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The design, construction, and operation of rail and transit infrastructure will be revolutionised by digital twins. If digital records were always in sync with its physical state, tracks could be kept.
If multidisciplinary design teams could easily interchange data and provide construction-ready data to on-site colleagues. If sensors on your network’s assets provided operational insight in real-time to support maintenance tasks. All this is possible with Digital Twins.
Adoption of digital twins can result in proactive maintenance becoming more common, which is not only less expensive because it can be planned but also prevents downtime and recovery costs. The ability to identify track gouge deformation, loose ballast, and rail degradation is maybe even more significant when trains are coupled with infrastructure digital twins.
The Turkey Rail Digital Twin Market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.
According to the firms, a complete digital twin of a train is being created by Deutsche Bahn and Stadler. Maintaining the air conditioning, doors, and wheel sets in real-time should aid to stop malfunctions in their tracks. The first train to have a digital twin is a multiple unit from the Stadler 429.1 series.
Deutsche Bahn and Stadler representatives signed a collaboration agreement and agreed to work together to digitise the whole fleet of DB’s vehicles. In terms of railroad digitalization, both businesses regard their collaboration as a role model for other rail firms and manufacturers.
A prototype is being outfitted with the necessary hardware for data transmission and recording. Following will be the other trains in the series. The air conditioning, doors, and wheel sets of the train will be the initial focal points of the virtual image.
Artificial intelligence is used to process the data given by these components and generate a simulation of the train that is getting more and more accurate.
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