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Railway

Monitor, anticipate, react.

Solutions for proactive management and the security of railway infrastructure.

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 The challenges of the railway sector





The deterioration of tracks, bridge deformations, concrete aging, and moisture issues are just some of the challenges faced by the railway sector. These phenomena can lead to safety risks, high maintenance costs, and significant delays.



Approximately 20,000 safety incidents are reported annually on the French railway network.

Railway monitoring
a daily challenge
 

Wear, material fatigue, environmental influences, vibrations, and the length of railway networks are all factors to consider in order to avoid potential issues.


Continuous and precise monitoring is therefore essential to prevent any risk.


Thanks to FEELBAT's connected sensors, data collection is automated and real-time, thereby limiting human interventions.

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Continuous
and Connected Monitoring with FEELBAT


Our connected sensors, such as the DELTA R, the DELTA X-P and the DELTA X-L 100, continuously collect essential data, transmitting it in real-time for constant monitoring. The DELTA R accurately monitors inclinometers and detects deformations in railway infrastructures, the DELTA X-P tracks variations in the water table, and the DELTA X-L 100 is designed to measure large-scale cracks, ensuring thorough monitoring of the most sensitive structures.

This approach significantly reduces the need for manual checks, thereby increasing the accuracy and efficiency of monitoring.

Furthermore, our alert system for exceeding critical thresholds protects workers, assets, and equipment by sending you mobile notifications.

By providing continuous monitoring, our sensors offer not only a way to enhance safety but also more efficient maintenance in an environment as complex as that of the railway sector.


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Risk reduction
and cost optimisation


Our connected sensors make it easier to monitor many hard-to-reach areas. Thanks to their integration with our platform, data reading and management become simpler and more cost-effective. ​

This centralised approach helps to reduce risks to personnel and equipment, while limiting manual interventions in potentially hazardous areas.

Thus, our system ensures enhanced safety for teams while optimizing resource usage. 

It also provides increased responsiveness by quickly detecting any abnormal changes in the monitored structures.

Il offre une réactivité accrue en détectant rapidement toute évolution anormale des structures surveillées.

 

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An intuitive monitoring
for optimal monitoring


By integrating our connected sensors, we offer an advanced monitoring solution that combines continuous tracking with a simple and accessible user interface. This technology allows for easy monitoring of structural changes and quick detection of any anomalies.

Our system also offers the ability to set customised alert thresholds based on the specific needs of each site. When a threshold is crossed, an instant notification is sent to the relevant teams, facilitating a quick and effective response.

This approach enhances safety while reducing the risks associated with structural instabilities. It also optimises the management of interventions, thereby limiting costs and the exposure of personnel to hazardous environments.


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Our solutions

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A web & mobile application

The FEELBAT application is the only mobile app that brings together all the tools in a single, easy-to-use solution.

It gives you the opportunity to install your crack or tilt sensors, configure them, and monitor your structures in real time whether you are remote or not.

The best part? Receive alerts if the threshold is exceeded and edit reports in just a few clicks!

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Need more information?

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Use case

As part of monitoring structural instabilities on natural sites, it is essential to instrument at-risk areas to detect the evolution of cracks and potential deformations.

This project aims to monitor several critical sections of the railway network to ensure the safety of infrastructures and users.


Discover the use case