Monitoring & analysis systems
Based on our self-powered technology platform
developed specifically for railway applications
How we can help you with Self-powered monitoring & analysis systems for railway
Condition monitoring analysis
Each sensor node collects the relevant data that allows the condition monitoring algorithms to calculate the current state of the asset and predict future failure modes.
Self-powered sensor nodes
The sensor nodes are equipped with Vibration Energy Harvesting (VEH) units that allows them to be completely self-powered and there are no need for external batteries or cables.
Designed for harsh environment
The entire platform is designed for usage in the railway environment. This means that each nodes is designed in accordance with IP69 protocols.
Our experience in the field
Designing and launching a condition monitoring system in the railway industry is a massive challenge for anyone due to the harsh environment. ReVibe has the necessary experience from industry standards and requirements to design customized self-powered monitoring systems that meet your needs.
The system has been designed to monitor wheelsets on rolling stock in order to avoid premature deterioration of critical components, and thus avoid breakdowns and derailments.
The system features connectivity through 4G to communicate the data. BLE is also used for the commissioning of each sensor node.
The system collects data continuously and processes the measurements in the cloud. This allows the system to run advanced condition monitoring and predictive maintenance functions and suggest appropriate measures to the client.
The systems utilises the GPS network to determine the position of the cargo wagons.
Each wagon is equipped with a self-powered GPS-node that continuously sends the data to a cloud service. The user can easily access the online dashboard and locate their cargo wagons and plan their process accordingly.
Phase 1 focuses on bringing an initial version of the system architecture decided upon in phase 0 to life. By isolating the key building blocks, we put together an early version of the system where we verify the functionality in a controlled environment.