Solutions for smart rail maintenance

Everything hinges on data nowadays. But how do you extract useful information from it for smart track maintenance? We can help you to do just that.

Nowadays, collecting information is relatively simple. This can be achieved due to the rise of technologies including the Internet of Things (IoT) and Artificial Intelligence (AI). Sensors, satellites, inspection trains and monitoring systems: they collect immeasurable quantities of track data. But the challenge then is to make all this data work for you. How exactly do you process it and what information do you extract? How do you utilise the information in the field? And, more importantly, how do you use it to predict maintenance requirements?

Translating data into maintenance actions

We help you as our customer to take that step. We can do so drawing from close to 100 years of maintenance experience in the Netherlands. A country with one of the busiest railway networks in the world that complies with stringent quality demands.

We help you to collect, process, analyse, interpret and translate data into concrete maintenance actions. This affords you with insight into the status of your assets in your capacity as the rail operator. Maintenance becomes predictable. As such, we help you to improve the safety, availability, sustainability and cost efficiency of the rail infrastructure system.

Predictive scenarios

All of the data collected on and around the tracks in different countries is collected at our control centre. Thanks to combining this international data with the domain knowledge possessed by our professionals, we can better predict and schedule maintenance. We also develop predictive scenarios. All with a single aim: creating a safer and continually available network while at the same time minimising maintenance costs.

Information exchange

If required, customers are given 24/7 insight into maintenance work through a completely digitised dashboard. Maintenance can then be monitored on the basis of previously agreed key performance indicators (KPIs). This enables you to keep a grip on the maximum number of fault occurrences or the maintenance budget, for example. 

Contact our expert

Sander will be happy to tell you more about smart maintenance of rail networks

Application of big data: smart maintenance London Underground

Read here how we apply big data for smarter maintenance on the London Underground network.

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