Digital Twins for Monitoring, Simulation, and Control
Digital Twins promise several improvements for the development, evolution, and operation of complex systems. Current fields of application are for example manufacturing, aircraft, and city traffic. A Digital Twin represents an abstraction of a physical system similar to a model covering data about properties, configuration, state, and event history collected from sensor data. Furthermore, it offers services to control the physical system via control commands, from changing configurations to operation commands. Current research topics are ensuring consistency during changes and updates, evaluation of data for model revision, and data protection and privacy, to name a few.
University research project
Duration: ongoing since April 2022
Contact: Prof. Matthias Riebisch