photo: https://images.app.goo.gl/SFFuP1Ei6W7GQ8Qy7/Knorr-Bremse
A cooperation agreement on the intelligent use of train operating data was signed by those two major railway market players. An intelligent use of train and vehicle data would allow to establish a condition-based scheme of maintenance for railcars and reduce maintenance costs.
The three years agreement with DB makes Knorr-Bremse more strengthen on the OEM railcar parts market and aftermarket. Analysis and utilization of train operating data and vehicle subsystem data, and value-added services based on data insights will help them to deliver even better rail vehicle availability.
To achieve this goal, the fleet maintenance system must be set up so that maintenance cycles can be planned according to specific needs. This could lead to significant financial savings. This would reduce train downtime and minimize parking time in the workshop.
“In the context of the ongoing digitization of the rail sector, data-based products and services have huge potential to add value for customers and enable further operational optimization of the overall rail system. As a system supplier, we are continuously expanding our portfolio in this important strategic area and are delighted to have signed an agreement on the intelligent use of vehicle data with our partners at Deutsche Bahn,” Nicolas Lange, the Chairman of the Management Board of Knorr- Bremse Rail Vehicle Systems, said to media.
It is the DB that seeks to set up a maintenance system to increase vehicle availability through the data obtained. Knorr-Bremse Rail services focus on its value-added digitization services, which it wants to further improve. These services include, for example, monitoring the condition of rolling stock on-board systems and wear prediction and corresponding software support. This applies, for example, to a door control system installed in double-decker cars. Under the agreement, Knorr-Bremse Rail will collect current vehicle data and other data. This will make it possible to achieve improvements and better maintenance efficiency.
"The agreement with Deutsche Bahn is an outstanding example of how smart vehicle and fleet data processing and the insights that it provides into the condition of onboard systems can be used to optimize maintenance intervals and costs," explains Mark Cleobury, the Member of the Management Board of Knorr-Bremse Rail Vehicle Systems.
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