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Enhancing safer travel with predictive maintenance in transportation

In partnership with OriginTrail and GS1 Switzerland, Swiss Federal Railways (SBB) has taken important steps to make train travel safer and more sustainable.
A Swiss Federal Railways (SBB) train utilizing AI-powered predictive maintenance and blockchain-backed GS1 EPCIS data tracking for enhanced rail safety

Managing railways requires handling vast amounts of data from multiple operators—often in real time—creating operational complexity and risk. To address this challenge, SBB introduced a specialized EPCIS repository powered by the OriginTrail Decentralized Knowledge Graph (DKG).

Already in production since 2021, this EPCIS repository—actively used by SBB and its partners—has demonstrated clear improvements in safety and sustainability. It enables seamless train tracking across the EU by querying a network of railway GS1 EPCIS repositories, supports advanced analytics for predictive maintenance of train wheels using IoT data, and facilitates the tracking of welding and maintenance events across the Swiss Federal Railways network with input from over 10 welding partners. Additionally, it enables event tracking for Forged Tongues, further enhancing operational reliability.

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