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Digital rail solutions for predictive maintenance and operations
Knorr-Bremse’s Railnova platform uses AI and data analytics to enable predictive maintenance, real-time fleet monitoring and optimized rail operations.
www.knorr-bremse.com
Railnova's connectivity and AI technologies enable better and more reliable rail transport. | © Knorr-Bremse
The Railnova Ecosystem: From Data to Actionable Insights
Railnova has developed an integrated solution portfolio currently deployed on approximately 3,000 locomotives and multiple-unit trains across Europe. The focus is on rethinking maintenance processes and detecting failures before they disrupt operations.
- Railster: This product family connects rail vehicles and provides real-time visibility of their condition through intelligent sensor technology.
- Railgenius: An analytics platform that evaluates sensor data using more than 2,000 algorithms to enable condition-based maintenance and predictive fleet planning.
- Railfleet: A daily fleet management application used by over 9,000 users. It digitally tracks vehicles from the tracks to the depot and manages maintenance processes.
AI Agents in Practical Use
In applications like Railfleet, AI agents already perform central tasks to automate manual processes and accelerate decision-making:
In applications like Railfleet, AI agents already perform central tasks to automate manual processes and accelerate decision-making:
- Automated Classification: AI agents read fault reports and classify them automatically, creating a structured database for fleet managers.
- Maintenance Forecasts: In the future, these agents will derive concrete recommendations for maintenance planning from the collected information.
- Prioritization: By providing a precise overview of vehicle conditions in the shortest possible time, measures can be prioritized more effectively, and decisions can be made faster.
Strategic Foundation: Global AI Network and Cloud Power
Knorr-Bremse supports its digital strategy by building a robust technological infrastructure to scale innovations across the group:
- AI Center in Chennai, India: Establishment of a cross-divisional center to pool AI expertise.
- AWS Partnership: Expansion of cloud technologies with Amazon Web Services (AWS) to enhance scalability, efficiency, and customer value.
- Economic Success: Railnova has recorded an average annual growth rate of approximately 13% over the past five years with attractive EBIT margins, highlighting the relevance of digital rail solutions.
By linking physical rail hardware with intelligent software agents, Knorr-Bremse is creating a foundation for the future of rail transport, where maximum availability is no longer just a goal, but a prerequisite.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
