Data specialist working on a computer

VR FleetCare utilises AWS on data-driven rolling stock maintenance

How We Do It? Data-driven rail fleet maintenance, case VR FleetCare and Amazon Web Services

Watch the video and find out how we have built up the modern data platform around AWS -services. And how data-driven maintenance will, in addition to creating significant cost savings for the rail fleet owners, increase safety and enhance the usability of the rolling stock.

For the testing stage, VR FleetCare has set up seven measurement points at interlockings located at major traffic points around the railway network. They will be used to test the operation of some 80 switches. Based on the measurement data, incipient switch failures can be detected from deviating turntable performance. Ideally, this will help prevent traffic disruptions due to such failures. 

Switch maintenance accounts for a considerable share of railway network maintenance costs. Switches have a complex structure and involve many components that affect their functioning. The measurement data can be used to steer maintenance based on the condition of switches, reducing maintenance costs and increasing the life-cycle of switches. For example, the number of operations of individual switches may vary greatly, yet the same maintenance system is used for all of them.
“More detailed data helps us improve the availability of tracks and reduce switch-related disruptions to rail traffic. We aim to receive the first signals of maintenance needs before any deviations are detected in switch operations. In this respect, condition monitoring would help improve the punctuality of trains.”
Marko Lehtosaari, Specialist in Railway Maintenance at FTIA
The digital services of VR FleetCare seek to identify solutions for improving customers’ business. Data-controlled, predictive maintenance based on the condition of components is at the core of development. In line with its strategy, the company works with select partners to apply advanced technology for the development of railway traffic. The equipment for the present project was produced by Vire Labs, a Finnish supplier of IoT solutions based on artificial intelligence.
“Condition monitoring and predictive maintenance of Swithes benefits the owner of the railway network, the maintenance providers and the traffic operators using the railway network. This pilot project is a good stepping stone because, in the future, we plan to offer this service also on the global railway market. We believe that our solution is the best and most competitive available."
Mikko Alanko, Vice President, Digital services, VR FleetCare

Further information: 

Media Contact Information:
VR Group Communications, media desk, Tel. +358 29 434 7123 

Mikko Alanko, VR FleetCare, Vice President, Digital Services [email protected], Tel. +358 40 862 2391
Marko Lehtosaari, FTIA, Specialist in Railway Maintenance, [email protected] 
Peter Guldbrand, VP Sales, VR FleetCare, Tel: 040 837 3886

VR FleetTCare

A multiple-brand rail fleet service-provider, VR FleetCare is a subsidiary of the Finnish railway operator VR Group. We provide our customers with quality railway traffic equipment repair, maintenance and lifecycle services as well as technical fleet expert services in the Nordic and Baltic countries. With an annual turnover of approximately EUR 200 million, VR FleetCare employs more than 1,000 employees.

Finnish Transport Agency
The Finnish Transport Infrastructure Agency is responsible for developing and maintaining the state-owned road network, the railways and the waterways. Through our tasks, which include maintaining the level of service of transport, we promote wellbeing in society and competitiveness of Finnish industry

Vire Labs
Vire Labs Oy is a Finnish technology company specialized in IoT and AI solutions. Developed by the company, Virebox.AI device and customer-specific software are capable of delivering sophisticated detection, measurement and remote control solutions. Vire Labs employs 12 people and has a turnover of 1.2Me.

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