Rail Maintenance Contract in Eslöv
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Our data-driven asset management approach ensures predictable maintenance, reduced costs, and optimal availability of critical infrastructure such as rail networks, roads, and tunnels across Europe.
Photo: Visuals from the Leonardo inspection train via the Geoconda viewer.
By approaching maintenance through asset management, we keep assets in optimal condition. We monitor the status of all assets digitally, gaining insight into their behaviour. When deviations occur, we repair or replace components during scheduled maintenance—often overnight—before failures happen. This ensures infrastructure remains available at minimal cost.
We apply this approach to rail infrastructure, waterways, roads, and tunnels—always aiming for safe, predictable, and cost-efficient availability across Europe.
Data-driven maintenance also benefits major infrastructure renewal projects. By leveraging data and digital tools, we gain a deep understanding of existing assets—critical for Europe’s significant modernisation and replacement challenges. Our systematic, integrated approach moves toward standardised processes and solutions, enabling clients to achieve major improvements in efficiency and sustainability. Innovation helps us build smarter, better, and greener infrastructure for the future.
Photo: 4D visualisation of Amsterdam Central Station
Sustainable asset management balances performance, cost efficiency and environmental impact across the entire lifecycle of infrastructure. It focuses on extending asset life, minimising failures and reducing CO₂ emissions through smarter maintenance planning and responsible material use. Modern approaches increasingly integrate predictive maintenance and sustainability goals to improve long‑term resilience. The POSS monitoring system and Eurailscout’s inspection trains are examples that boost sustainable asset management.
Data is the foundation of smart maintenance. By collecting condition data from inspections, sensors and monitoring systems, infrastructure managers gain accurate insight into the health of their assets. When combined with analytics, software and AI, this data enables predictive maintenance frameworks that reduce downtime, improve reliability and support informed, long‑term decision‑making.
Predictive maintenance helps prevent unexpected failures, avoids costly emergency repairs and keeps infrastructure available at the lowest operational impact. By identifying deviations at an early stage, repairs can be scheduled during planned maintenance windows—often at night—reducing disruptions and improving asset performance. Studies show predictive models significantly reduce unplanned outages and improve safety across transport networks.
Data‑driven asset management provides an understanding of the condition and remaining lifespan of existing structures and assets. This insight enables infrastructure owners to plan renovations and renewals more efficiently, allocate investments wisely and reduce environmental impact by avoiding premature replacement. Advanced asset analytics help organisations make smart decisions and prioritise upgrades where they deliver the most value.
Asset management applies to rail infrastructure, roads, tunnels, waterways and all other civil structures where safety, availability and sustainability are essential. Whether managing complex rail networks or urban mobility systems, modern asset management frameworks—often supported by AI and predictive analytics—strengthen performance and ensure future‑proof infrastructure across Europe.