Tag Archive for: APAMA

You are here: / / APAMA

Posts

2nd Project Review in E2COMATION

/in , , , , /by

Last week we had our 2nd project review in the now three-year ongoing European research project E2COMATION. As usual in such projects, the last view month required a lot of attention to complete the last work actions, deliverables, and of course the administrative reporting. And now it was to show the achievements to the EU project officer and the reviewers.

After the preparation day, we had a full day to show all our achievements and answer questions. As might be noted, in such a big project with big industrial actors as use-cases there were a lot of challenges to be solved and also alternative strategies and solutions to be elaborated.

As Software AG we are responsible for the two tasks. The first was about real-time analytics together with our solution APAMA, which my colleague presented. The second part was presenting the self-analytics results for what we use TrendMiner and this was on me. The goal of this task is to give production workers, who are not data scientists, the ability to analyze IoT data from the shopfloor and identify problems, solutions, and optimizations. Together with some principle architectural information I also gave a demo to show how the solution is practically used in the use cases.

E2COMATION Year-end Race

/in , , , , /by

The final steps in the race to the end of the year in the E2COMATION project are underway and the major milestones have been reached. Time to take a deep breath and review the results of the project.

I started working on the E2COMATION project about 1.5 years ago and since then there have been many challenges to overcome, first and foremost a common understanding of how all the technologies paired with the know-how behind them must ultimately work together. It started with the first executable individual small demos, then extended demos, then the first live connections, and now there are finished prototypes in the project. It is always exciting to see how the work, especially in the final phases, increasingly comes together to form an overall picture and how the functional possibilities increase exponentially.

I am particularly pleased to see how much Software AG‘s technologies, especially APAMA and Trendminer, create great benefits here. This is always getting very clear when application partners use the technologies and approach you with specific feature questions. You can see that the technologies are in practical use and now it is time to turn the technology functions into production results. Which is also the outlook for the coming year in the project.

I would like to take this opportunity to wish the entire E2COMATION team a peaceful Christmas season and a happy New Year.

3rd Year E2COMATION Project Meeting in Milan

/in , , , , /by

Last week we had our 3rd year E2COMATION project meeting in Milano. The focus laid on finalizing the implementation in the four use cases. Meanwhile, the SAG’s self-analytics solution Trendminer is used in the three use-cases KEAS, MAHOU, and ROYO to have a sensorial overview of what’s happened at the production, but also to identify possible opportunities to optimize the production and to identify anomalies, which might be solved, corrected or at least send warnings automatically with the SAG’s real-time analytics solution APAMA.

As a significant milestone, Trendminer is already fully connected and configured to consume the KEAS plant data, where we already have started discussing and preparing analysis views for certain behaviors that require some optimization and cause analysis. It is impressive to see how a graphical tool like Trendminer with simplified user-friendly analytical functions could help to understand certain behaviors at the plant and in the IoT date and find potential optimization strategies together with the domain experts of the company.

Showing TrendMiner at E2COMATION Consortium Meeting

/in /by

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.

Presentation at E2COMATION Consortium Meeting
Group Photo of the E2COMATION Consortium at the Y2 Meeting