KONUX Switch is a predictive maintenance system which helps infrastructure managers improve network availability, prolong asset lifetime, and empower their employees to make maintenance more efficient
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.
KONUX Switch is an end-to-end predictive maintenance system for rail switches. It 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 point machine 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 system based on machine learning estimates how the condition of switches will develop in the next 90 days. This allows you to detect early signs of degradation, plan ahead for inspections, 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.
Assess the effect of maintenance actions over time to find best practices and avoid failures or unnecessary activities. Discover which actions were successful and for how long to determine the most economical and sustainable regimes.
Monitor the health of your frogs and see which ones need the most attention. Plan timely intervention and prevent more serious and costly damage to your frogs, by detecting anomalies in the vibration data from the frog area of your switches.
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.
