Digital Twin Design Patterns for System Architecture

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Digital Twin Design Patterns for System Architecture

Bedir Tekinerdogan
Wageningen University & ResearchICT Group

A digital twin is a virtual replica of a physical object, enabling remote manipulation and providing advanced control capabilities for a wide range of purposes. The development of digital twins relies on a variety of technologies, including the Internet of Things, sensor technology, artificial intelligence, data science, and machine learning, marking a new era in intelligent systems engineering. Creating systems based on digital twins requires a comprehensive systems engineering approach. Furthermore, digital twins can be employed in diverse ways, resulting in various architectural designs. To assist in the process of designing system architectures for digital twin-based systems, we propose a pattern-oriented approach. Our approach involves presenting a catalog of digital twin architecture design patterns that can be reused within the broader context of systems engineering. These patterns support different phases of the systems engineering life cycle process and are described using a well-defined pattern documentation template. To illustrate the practical application of these digital twin patterns, we adopt a multi-case study approach within the agriculture and food domain.

Speaker bio:

Bedir Tekinerdogan is full professor and chair of the Information Technology group at Wageningen University, The Netherlands. He has more than 25 years of experience in software/systems engineering. He is the author of more than 400 peer-reviewed scientific papers. He has been active in dozens of national and international research and consultancy projects with various large software companies, whereby he has worked as a principal researcher and leading software/system architect. Hence, he has got broad experience in software and systems engineering in different domains such as consumer electronics, enterprise systems, automotive systems, critical infrastructures, cyber-physical systems, satellite systems, defense systems, production line systems, command and control systems, physical protection systems, radar systems, smart metering systems, energy systems, and precision farming. His current research at Wageningen University concerns smart system of systems engineering, with an emphasis on software engineering, artificial intelligence, and information technology. More details can be found on his LinkedIn Profile:

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