Smart Architectures
Introduction
The Smart Architectures team focuses on new methods and approaches to lay the foundations for flexible, efficient and reliable cyber-physical production systems of the future through architectural concepts. In particular, the increasing requirements regarding time-to-market, quality, flexibility, reliability and complexity handling are incorporated into the research.
Research Focus
- How can automation architectures be future-proofed for Industry 4.0 and beyond in the process, manufacturing and pharmaceutical industries?
- How can the use of advanced automation methods such as artificial intelligence, machine learning or model predictive control be enabled or facilitated in industry through suitable system architectures?
- How can novel measures and applications be designed to ensure the quality, stability and integrity of the data generated in Industry 4.0?
- How can new methods and approaches be implemented to enable more efficient data acquisition, storage and processing in an industrial context?
Innovative Methods and Tools
- Scenario techniques for requirements elicitation doi.org/10.51202/9783181024195
- Smart automation architectures doi.org/10.1109/ETFA.2019.8869439
- Technologieanalysen doi.org/10.1109/ITNAC55475.2022.9998327
- Concept development for data-driven industrial applications FIS TU Dresden
- Testing theorethical approaches in the Process-to-Order Lab doi.org/10.2139/ssrn.4456423
Teaching
- Prozessleittechnik 1 (PLT1)
- Projektierung von Automatisierungssystemen (CAE@PA)
- Hauptseminar AMR
- Student and Diploma Thesis
Research Projects
- ecoKI - Increasing Energy Efficiency in Production Through Digitalization and AI
- FABP - Future of Automation Architectures for Biopharma
- ENSORT - Steigerung der Energieefffizienz im Abfall- und Recyclingstoff-Sortierprozess durch Erhöhung des Automatisierungsgrades
The Team
Doctoral Researcher
NameMr Dipl.-Ing. Lucas Vogt
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Group lead:
Scientific Staff:
Former scientific staff:
Publications
2024
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Industrial Control as a Service: - "As a Service" automation in practice , 18 Nov 2024, In: atp magazin. 2024, 11-12, p. 76-83, 8 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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IIoT Data-Driven Analytics Pipeline for Industrial Process Engineering , 11 Nov 2024Research output: Contribution to conferences > Poster
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Bringing Human Cognition to Machines: Introducing Cognitive Edge Devices for the Process Industry , 17 Aug 2024, Proceedings of the 22nd IEEE International Conference on Industrial Informatics (INDIN). IEEE Xplore, 7 p.Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Far vs. Near: A Decision Framework for Cloud and Edge Use in the Process Industry , 17 Aug 2024, Proceedings of the 22nd IEEE International Conference on Industrial Informatics (INDIN). IEEE Xplore, 8 p.Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Containerisierung von Model Predictive Control für modulare Anlagen: Ein Schritt zu intelligenten Edge Systemen , 2 Jul 2024, Automation 2024: 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024) ;AI beats Automation?. 1 ed., VDI Verlag, Düsseldorf, p. 33-45, 14 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Demonstration von “Industrial Control as a Service” für Biopharma-Anwendungen , 2 Jul 2024, Automation 2024: 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024) ;AI beats Automation?. 1 ed., VDI Verlag, Düsseldorf, p. 485-496, 12 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Scalable data pipeline: Ontology-based OPC UA data access for the industrial internet of things , 2 Jul 2024, Automation 2024 : 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024) ;AI beats Automation?. 1 ed., VDI Verlag, Düsseldorf, p. 419-434, 16 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Steigerung der Energieeffizienz für eine nachhaltige Entwicklung in der Produktion: Die Rolle des maschinellen Lernens im ecoKI-Projekt , 2 Jul 2024, Automation 2024: 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024); AI beats Automation?. 1 ed., VDI Verlag, Düsseldorf, p. 825-840Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Industrial Edge MLOps: Overview and Challenges , 2 Jun 2024, ESCAPE34-PSE24: European Symposium on Computer Aided Process Engineering and International Symposium on Process Systems Engineering. Elsevier, Berlin [u.a.], Vol. 53. p. 3019-3024, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Demonstrating Containerization of Model Predictive Control for Modular Plants , 12 May 2024, Proceedings of the 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). St. Louis: IEEE Xplore, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution