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Retrofitting of legacy machines in the context of Industrial Internet of Things (IIoT)
Kolla, Sri Sudha Vijay Keshav; Machado Lourenço, Diogo; Plapper, Peter
2022In Procedia Computer Science, 200, p. 62-70
Peer reviewed
 

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Keywords :
Retrofitting; IIoT; Industry 4.0
Abstract :
[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.
Research center :
Department of Engineering
Disciplines :
Mechanical engineering
Author, co-author :
Kolla, Sri Sudha Vijay Keshav ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Machado Lourenço, Diogo ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Plapper, Peter ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
External co-authors :
no
Language :
English
Title :
Retrofitting of legacy machines in the context of Industrial Internet of Things (IIoT)
Publication date :
08 February 2022
Event name :
3rd International Conference on Industry 4.0 and Smart Manufacturing
Event organizer :
Upper Austria University of Applied Sciences - Hagenberg Campus
Event place :
Linz, Austria
Event date :
17-19 November 2021
Audience :
International
Journal title :
Procedia Computer Science
ISSN :
1877-0509
Publisher :
Elsevier, Amsterdam, Netherlands
Volume :
200
Pages :
62-70
Peer reviewed :
Peer reviewed
Name of the research project :
PRODPILOT
Funders :
INTERREG V
Available on ORBilu :
since 08 April 2022

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