And not only that: Because the regional unloading of many vehicles during a shift change is only the first hurdle; the subsequent provision of data within a complex and increasingly dynamically organized development organization represents a further test bed for every measurement data management system, this applies to the entire industry in particular but also to global players in the automotive industry. The test engineer, who, for example, is in charge of a hybrid powertrain, does not only need the data of a single prototype, but is currently interested in all kickdown operations (= threshold switch on the accelerator pedal to rev up the engine for optimum acceleration) as well as ABS-assisted emergency braking in the entire test fleet comprising several hundred vehicles. And all this as soon as possible after their recording on up to three continents, somewhere between the polar and tropic. “The hub-and-spoke architectures traditionally used for such requirements are hopelessly overtaxed by the bandwidths required for automotive measurement data," says Dr. Christoph G. Jung, Principal Architect in the Digital Solutions unit at T-Systems.
In partnership, T-Systems and Daimler have found a surprising solution to these important challenges. The carmaker's development engineers worldwide can now analyze this gigantic data stream “in situ” and thus in near-real time. The concept is called Edge Computing, which instead of transporting the data to centrally located users, transfers the analysis algorithms to the producers in the field, in this case to the test tracks.