1877050922002149#!
The original publication is available at - https://www.sciencedirect.com/science/article/pii/S1877050922002149#!

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