Digital twin plays a key role in digitizing railway infrastructure systems by continuously merging different sources of data and diverse models for monitoring, diagnostics, and prognostics to optimize railway performance.
However, the railway infrastructure system is sophisticated and consists of a series of subsystems, including turnouts, tunnels, vehicles, etc. Current researches mainly focus on the digital twin application of the single subsystem, but the comprehensive communication and interactions between diverse railway infrastructure subsystems remain a largely under-explored domain.
Aiming to fill the gap, this research introduces a new architecture of the digital twin platform to seamlessly integrate and automatically link digital models and data of different subsystems into a holistic large-scale railway infrastructure system. The model cooperation frameworks, communication approaches, and visualization toolbox are presented in this work. One typical use case of the platform will also be implemented and discussed. It is expected that this research will shed new light on the sustainable development of the holistic large-scale railway infrastructure system.
by Shiyang Zhou, Stefan Dumss, Rebecca Nowak, Rainer Riegler, Ozan Kugu, Martin Krammer, Manfred Grafinger