Ride the future of railroad maintenance

How can rail operators and rail OEMs benefit from digitalization and embrace predictive maintenance in railways with smart industrial IoT solutions?

Predictive maintenance in railway tracks_railway tracks with no trains

Achieving optimal rail track availability and reliability

Optimizing railway asset maintenance is essential for a safe, reliable, and profitable rail infrastructure. In most countries, the rail fleet is operational for about 30 to 50 years and maintenance of the tracks accounts for about 50% of the total cost. Therefore, the main objective for rail infrastructure is to optimize track availability, which means ensuring that the rail fleet is operational for as long as possible. Efficient work processes and maintenance enable the optimisation of track capacity.

predictive maintenance in railway tracks - image of a train on a track

Get started with predictive maintenance for the railway infrastructure

Due to competitive pressure and overcapacity in production facilities, rolling stock OEMs seek growth in new service business models. Predictive maintenance in railways offers rolling stock OEMs new revenue streams by offering intelligent solutions through IoT sensors which collect real-time data.  This creates a great opportunity to improve railroad operational efficiency by reducing the number of equipment failures, unplanned railway maintenance and reduce maintenance costs.

Get on track with
predictive maintenance in rails
safer railroads
reliable rail operations
Predictive maintenance in railway tracks_detecting vibration anomaly

Endless possibilities with predictive maintenance in the railway industry

  • Real-time monitoring of railway assets with IoT sensors 
  • Identify the health of a turnout to optimize the maintenance and replacement strategy of rail assets
  • Actionable data on how to optimize track availability and reliability
  • Optimization of existing railway maintenance processes through data analytics
  • Reducing life cycle costs by efficient use of rail assets
  • Prevent damage to rail infrastructure

Industrial IoT sensors for the railway industry

Having the right information about your rail assets is essential for delivering a safe, reliable, and profitable rail infrastructure. Through a series of vibration, temperature, acceleration and more get the right railway maintenance tools to optimize your railway operations. Our custom-made industrial IoT sensors for railways can measure:

  • Displacement of rails
  • Buckling in railway tracks
  • Tear and wear of train wheels
  • Train detection
  • Train speed
  • Tear and wear of automatic road barriers
predictive maintenance in railways - Blurred high speed train on the railway station at night
predictive maintenance in railway tracks_Dual Inventive ZKL 3000 RC T-COD Track Circuit Operating Device
smart railways tracks_High speed train in motion on the railway station at sunset

Get the most out of your railway assets

  • Real-time monitoring of railway assets 
  • Optimal track availability and reliability
  • Optimized maintenance days
  • Streamlined rail operations
  • Reduce track downtime and related costs

Whitepaper Coming Soon! Trends in the Digital Railway Market

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Digital railways include the digitization and transformation technologies that are used to modernize railway operations, automate the ticketing process and customer support, prepare maintenance schedules with self-learning algorithms, and manage rail traffic. 

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Customer cases

Lex van der PoelManaging Director

We supported Dual Inventive with industrial design for their innovative railway technology, which reduces the international capacity problem and makes railroad maintenance safer.

Dick van de VenProduct Design

To prevent eggs from breaking during transportation, Sensorfy developed an electronic egg packed with motion and vibration sensors. These sensors register all movements of a fresh egg on the conveyer belt.

Supplier Door SolutionsGlobal Manufacturer

To ensure an operational time of over 98%, Sensorfy equipped automatic sliding doors with with vibration sensors. Our customer is now able to schedule maintenance well in advance and prevent unplanned downtime.

Bernardus HoltropManaging Director

Together with DBI, Sensorfy developed a real-time access control mechanism for industrial waste containers. The control system is connected to the cloud 24/7 and helped DBI to improve customer satisfaction significantly.

Transform your rail operations with Sensorfy

We’ve built a smart predictive maintenance IoT platform that ensures the highest industrial IoT standards for the rail industry. We integrate smart wireless sensors and advanced analytics to enable predictive maintenance to monitor your rail assets in real-time. 

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