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April 15, 2026Machines0 citationsOpen Access

Digital Twin of a Material Handling System Based on a Physical Construction-Kit Model for Educational Applications

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LRLadislav RigóJFJana FabianováLČLucia Čabaníková

Key Points

  • The aim is to design and verify a digital twin of a laboratory material handling system for educational use.
  • Developed a virtual model using Tecnomatix Plant Simulation.
  • Connected to a physical system controlled by Siemens PLC SIMATIC S7-1200.
  • Established bidirectional real-time communication via OPC UA protocol.
  • Conducted experiments to verify functional synchronisation.
  • Confirmed functional synchronisation between physical and virtual systems.
  • Demonstrated that digital twin technology is viable for engineering education.

Abstract

Digital twin (DT) technology is a key element of Industry 4.0. Despite its rapid development, current research is mainly focused on industrial optimisation and machine-level monitoring. However, its implementation in the educational process lags significantly behind practice. Moreover, existing DT implementations in education often emphasise visualisation or simulation, while neglecting synchronisation and verification of functional equivalence between the physical and virtual systems. This study presents the design, development and experimental verification of a digital twin of a laboratory material handling system. The virtual model created in Tecnomatix Plant Simulation is connected to the physical system controlled by a Siemens PLC SIMATIC S7-1200 and equipped with industrial sensors and an HMI interface. Real-time bidirectional communication is established via the OPC UA protocol using KEPServerEX, ensuring synchronisation between the physical and virtual systems. Experiments confirmed the functional synchronisation of both systems. Additionally, the study presents that DT technology can be adapted for educational purposes and implemented in engineering education.

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Cite This Study

Rigó et al. (2026) studied this question.

synapsesocial.com/papers/69df2bece4eeef8a2a6b0d73https://doi.org/10.3390/machines14040429
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