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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

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    Condition-Based Maintenance

    The enterprise “TRUMPF Machine Tools” is the global leader in the production of machine tools for sheet metal forming (laser, punching, and bending machines). At specified, but irregular intervals a “digital image” in the form of a data collection of logging and configuration information is created in a TRUMPF machine tool. Using these data, the project being planned aims at detecting deviations (anomalies) from the so-called “normal operation” and revealing correlations to yet unknown factors.

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    Association Rule Mining for High Dimensional Master Data

    Traditionally, organizations are using rule-based approaches to discover defects in Master Data. The definition of these rules is expensive for organizations and constrained by the availability of resources with the right domain expertise. The aim of this project is to evaluate with recourse to suggested validation rules the applicability of approaches like association rule mining as a way to support Master Data domain experts.

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  • VDAR

    VDAR: Distributed Decentralized Autonomous Control Systems for Distributed Energy Markets

    The VDAR-project goes back to the framework project “Software Campus” supported by the Federal Ministry of Education and Research (BMBF). Within the scope of the VDAR-research project,control concepts have been explored that combine the economic system of the electricity market and the physical system of the electricity grid in a decoupled control circuit. The aim is to ultimately improve the availability of energy.

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  • SDI-X: Smart Data Innovation Processes, Tools, and Operational Concepts

    The BMBF-funded project “Smart Data Innovation processes, tools and operational concepts (SDI-X)” explores appropriate tools and best practices. The aim is to not only facilitate extensive data analysis projects between different research and industry partners but also enable their prompt implementation. The results of the projects will be fully integrated into the SIDL and its projects.

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    Smart Data Solutions for Producing SMEs in Baden-Württemberg

    The project is funded by the Ministry of science, research and art Baden-Württemberg (MWK) as part of the Smart Data Solution Center Baden-Württemberg (SDSC BW) to explore the use of suitable Smart Data technologies for producing SMEs. The project’s aim is the research of a simplified access to Smart Data technologies to facilitate the use of these technologies for SMEs. The results of the conducted Smart Data analyses of real industrial data sets are published in the form of public success stories.

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