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Industrie 4.0

Data analytics for the fourth industrial revolution, such as proactive service and maintenance of production resources or finding anomalies in production processes.

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Medicine

Data-driven aspects of medicine are explored, such as the need-driven care of patients or IT controlled medical technology.

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Smart Infrastructure

Untersuchung datengetriebener Aspekter städtischen Lebens, bspw. der Verkehrssteuerung, der Müllentsorgung oder der Katastrophenbewältigung, bedarfsgesteuerte Optimierung von Verbrauchsmodellen, basierend auf Daten intelligenter Stromzähler.

Featured Projects

  • SDSC-BW: Smart data analyzes reduce maintenance intervals for milling machines

    The Hermle AG develops systems that record the machining center as a central parameter, providing information on the condition of the components. This information is analyzed and evaluated accordingly. This can help prevent downtime and precisely determine the need for maintenance. For a smart data analysis of the Smart Data Solution Center Baden-Württemberg (SDSC-BW) data from several machines were provided for a period of 12 months. The initial analysis focused on classifying the state of the axes of the processing center and thus identifying potentials for automated remote maintenance. The second step involved the evaluation by means of supervised learning methods (for example decision trees). The aim of the SDSC-BW experts was to use the data for the prediction of machine problems (predictive maintenance).

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  • Analytics for a Smart Air Quality Network

    The project “Smart Air Qualitiy Network” (SmartAQnet) is based on a pragmatic, data driven approach since the existing data treasures of mcloud.de are combined for the first time and linked with a networked mobile measurement strategy.

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    Ports as Intelligent Logistics Hubs

    This project is part of the Transforming Transport EU lighthouse project. The TransformingTransport project will demonstrate, in a realistic, measurable, and replicable way the transformative effects that Big Data will have to the mobility and logistics market.

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  • Trelleborg_SDIL

    Condition monitoring and prediction of sealing systems

    Trelleborg Sealing Solutions carries out numerous, fully instrumented, tests of these seals and sealing systems. Measured variables, such as pressures, temperatures and velocities, are measured at various points in a very high frequency. The tests carried out and planned represent an extensive data base, which offers great potential for the application of big data analytics.

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    Optimization of product quality at OSRAM Schwabmünchen

    An important goal in the implementation of an industry 4.0 strategy is the optimization of production to further increase the quality of the produced product. Using data analysis of the production parameters, sensor data, test protocols and their interdependencies forecasts and rules for the production can be created.

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