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Discover how Intelligent Asset Management can revolutionize the Railway Industry

Intelligent Asset Management supports the planning and delivery of railway infrastructure, allowing users to deliver safe, efficient, and sustainable operations. It includes all systems, procedures and tools to maximize asset availability for a minimum whole-life cost and risk.

 

The data collected by Intelligent Asset Management solutions, in combination with its analytic capabilities, provides the backbone for new service development for passengers. Such services, leveraging the deep knowledge of the entire railway infrastructure viewpoint, increase train and line availability.

This directly improves passenger usability, boosting user experience, and giving passengers a clear and updated vision of the status of their trip.

Use Cases studied

The Integrated Demonstrator of "Gotham City"

Standardization of data for integrated interfaces

 

Voltages and currents at substation levels, as well as a couple of onboard values, are recorded in order to analyse energy flow and improve energy efficiency of the system.

Management of Track Circuits in a Metro Environment

​Improving the track Circuit management process with the use of Prescriptive Analytics: from detection and prediction of possible failures to the prescription of maintenance actions and their automatic (re)scheduling.

Railway Infrastructure Maintenance Management in RFI

Exploiting multiple data sources to improve asset maintenance management and provide a tool for the visualization of the most actionable information to the decision-makers.

Monitoring of track geometry and location of rail defects.

Prioritize the maintenance actions on the track segments in real and continuous time thanks to a non-intrusive instrumentation and modeling solution for the evolution of defects and track degradation. 

These projects have received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreements No 881574, 777515 and 101008913. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Shift2Rail JU members other than the Union.

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