An FMI- and SSP-based Model Integration Methodology for a Digital Twin Platform of a Holistic Railway Infrastructure System

Ozan Kugu (Autor:in, Hauptvortrag), Shiyang Zhou, Rebecca Nowak, Gabor Müller, Stefan Reiterer, Alexander Meierhofer, Stefan Lachinger, Lukas Wurth, Manfred Grafinger

Publikation: Beitrag in Buch oder TagungsbandBeitrag in Tagungsband mit PosterpräsentationBegutachtung

Abstract

Nowadays, the digitalization of large-scale railway infrastructure systems is a major trend, which helps to reduce the life-cycle costs of the railway transportation. For this purpose, the Digital Twin (DT) technology can be used to interoperate different digital data and models, belonging to the railway infrastructure system, in a virtual platform for predictive maintenance, diagnostics and condition monitoring in the railway sector. However, the simulation models of the infrastructure system are tooldependent, lack ease-of-use and platform compatibility. Therefore, we have to customise them in order to make them more representative and then integrate easily and tool-independently into the DT platform. For this purpose, we propose to use the Functional Mockup Interface (FMI) and System Structure Parameterization (SSP) technologies as open interface standards between the models and software tools. In this work, we demonstrate the application of the FMI and SSP standards separately for two use cases, which
include a multibody simulation (MBS) model of a railway vehicle and residual life time (RLT) calculation of a steel bridge.
OriginalspracheEnglisch
TitelProceedings: The 15th International Modelica Conference
Seitenumfang10
PublikationsstatusVeröffentlicht - 9 Okt. 2023
VeranstaltungThe 15th International Modelica Conference - Aachen, Deutschland
Dauer: 9 Okt. 202311 Okt. 2023

Konferenz

KonferenzThe 15th International Modelica Conference
Land/GebietDeutschland
StadtAachen
Zeitraum9/10/2311/10/23

Research Field

  • Reliable and Silent Transport Infrastructure

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