Fuel consumption and fuel supply are central aspects of diesel fleet management. Railnova monitors fuel gauge signals to automatically inform operators of relevant events, such as when a locomotive is running low on fuel and when it has been refuelled.
Growing a startup in rail is not as simple as growing one in a consumer-oriented sector, it's far more complex due to the many regulations, the importance of safety and long held traditional practices.
What better way to give you an insider view on what Railnova does, than having two members of the team share how they are contributing to the process of accessing data on trains and translating that data into actionable insights and predictive alerts?
Railnova’s recipe for customer support success: we are close to our customers, our customer support is personal and easy, and everyone in the company is involved.
Winter is coming, and lucky for us we don’t need to worry about white walkers, but we do have to watch out for an increase in battery failures on locomotives due to the cold and severe weather conditions.
Remote condition monitoring is the first step towards usage-based and predictive maintenance. For one of our recent projects, we are showing CargoNet how they can turn their railway assets into smart trains.
Usage-based preventive maintenance is an interesting option to ensure more accurate maintenance periodicities, while extending the life of your components.
At Railnova we believe there are two major actions railway operators should perform in order to optimise fleet availability and reliability: digitalising fleet actions and receiving and acting on real-time remote data.
During my first 2 weeks at Railnova I've seen a lot of things that I already touched in the past — but from a totally different perspective. I’m happy to share my experiences with you!
There has been lots of buzz around 4G and how to apply it for rail passengers WIFI, railway IoT and remote condition monitoring. But what is the best option for your next remote monitoring project?