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Showing TrendMiner at E2COMATION Consortium Meeting

Yesterday we could show at our E2COMATION meeting in Milano to the KEAS use-case the results of the very first live data integration into TrendMiner to enable analysis in perspective in energy saving and optimization. After being part of the Software AG research team for almost half a year, this is not only a personal milestone but also a solid project milestone since we can now overserve the entire production plant regarding energy consumption.
 
With TrendMiner, the self-analytics platform, employees at KEAS should be able to identify potentials to identify among others energy savings and process optimizations. So, the solution intends to empower process engineers, plant managers, and other non-data scientists to optimize operations all the time, anytime, using a new generation of model-free self-service industrial analytics, as a means to analyze operational performance without data modeling, as well as to recognize cause-effect-relationships and root causes, and create early warnings for.

Students work on E2COMATION in TU Seminar

We, the Human-Computer Interaction & Visual Analytics team, and I from the Software AG hold this semester the seminar “Visual Trend Analysis” at the TU Darmstadt in the department of computer science.

At this seminar, students will work on current research topics that also face the European research project E2COMATION, in which the Software AG is involved. The given topics address state-of-art research and trends toward energy management and energy consumption organization with ICT, especially in the production industry. After the last discussions regarding the goals of the seminar and the expected results, I am looking forward to learning new insights about existing research solutions that might be also interesting for the project as well.

The goal of the E2COMATION project is the improvement of industrial energy efficiency at the European manufacturing level which requires the integration of energy data with advanced optimization techniques to guide a company’s decision-making. E2COMATION intends to address the optimization of energy usage, at multiple hierarchical layers of a manufacturing process as well as considering the whole life-cycle perspective across the value chain. The solutions that will be developed in the E2COMATION framework will operate at all factory levels, from collecting information and data at the field level, to managing and optimizing production at the factory level, and even up to the factory network level.