The DigitalTwin from an Artificial Intelligence Perspective

• URL: http://arxiv.org/abs/2010.14376v1
• Date: Tue, 27 Oct 2020 15:40:36 GMT
• Title: The DigitalTwin from an Artificial Intelligence Perspective
• Authors: Oliver Niggemann and Alexander Diedrich and Christian Kuehnert and Erik Pfannstiel and Joshua Schraven
• Abstract summary: A common and unique virtual representation used by all services during the whole system life-cycle is needed, i.e. a DigitalTwin. This reference model is verified by using a running example from process industry and by analyzing the work done in recent projects.
• Score: 61.83230983253055
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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