Railway networks have to cope with increasing load and aging infrastructure. As maintenance needs get more frequent, manual inspections don’t suffice to detect them in advance. Switches are the most critical part of the rail infrastructure, causing approximately 20-30% of infrastructure-related delay minutes and costing €12bn a year globally to maintain and replace.
The KONUX system is an end-to-end solution which uses IIoT devices and artificial intelligence to improve network capacity, extend asset lifetime and reduce costs. It continuously monitors and analyzes the health of key switch components such as the trackbed, and frog, and provides actionable recommendations. It ultimately allows for better maintenance planning by helping infrastructure managers anticipate failures before they happen and know the optimal time and type of maintenance needed.
The dashboard gives you a 24/7 overview of all your critical assets and their condition. This allows you to see at a glance what the most recent and important events are and which ones you need to take action on.
Our advanced system based on machine learning technology can estimate how the condition of switch components will develop in the next 90 days. This allows you to detect early signs of degradation, plan ahead for an inspection, and prioritize maintenance on the most urgent assets.
Always know your switch usage at a much more granular level to adjust the planning of inspections, maintenance, or replacement cycles. You can see which switches are being over- or under- inspected and take action.
Compare the impact of tamping, grinding and welding actions to find best practices and avoid repeat failures. Discover which maintenance actions were successful and for how long to determine the most economical and sustainable regimes.
Plan timely intervention and prevent more serious and costly damage to your frog, by detecting anomalies in the vibration data from the frog area of your switch.
"The insight to see how effective maintenance has been is key to optimize our maintenance measures."
Rolf Härdi
Chief Technology and Innovation Officer, Deutsche Bahn
Each of our internet-of-things devices can easily be deployed in the field in under ten minutes. They are autonomous and durable, with a battery life of four years. The sensors are mounted directly onto the track sleeper and continuously measure key parameters such as vibration and acceleration without disrupting regular traffic operation.
