Event-Driven and Scalable Digital Twin System for Real-Time Non-Destructive Testing in Industrial Computational Systems
This study presents a digital twin system designed to monitor, predict, and optimize linear welding parameters in real time, with applications in Industry 4.0 and smart manufacturing. The system leverages Kubernetes to seamlessly integrate various sensors, enabling their dynamic allocation to different aggregates and ensuring scalability for adding new devices as needed. The selected computational models, including machine learning and fuzzy logic-based approaches, provided effective real-time feedback to the welding aggregate by dynamically adjusting welding power. GitOps practices and event-driven communication using message queues facilitated efficient deployment and management in this dynamic and distributed environment, facilitating continuous system updates and minimizing downtime. By providing real-time feedback to welding machine operators and functioning as a digital twin, this system enhances both simulation capabilities and physical process control, demonstrating potential for cross-domain interoperability and advanced decision-making frameworks.
Authors
- Marek� Wilkus (ORCID: https://orcid.org/0000-0002-4700-6827)
- Krzysztof Regulski (ORCID: https://orcid.org/0000-0001-8080-2254)
- Krzysztof Bzowski (ORCID: https://orcid.org/0000-0002-1784-2584)
- Piotr Hajder (ORCID: https://orcid.org/0000-0002-0437-3328)
- Łukasz Sztangret (ORCID: https://orcid.org/0000-0003-4872-406X)
- Lucyna Hajder (ORCID: https://orcid.org/0000-0003-0644-7893)
- Kazimierz Michalik (ORCID: https://orcid.org/0000-0002-3674-6360)
- Mateusz Mojżeszko (ORCID: https://orcid.org/0000-0001-7208-0482)
- Łukasz Rauch (ORCID: https://orcid.org/0000-0001-5366-743X)
- Krzysztof Banaś (ORCID: https://orcid.org/0000-0002-4045-1530)
- R. Nadolski (ORCID: https://orcid.org/0009-0002-4784-2769)
- Andrzej Opaliński (ORCID: https://orcid.org/0000-0002-9730-9594)
- Monika Pernach (ORCID: https://orcid.org/0000-0002-0091-5329)
- Danuta� Szeliga (ORCID: https://orcid.org/0000-0002-2915-8317)
- Adam Mrózek (ORCID: https://orcid.org/0000-0001-8309-6156)
- Tomasz Jażdżewski (ORCID: https://orcid.org/0000-0002-1667-6289)
- Filip Hallo (ORCID: https://orcid.org/0009-0008-6843-9518)
- Wojciech Jędrysik (ORCID: https://orcid.org/0009-0008-1454-3766)
Institutions
- AGH University of Krakow (PL)
Publication Details
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1109/percomworkshops65533.2025.00057
- Citations
- 1
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 1.24