A Structure of Modelling Depths in Behavior Models for Digital Twins
Valentin Stegmaier, Daniel Dittler, Nasser Jazdi, Michael Weyrich
Abstract
Behavior models in the Digital Twin are relevant to many use cases such as digital product development, virtual system optimization or virtual commissioning. However, such behavior models are structured in the literature according to different criteria and levels, which complicates the selection of the correct properties for specific use cases. One criterion discussed very differently is the modeling depth of behavior models. This paper presents different approaches to structure behavior models from literature and introduces a new concept with focus on the modeling depth. These levels of modeling depths, as well as the characteristics of the different modeling depths, are illustrated using a representative industry scenario.