Published on Tue Oct 27 2020

The DigitalTwin from an Artificial Intelligence Perspective

Oliver Niggemann, Alexander Diedrich, Christian Kuehnert, Erik Pfannstiel, Joshua Schraven

Service for Cyber-Physical Systems based on Artificial Intelligence and Machine Learning require a virtual representation of the physical. For each system, a common and unique virtual representation used by all services during the whole system life-cycle is needed. In this paper such a DigitalTwin is defined.

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Abstract

Services for Cyber-Physical Systems based on Artificial Intelligence and Machine Learning require a virtual representation of the physical. To reduce modeling efforts and to synchronize results, for each system, a common and unique virtual representation used by all services during the whole system life-cycle is needed, i.e. a DigitalTwin. In this paper such a DigitalTwin, namely the AI reference model AITwin, is defined. This reference model is verified by using a running example from process industry and by analyzing the work done in recent projects.