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June 26, 2026Processes0 citationsOpen Access

Development of an Online Digital Twin for Real-Time Monitoring of Manufacturing Processes Using OPC UA

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JKJana KronováMPMiriam PekarčíkováMKMarek Kliment

Key Points

  • This research aims to develop an online Digital Twin that enables real-time monitoring of manufacturing processes.
  • Developed an online Digital Twin architecture utilizing OPC UA and PLC data exchange.
  • Validated the approach in a laboratory-scale cyber-physical production system.
  • Combined discrete-event simulation with real-time industrial data acquisition.
  • Achieved stable synchronization between physical and digital systems with response times of 50 to 200 ms.
  • Successfully reflected safety-related events in the physical system using light barrier scenario.
  • Demonstrated feasibility of near-real-time integration for process state monitoring.

Abstract

The integration of online Digital Twin (DT) technologies with industrial control systems represents an important step toward real-time monitoring and synchronization of manufacturing processes within Industry 4.0 environments. However, reproducible approaches for connecting simulation environments with real industrial control hardware using standardized communication protocols remain insufficiently described in the existing literature. This study presents the development of an online Digital Twin for real-time monitoring of manufacturing processes using OPC UA communication and programmable logic controller (PLC) data exchange. The proposed approach combines discrete-event simulation with real-time industrial data acquisition to enable synchronization between a physical manufacturing system and its virtual representation. The implementation was experimentally validated in a laboratory-scale cyber–physical production system using Tecnomatix Plant Simulation, Siemens S7-1200 PLC, and KEPServerEX middleware. The developed architecture enables real-time process state monitoring, event-driven synchronization, and verification of selected control and safety functions within the simulation environment. The results demonstrate stable synchronization between the physical and digital systems with response times ranging from 50 to 200 ms, confirming the feasibility of near-real-time integration. The implemented light barrier scenario further demonstrated the capability of the online DT to reflect safety-related events occurring in the physical system. The main contribution of this study lies in the implementation and experimental verification of an OPC UA-based online Digital Twin architecture for manufacturing process monitoring in a laboratory environment. The presented approach provides a foundation for future extensions toward predictive analytics, scenario-based simulation, and advanced manufacturing optimization applications.

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Cite This Study

Kronová et al. (2026) studied this question.

synapsesocial.com/papers/6a3e1643030ad1a9b3090347https://doi.org/10.3390/pr14132030
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