With smartRAIL is a special device for condition monitoring and condition-based maintenance in rail transport. It can monitor the condition of individual safety and availability-relevant components as well as complete rail vehicles or entire rail fleets. In this way, necessary measures can be initiated at an early stage and problems minimised.
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smartRAIL compact
- Seamless, loss-free data recording
- High computing power through quad-core processor
- Little space required, low power consumption
- Non-reactive connection
- M12 connector
- Passive cooling concept up to 85° Celsius
Completely railway certified
smartRAIL is based on the smartMINIbut is adapted to railway-specific requirements. It uses the M12 connectors designed for railways, has an acceleration sensor in addition to the GPS, and can be connected via external MVB adapters and I/O modules simply expand.
smartRAIL is certified according to railway standard EN 50155, EN 45543 & IEC 61373 (for detailed information see technical data sheet)
Specialized Apps
The logger functions are configured via intelligent apps that can be reloaded into the device software at any time. In addition to standard apps and an integrated odometer/running odometer, the device offers smartRAIL pre-configured apps for railway applications:
- Vibration measurements, especially on freight wagons
- Acquisition of torques and speed curves
- Recording of transaction data
- Monitoring of battery and on-board voltage
Without data loss
smartRAIL is specially tailored to the high requirements of rail transport. Data is recorded without gaps and is not lost even if the mobile phone connection is interrupted.
optiMEAS security concept
- Redundantly executed real-time Linux distribution
- PowerController with watchdog function
- Secure data storage through special streaming method
- SD card as ring memory
- Encrypted internet transmission via HTTPS and SSL
Typical applications
- Localization of locomotives and wagons
- Fleet management
- Monitoring of drives, battery voltages, doors & toilet tanks
- Running odometer
- Temperature and climate monitoring
- Processing of very many data channels
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use case
Data analysis and predictive maintenance for rail vehicles
Together with optiMEAS, DB Systemtechnik GmbH is developing a predictive maintenance system with the aim of predicting the 'state of health' of relevant drive components of ICEs and being able to schedule targeted maintenance work in the depots and workshops.
For this purpose, smartRAIL data acquisition systems in connection with smartI/O-modules of optiMEAS are installed. The measurement data is acquired at high sampling rates and stored in the central cloud (optiCLOUD(called FALKOS at DB) are provided as historical data for analyses.
Every day, around 50 gigabytes of data come together. In order to be able to process this amount of "big data" according to the models, DB uses an analysis cluster based on Hadoop for parallel processing. Current methods for machine and deep learning and parameter determination for neural networks are used. Technologically, open source frameworks such as Tensorflow or Keras are behind it.
In order to be able to apply artificial intelligence in practice, perhaps the most important component is the domain knowledge from the specialist departments and workshops. This is also the experience of the engineers at DB Systemtechnik: only by combining mathematics, IT and application knowledge can patterns be identified that allow anomalies to be recognised and recommendations for maintenance to be made.
Through the cooperation with optiMEAS we have already learned a lot about the vehicles, which can be used for maintenance planning and improves the quality and availability of the fleet.
Rico Gottschald
Physicist and data analyst / DB Systemtechnik GmbH
Technical data sheet: smartRAIL