Digital Twins: Platforms, Methods, Applications, and Impact
Permanent URI for this collectionhttps://hdl.handle.net/10125/107575
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Item type: Item , Designing and Implementing a Robust, Modular and Interoperable Digital Twin Smart City Framework for Critical Water Spatial Infrastructure(2024-01-03) Alexandridis, Kostas; Zhang, Sonya; Koohikamali, Mehrdad; Sabri, Soheil; Ozkaya, ErkanThis paper provides a fundamental and robust understanding of digital twin technology’s design, implementation, and use for managing critical water spatial infrastructure in Smart Cities. It outlines a modular and interoperable reference framework and an overview of how innovative technologies and socio-technical system considerations can form the cornerstone for smart city digital transformation efforts. We present two of our own integrative case studies as examples of such critical water infrastructure, namely in Orange County, California, US, and Victoria, Australia. We discuss key framework factors and considerations and outline a roadmap for implementing digital twin transformation for intelligent urban water management systems.Item type: Item , Towards a Model Factory Experimentation Environment for Cyber-Physical Twins(2024-01-03) Emrich, Andreas; Gutermuth, Oliver; Frey, Michael; Fettke, Peter; Loos, PeterIndustry 4.0 has brought about tremendous changes in equipping machinery and factory setups with sensors and bridging the gap between the digital and the physical world. Process mining has proven to be a valuable tool for analyzing industrial workflows, gathering models, and checking the conformance of executions. However, faults that occur seldom in industrial processes cannot be easily learned by applying machine learning methods. Explicit nominal models can help to close this gap. The given approach shows how nominal product, resource, and process models can be used in a physical twin environment to enhance process mining tasks and related error root cause analysis. In this scenario a model factory serves as physical twin of a real-life factory. The paper concludes with a depiction of a potential proof-of-concept.Item type: Item , Digital Shadows for Operational Technology Monitoring - A Comparison of Data-Driven Approaches(2024-01-03) Graf, David; Schwinger, Wieland; Retschitzegger, Werner; Kapsammer, Elisabeth; Baumgartner, Norbert; Pröll, Birgit; Schönböck, JohannesCritical infrastructures in domains like road traffic management heavily depend on Operational Technology (OT) to ensure safe operation. One faces, however, also tremendous challenges in OT monitoring (OTM), i.e., ensuring the proper functioning of the OT objects themselves, due to their inherent large-scale, heterogeneous, and evolutionary nature. Going beyond the current practice of monitoring single OT object states, the digital twin paradigm could enable a more holistic OTM - research being, however, still in its infancy. Thus, the contribution of this paper is threefold: Firstly, we discuss key challenges from a domain perspective and derive appropriate criteria for a systematic evaluation of data-driven approaches aiming at a digital representation of an OT infrastructure. Secondly, based on these criteria, we identify and discuss promising generic approaches as well as domain-specific ones, ranging from IT networks to Social Networks. Thirdly, based thereupon, we present lessons learned and open issues for further research.Item type: Item , Introduction to the Minitrack on Digital Twins: Platforms, Methods, Applications, and Impact(2024-01-03) Schattkowsky, Tim; Engels, Gregor; Rettberg, Achim