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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:

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