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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 on sensor data support the production of packaging solutions

    HHard film products are produced via so-called calenders, large heated or cooled rolls, through which the raw material is passed. In this investigation, the focus was on the data of such calender systems, equipped with rotation and temperature sensors on the rollers. For the smart data analysis of the Smart Data Solution Center Baden-Württemberg (SDSC-BW), the hard-film manufacturer Bilcare collected high-resolution sensor values from different calenders over a period of six months and made these available to the data analysts.

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  • SDSC-BW: Smart Data supported campaign analysis for marketing

    With the speed in which IT topics are now being pushed forward, even media companies have to adapt more quickly and become flexible. In particular, this includes marketing and sales activities in order to keep the customers satisfied and to raise further potential. For the analysis project of the Smart Data Solution Center Baden-Württemberg (SDSC-BW), the Huber publishing company provided anonymised information about the concluded contracts of their services. The contracts and customer data, as well as the related marketing activities, were collected over a period of 72 months. In total, information from 943 database tables was processed and a quarter of a million data sets were analyzed and evaluated.

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  • 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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