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13. april 2023
Danmark skal forberede sig på mere ekstremt vejr i fremtiden. Ved hjælp af maskinlæring og kunstig intelligens vil forskere effektivt forebygge oversvømmelser.
January 2023 was the wettest month ever measured in Denmark – the development is a result of climate change and in the future we must prepare for handling even greater amounts of rain and waste water.
Read more (in Danish)
Visit at HOFOR on September 22, 2022 with participants from AAU, ITU, DHI, Biofos and HOFOR
The rapidly growing use of machine learning techniques in cyber-physical systems leads to better solutions and products with improved adaptability, performance, efficiency, functionality, and user-friendliness. In the project, the water system is considered a cyber-physical system, consisting of a physical reality – the water itself – and the infrastructure monitored and controlled by connected software and hardware elements.
Together with external partners, Aarhus Vand, HOFOR, Grundfos, and Seluxit, researchers from AAU and ITU aim to develop methods and tools that can, for example, control the discharge of water in rainwater basins into watercourses using advanced machine learning.
Project participants:
Professor Kim Guldstrand Larsen, AU
Professor Thomas Dyhre Nielsen, AAU
Professor Andrzej Wasowski, ITU
Postdoc Martijn Goorden, AAU
PhD student Esther Hahyeon, AAU
PhD Student Mohsen Ghaffari, ITU
Associate Professor Martin Zimmermann, AAU
Assistant Professor Christian Schilling, AAU
Head of Analytics and AI Thomas Asger Hansen, Grundfos
CEO Daniel Lux, Seluxit
Chief Innovation Officer, Kasten Lumbye, Aarhus Vand
Project Manager Kristoffer Tønder Nielsen, Aarhus Vand
Research and Business Lead Malte Skovby Ahm, Aarhus Vand
Engineer Mathias Schandorff Arberg, Aarhus Vand
Project Manager Gitte Rosenkranz, HOFOR
Senior Specialist Lone Bo Jørgensen
