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Wolfgang Seis (Kompetenzzentrum Wasser Berlin) FIWARE_Tegel_Seis.pptx.pdf
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Last year we founded our German speaking community meetings for FIWARE users and interested peers. Join our impactful group from Germany, Austria, and Switzerland, share your expertise, learn from each other and get impulses and news from keynote speakers. Being part of the networking group for DACH allows you, together with your peers, networkers and co-creators: develop your business, impact the next developments and use cases, and find new ways of connecting. It is invaluable for finding out what is happening within your industry and geography, and providing new ideas for the future expansion of your core business. Our aim is to create a self-sustainable, growing and impactful group using such meetings for business, as a think tank, best-practise exchanges, and direct involvement. The very first German-speaking Networking Group (Netzwerktreffen) kicked off on Oct 19 under the SCCON roof with over 50+ participants joining in person followed by food and drinks. You can check the video on our Youtube. This meeting took place in Berlin TXL: on the site of the former Berlin-Tegel Airport, the Urban Tech Republic, an innovation park with universities, research and start-up centers, and the Schumacher Quartier, a social-ecological model residential quarter, are being built. We are planning a site visit of the Berlin TXL post-use project with FIWARE as a smart city platform. We covered such hot topics as Open source, Digital twins, Smart cities index, Sustainable development, etc.
Wolfgang Seis (Kompetenzzentrum Wasser Berlin) FIWARE_Tegel_Seis.pptx.pdf
- SWIM:AI: Vorhersage der Badegewässerqualität “Powered by FIWARE”
- Frühwarnsystem zur Vorhersage der Badegewässerqualität • Machine-Learning Modelle • Nutzung frei verfügbarer Umweltdaten Charakteristika • Web-basiert + Open-Source • FIWARE kompatibel 🡪 Sicherstellung der Interoperabilität • Anpassbar an verschiedene Wasserqualitätsstandards SWIM:AI
- Anlegen eines neuen Badegewässers
- Anlegen von Vorhersagevariablen Typische Vorhersagevariablen: Regen, Durchfluss, Einleitungen von Klärwerken …
- Interaktive Gruppierung von Variablen Räumliche Gruppierung benachbarter Messstationen
- Modell: Training und Auswertung Random Forest Modellierung
- Modellevaluation Beispiel: Flussbadegewässer in Deutschland (NRW)
- Vorhersageanalyse Validierung der Modellvorhersagen
- Datentransfermodul (powered by FIWARE) (by SINTEF)
- Datenmodelle •FIWARE Smart Data Models: • WaterQualityObserved • WaterObserved • WeatherObserved • WaterQualityPredicted (new)
- www.kompetenz-wasser.de @kompetenzwasser @Kompetenzzentrum Wasser Berlin Kompetenzzentrum Wasser Berlin gGmbH Cicerostraße 24, 10709 Berlin Wolfgang Seis Nico Caradot wolfgang.seis@kompetenz-wasser.de https://github.com/KWB-R/swim-ai Open-source and open for contributions at: