Intelligent monitoring, alerting and evidence documentation for vehicles, tracks and track components.
Our solutions create transparency about the mechanical interaction between wheel, rail, sleeper and substructure. Relevant events, unusual loads and developing changes are detected during regular operation, precisely localized and traceably documented.
This creates a robust data basis for what happened, when and where - including timestamp, position, measured values, vehicle reference and the signal trace around the event.
ACS and ACSA sensors with an integrated AI core are used. They analyze accelerations, vibrations, mechanical shocks and other measured variables directly at the sensor.
This allows relevant events to be detected, classified and reported locally with very low energy consumption. Instead of continuously transmitting large volumes of raw data, only the events relevant for assessment, alerting and evidence are captured together with their context.
RAILCTX is permanently or temporarily integrated into the vehicle and combines local event detection with direct response and cloud connectivity.
The system can:
In the Parametric Cloud, the data is intelligently evaluated, linked with further operational and contextual information, and prepared for analyses, alerting and external systems.
RAILCTX is particularly suited for applications that require fast local responses, continuous vehicle data and direct integration into operational systems.
MOVCTX is a compact, battery-powered device for flexible, energy-efficient monitoring applications.
Data is transmitted via LoRaWAN:
MOVCTX is suited for temporary measurements, remote installations and applications without local power supply or existing communication infrastructure.
Thanks to intelligent event detection in the ACS or ACSA sensor, energy consumption remains low while relevant occurrences are reliably detected and reported.
Every relevant event can be assigned in time and location and documented together with its associated measurement data. This allows incidents to be objectively assessed after the fact, causes to be narrowed down, and observations to be compared with inspections, runs, vehicles or maintenance work.
The combination of local AI, flexible communication and intelligent cloud evaluation enables:
The result is a faster response to critical events as well as improved availability and safety of rail operations.
We are happy to speak with you.