From big data to actionable insights: Railnova introduces Railgenius. Railgenius is our real-time monitoring and predictive diagnostics platform that helps clients to apply logic to their data, and to detect, analyse and confirm anomalies.
To harness the benefits of AI and big data analytics breakthroughs, engineering teams and purchasing departments should negotiate the rights to interfaces documentation, bus mappings and train logic when purchasing new rolling stock. Relying on OEM telematics alone is not enough.
Theta International is Railnova’s relay for Australian and New Zealand railway undertakings. They are trusted advisors to transportation and oil & gas companies and specialise in supplying innovative solutions to reduce the cost of maintenance and operations.
Alvaro José Zevallos Román, independent digital transformation expert, joins partner program of Railnova
Alvaro Zevallos is an acclaimed expert in the railway sector and is passionate about helping railway companies reach their digital transformation business goals.
With the Railnova partner network, Railnova puts itself at the service of technology consulting firms, railway experts and IT departments to accelerate asset digitalisation at railway organisations.
On April 6th the next GPS week number rollover will take place. But, what does this mean for the real-time monitoring of your rolling stock? Railnova has deployed the necessary software updates to properly deal with the rollover, but has your rolling stock supplier done the same?
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.
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.