Der Winter naht, und zum Glück müssen wir uns nicht vor den Weißen Wanderern fürchten. Was wir aber im Auge behalten sollten, sind die bei den kalten und strengen Wetterbedingungen immer häufiger auftretenden Batterieausfälle an Lokomotiven.
Railway operators are now able to better understand the driver’s experience, follow up on the condition of their rolling stock during service, and provide accurate diagnosis and actions from the control room.
Obwohl es sehr verlockend sein mag, den einfachen Weg zu wählen und nur zeitbasiert Wartungen durchzuführen, laufen Sie Gefahr, dass Ihre Fahrzeuge entweder zu oft oder zu selten gewartet werden.
As a railway operator and transit authority, the temptation of predictive maintenance, IoT and AI is often irresistible. However, it's important not to lose sight of what's reality and and what's fiction.
How can edge computing be used in rail: from failure detection to in-service support and usage-based maintenance.
Remote monitoring equipment developed by Railnova is providing a centralised system for fleet diagnostics and is now in use on more than 1000 locomotives and trains across Europe. It is also supporting the shift to predictive train maintenance.
As an increasing number of people are choosing to travel by train and lines are getting busier, it’s paramount to prevent anything that might cause delays and to be very responsive in case of unforeseen events.
How do you ensure that nothing slips through the cracks when it comes to managing your fleet? Railnova enables railway organisations to stay on top of their entire maintenance workflow on one centralised platform.
The latest updates to our Railfleet software platform will enable you to follow up on your assets, asset availability and your maintenance workflow with more ease and precision.
Railnova’s CEO Christian Sprauer was featured in CNBC’s IOT: Powering the digital economy documentary alongside the Head of Digital Innovation at BMW.