Knorr-Bremse and DB sign intelligent data agreement

data cooperation agreementKnorr-Bremse and Deutsche Bahn signed a data cooperation agreement on the intelligent use of train operating data and vehicle subsystem data.

The agreement has an initial term of three years and aims to use big data insights to enhance condition-based maintenance of vehicle fleets.

“In the context of the ongoing digitalisation of the rail sector, data-based products and services have huge potential to add value for customers and enable further operational optimisation 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, Chairman of the Management Board of Knorr-Bremse Rail Vehicle Systems said.

The aim of the partnership is to make it possible to call rail vehicles into the workshop at the exact point in time when a system or component requires maintenance. The key to this is the condition-based maintenance system envisioned by the cooperation agreement, which will enable even more targeted and needs-based maintenance cycle planning. It also has the potential to reduce train downtime by minimising the time that vehicles spend in the workshop.

Deutsche Bahn is aiming to use the data to increase vehicle availability and optimise its vehicle maintenance cost structures. The focus for Knorr-Bremse RailServices is on enhancing its digital and value-added services. These include condition monitoring of onboard vehicle systems, wear prediction, and the corresponding software support, for example for door controls installed in double-decker cars. In order to deliver the desired maintenance improvements, the data cooperation agreement provides for the use of existing vehicle and system data and for the collection of additional data in the future.

“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,” said Mark Cleobury, Member of the Management Board of Knorr-Bremse Rail Vehicle Systems.


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