Strukton expands Belgian rail activities
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Expertises
The Leonardo Inspection Train digitally maps the railway and its surroundings.
For efficient and effective performance‑based maintenance, it’s essential to have detailed insight into the condition of the track and its environment. However, collecting the relevant data can be extremely time‑consuming. Travelling to the various locations often takes hours, and strict safety regulations usually apply.
We have developed a smart solution that saves both time and effort: the Leonardo Inspection Train. This train enables you to digitally inspect, measure and analyse the track and its surroundings. The data are then available anytime and anywhere – simple, fast and safe.

The Leonardo Inspection Train is equipped with cameras, lasers and radar to create a digital map of the rail infrastructure and its immediate surroundings. As it can operate at speeds of up to 90 km/h, its impact on regular rail services is minimal.
The inspection train will be equipped with additional systems in the future, allowing even more data to be collected.
The data collected in this way are enriched with information from other sources, such as asset data, and made accessible to end users through the Geoconda viewer. Geoconda is essentially a “Google Street View” for rail. It provides access to recordings of the track, overhead lines, signals, embankments and signage, all of which can be analysed in detail.
For easy access from your workplace, all imagery is stored in an online viewer. The Geoconda viewer combines images, a GIS map and asset information, making it simple to navigate and explore the rail environment.
Download Brochure Leonardo Inspection Train
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.
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.
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 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.
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.
Rail construction plays a crucial role in Europe’s shift towards low‑carbon mobility. By expanding and modernising electric rail infrastructure, the sector enables cleaner transport that produces significantly lower CO₂ emissions than road or air travel. At the same time, energy‑efficient work methods—such as using low‑emission machinery, hybrid traction systems and digital tools that extend asset life—help reduce the environmental footprint of construction activities. Together, these developments strengthen a sustainable mobility network and accelerate progress towards European climate goals.
In rail construction, highly specialised machinery ensures that work is carried out safely, efficiently and with minimal disruption. Typical equipment includes track‑laying trains, tamping machines, rail welding units, road‑rail excavators and ballast profiling systems, each designed to build or restore track structures with precision. These machines support both large‑scale track installation and daily maintenance operations. Innovations in automation and robotics are increasingly enhancing productivity and safety, helping infrastructure managers deliver consistent quality in a growing European rail network.