An IT-OT integration concept for flexible process automation
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Mahyar Azarmipour
Dr.-Ing. Mahyar Azarmipour, Mahyar Azarmipour graduated in electrical engineering from Bochum University in 2015 and completed his Ph.D. in 2022 at RWTH Aachen University. Since 2022 he works at Infineon Technologies AG. His research activities during the Ph.D. dealt with virtualization in automation technology and Industry 4.0.
Ramy Hana, M.sc, Ramy Hana graduated in electrical Engineering with a specialisation in process automation from TU-University in 2020. He worked as an intern for Bayer AG in the process performance improvement department where he developed an anomaly detection library for the purpose of process monitoring. In 2021, he joined the chair of Information and Automation Systems at the RWTH Aachen University with a research focus on field device performance assessment.
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Tobias Kleinert
Prof. Dr.-Ing. Tobias Kleinert, Tobias Kleinert graduated in Mechanical Engineering from RWTH Aachen University in 1999 and completed his Ph.D. in 2005 at Ruhr-Universität Bochum. He worked at BASF SE in Advanced Process Control, Process Control Systems, Regulated Automation Solutions, Manufacturing Execution Systems, and Smart Manufacturing. In 2020, he assumed a full professorship at RWTH Aachen. His research and teaching include development of system solutions and general concept formation. Recent research activities address automated process data processing, configuration of component-based process control, and virtualization for safe and secure automation systems. Besides collaborations with research institutions and industry, he is engaged in standardisation bodies like Plattform Industrie 4.0, DKE, VDI/VDE GMA, ZVEI, and NAMUR.
Abstract
Industry 4.0 is a paradigm that plays a central role in the development of future automation systems. A new generation of industrial automation aims to increase the agility of automation systems. In this context, cooperation with the IT world is an important prerequisite to achieving the requested agility. Therefore, new architectures and solutions have to be developed to realize cooperation between automation and IT systems. The goal of this work is to present for the process industry an architectural design for industrial control systems in order to provide them with a higher level of connectivity and agility.
Zusammenfassung
Die Initiative Industrie 4.0 beeinflusst erheblich die Entwicklung zukünftiger Automatisierungssysteme. Eine neue Generation der industriellen Automatisierung addressiert die Steigerung der Flexibilität bezüglich intendierter Änderungen jeglicher Art. Die sichere Verknüpfung zur IT-Welt ist dabei eine wichtige Voraussetzung. Um die Kooperation zwischen der IT und der Automatisierung zu realisieren, müssen neue Architekturen und Lösungen entwickelt werden. Dieser Beitrag stellt für die Prozessindustrie einen Ansatz für industrielle Steuerungen vor, basierend auf virtualisierten Dienstumgebungen, um einen hohen Grad an sicherer Konnektivität und Agilität zu ermöglichen.
About the authors
Dr.-Ing. Mahyar Azarmipour, Mahyar Azarmipour graduated in electrical engineering from Bochum University in 2015 and completed his Ph.D. in 2022 at RWTH Aachen University. Since 2022 he works at Infineon Technologies AG. His research activities during the Ph.D. dealt with virtualization in automation technology and Industry 4.0.
Ramy Hana, M.sc, Ramy Hana graduated in electrical Engineering with a specialisation in process automation from TU-University in 2020. He worked as an intern for Bayer AG in the process performance improvement department where he developed an anomaly detection library for the purpose of process monitoring. In 2021, he joined the chair of Information and Automation Systems at the RWTH Aachen University with a research focus on field device performance assessment.
Prof. Dr.-Ing. Tobias Kleinert, Tobias Kleinert graduated in Mechanical Engineering from RWTH Aachen University in 1999 and completed his Ph.D. in 2005 at Ruhr-Universität Bochum. He worked at BASF SE in Advanced Process Control, Process Control Systems, Regulated Automation Solutions, Manufacturing Execution Systems, and Smart Manufacturing. In 2020, he assumed a full professorship at RWTH Aachen. His research and teaching include development of system solutions and general concept formation. Recent research activities address automated process data processing, configuration of component-based process control, and virtualization for safe and secure automation systems. Besides collaborations with research institutions and industry, he is engaged in standardisation bodies like Plattform Industrie 4.0, DKE, VDI/VDE GMA, ZVEI, and NAMUR.
Acknowledgment
A simplified architecture was proposed in the project Basys4dash as a generalized concept to enable module-based dashboards for condition monitoring purposes. The project aimed at improving data-based decision-making in SME companies by introducing modular-based dashboards that are based on the asset administration shell concept. The generalized concept was proposed as an extension to the implemented system. It aimed at separating IT functionalities from production systems as the original concept didn’t focus on means for verified secure feedback to the production system.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: The project was funded by the German Federal Ministry of Education and Research under the funding code 01IS19006B. The responsibility for the content of this publication lies with the authors.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Methods, approaches and applications in software-driven manufacturing
- Survey
- Reconfiguration management in manufacturing
- Methods
- Cloud-based evaluation platform for software-defined manufacturing
- Inconsistency management in heterogeneous engineering data in intralogistics based on coupled metamodels
- A model-based mutation framework for IEC61131-3 manufacturing systems
- Towards numerical control of machine tools from the edge cloud
- Applications
- An IT-OT integration concept for flexible process automation
Articles in the same Issue
- Frontmatter
- Editorial
- Methods, approaches and applications in software-driven manufacturing
- Survey
- Reconfiguration management in manufacturing
- Methods
- Cloud-based evaluation platform for software-defined manufacturing
- Inconsistency management in heterogeneous engineering data in intralogistics based on coupled metamodels
- A model-based mutation framework for IEC61131-3 manufacturing systems
- Towards numerical control of machine tools from the edge cloud
- Applications
- An IT-OT integration concept for flexible process automation
