Authors:
Guilherme Coelho
1
;
Liliana Antão
1
;
Beatriz Coutinho
1
;
Gil Gonçalves
1
;
António Augusto
2
and
Miguel Moura
2
Affiliations:
1
SYSTEC ARISE, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
;
2
Idepa - Indústria de Passamanarias, Lda, Portugal
Keyword(s):
OPC-UA, Industry 4.0, Smart Object, Data Model.
Abstract:
This paper presents the development and implementation of a remote monitoring and control system for industrial machines, aligned with the principles of Industry 4.0. The proposed solution builds under the Advanced4i work package of the PRODUTECH R3 initiative, addressing key limitations in industrial digitalization scalability, responsiveness, and usability. A redesigned architecture is introduced, build upon a previous data model and architecture by Neto et al., featuring advanced communication protocols, a refactored LabVIEW-based interface, and a middleware layer to enhance data flow and synchronization. A structured data model and an optimized graphical user interface further enable real-time monitoring and remote configuration. The system was validated in a real-world deployment at IDEPA, a real manufacturing company a leader in the labels, tapes, and textile accessories markets , integrating over 30 sensors, and subsequently scaled to support up to 85 sensors with minimal data
loss and high responsiveness under operational stress. The results demonstrate capability of maintaining monitoring performance and scalability, offering a practical roadmap for the deployment of interoperable and modular Industry 4.0 solutions in manufacturing environments.
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