A Generic DigitalTwin Model for Artificial Intelligence Applications

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.

What Is the Role of AI for Digital Twins?

“…Furthermore, there are extensions one can find for specific application domains. An example is the studies by [16][17][18] where the crucial role of AI for the internet of things (IoT) and Cyber-Physical System (CPS) in Industry 4.0 is discussed. Yet a different aspect of AI methods is discussed in [19], where a digital twin has been utilized for creating sufficiently large training datasets to improve the training of machine learning models.…”