Automatic Generation of Simulation Models for Digital Twins from State-of-the-Art Simulation Frameworks

Koch Tobias, Bonari Jacopo, von Danwitz Max, Popp Alexander

Abstract:

Simulations are an important part of Digital Twins
due to their ability to forecast behavior of a physical asset
or perform what-if analysis. Especially for products with long
life cycles, there is a lack of sufficient data for the generation
of such simulations and information has to be digitized in
tedious manual work and adapted to state-of-the-art frameworks.
Thus, there is the urgent need for automation of this process
including the digitization and generation of simulations using
these frameworks. In this work, we propose a workflow that
is able to completely automate these steps by combining different digitization methods for in situ measurement data and
engineering diagrams into one generalized system description
form. From this system description a set of multiple simulations
from different frameworks can be generated automatically. The
workflow is successfully demonstrated with the example of two
different frameworks for pedestrian flow simulations, one agent-based and one using finite element methods.

External IDs:doi:10.1109/ds-rt62209.2024.00031