Remote monitoring and predictive maintenance for infrastructure & signalling
Reducing failure-to-come and downtime using data-driven insights
As rail networks around the globe continue to cope with increasing market requirements (availability, loads, sustainability…), ageing infrastructure and signalling systems, traditional manual inspections are no longer time or cost effective, even more with the decreasing personnel availability.
Rail infrastructure managers need to rely on very complex maintenance plans where digitalisation can play a significant role if deployed in an effective and proactive manner. This is where we come in.
Our IoT solution rely on 3 pillars: wireless and battery powered industrial sensors, wireless communications, and a software platform with AI capabilities at each level. With a modular approach, generic and off-the-shelf IoT devices, we can address a lot of different use cases, delivering them in a minimum time period for rapid deployment and return-on-investment.
We help you take a step forward toward condition-based and predictive maintenance for your rail infrastructures and signalling systems.
Benefits of our solutions
Collect real-time data in operating conditions.
Easy implementation with wireless, autonomous, cable-free and non-intrusive IoT devices.
Increase your visibility on failures-to-come to minimize maintenance costs and improve service availability.
Extend your systems lifetime. Reduce life-cycle costs.
Complement your offering to enhance value for customers.
Examples of use cases
Battery voltage monitoring of rolling stocks
Remote monitoring of the voltage level of the batteries to prevent their drainage and the associated consequences (deterioration, immobilization, etc.) … →
Remote surveillance of rail temperature
Wireless real-time door monitoring in train
Guarantying the safety of passengers, optimizing maintenance, monitoring the status of doors remotely and scheduling interventions thanks to real data… →
Our solutions portfolio
Discover below the building blocks of our modular solutions. Combined, they form a tailored and optimised answer to you specific needs.
Oxygen – Cloud Platform
From device management to visualisation and prediction, OXYGEN unlocks data’s potential and turn them into intelligent and actionable information.
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Railnode is Stimio’s certified rail solution for collecting data and delivering them to Oxygen and business information systems.
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Railnet is our rail certified gateway to connect sensors and on-board equipment for rolling stock, already in operation or new ones.
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SIDM is Stimio’s wireless and non-intrusive connected device to monitor signaling cable isolation drift, locally or via a cloud application
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Aquawatch is Stimio’s flood detection solution for professionals. Our connected device measures the level and speed of rising water with an extreme accurary.
Learn more →
Oxygen end-to-end general overview
Our value proposition
A generic and modular software-driven sensor system with Edge-ML capabilities to address a wide range of use cases
Enriched data integration into your EAM/ IT systems
Embedded OXYGEN SDK to develop your own application in minimum time
A well-proven expertise with major infrastructure managers and rolling stock operators
OXYGEN Cloud combining data analytics and AI-based prediction algorithms
A Return-on-investment between 6 to 24 months.
They already trust us
What is your concern about ?
→ Wayside : catenary temperature and tensioning, frost prediction, rail temperature and defects, etc.
→ Trainborne : level monitoring (oil, waer, sand…), doors opening and closing, air pressure and hvac, pantograph lifting, battery voltage, etc.
→ Signaling : surveillance de pédale électromécanique, cable isolation drift monitoring, shunt sytems, etc.
Contact our team
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