Where can Smart Monitoring help?


Increase the safety and longevity of critical infrastructure by analysis.

Your challenges


Plan maintenance intervals

"I have to plan the maintenance of the track system correctly in order to ensure a long service life and ensure the quality of the transport network."


Avoid interference

"I have to avoid interruptions to the train journey (dissatisfied customers) or accidents on the route (even personal injury)."


Identify defects

"I have to identify defective areas in the system and find out the cause in order to be able to rectify the error."


Monitor operations

"I want and need to know if something is not going according to plan, in order to guarantee that operations run on schedule."

This is how smart monitoring helps

Better resilience of
critical infrastructures

Smart monitoring improves the resilience of critical systems and their processes through condition monitoring and predictive analyzes of assets. These include, for example, the lighting on the route, the tracks or the vehicles themselves. Early detection of defects and predictions about their development can increase safety and extend the service life of the systems. Thanks to seamless integration into existing monitoring systems and various IoT devices - whether for static or moving goods - you always have an overview of all systems.


More transparency and better planning


A digital twin of the transport infrastructure brings together all sensor data in one model. With the help of AI, defects are detected and classified at an early stage. The categorization of error types and their emergence makes it possible to predict potential track problems on the railway line and to transmit them to the service team together with the GPS coordinates. In this way, defects can be rectified at an early stage before they lead to major failures.

Plan maintenance
and make it more efficient

Well-maintained infrastructures last longer. Permanent monitoring with Smart Monitoring enables maintenance work to be planned more effectively and carried out more efficiently. This is because it helps to identify potential problem areas at an early stage and to deal with them in a targeted manner - before a costly and lengthy replacement of larger parts of the infrastructure is necessary.



Smart Monitoring supports you in complying with legal regulations, for example with regard to tunnel lighting: The quality of light in train tunnels is monitored in real time. If the light intensity is insufficient, appropriate service processes are automatically triggered. In addition, a forecast of lamp maintenance helps avoid lighting failures.

Want to see Smart Monitoring
in action?

Contact us for a free demo – no strings attached.


Case Study: Predictive Maintenance

Recognise abnormalities
in rails

A failure of critical infrastructures such as railroad tracks is associated with high costs, customer dissatisfaction and damage to the operator's image. At the same time, it is time-consuming to monitor a rail network of hundreds of kilometres in length. Based on fine-grained vibration data and GPS coordinates of the train, the Smart Monitoring System detects track defects, classifies them and transmits them to the maintenance team with historical data. The information received helps to identify and assess problem areas on the route and to plan maintenance work. By recognising even small defects, critical points can be observed before they become a problem. In this way, maintenance work can be optimised and its quality checked. Maintenance is also becoming more resilient. In exceptional situations such as a skeleton staffing of the maintenance team, the rail network operator still has an overview of the state of the rail network and can react effectively and purposefully.

Where can Smart Monitoring help?



Optimize productivity and quality through data-supported forecasts and maximum transparency


Industrial buildings

Improve compliance and working conditions for people and machines with lower maintenance costs

Start now with
Smart Monitoring