Hydrological extreme situations are increasing worldwide. They lead to economic and environmental damages and require new approaches for the management of the water sector.
The aim of the collaborative project ZwillE is to develop methods and tools for the creation of a Digital Twin of an urban drainage infrastructure as a basis for pro-active management of extreme weather events in urban areas.
In this context, the term “digital twin” refers to a virtual image that reflects the current state of the mapped system on the basis of measured data and simulation models and enables a predictive scenario analysis by including forecasts of the most important influencing factors such as precipitation data. The Digital Twin will use an AI-based assistant to provide recommended actions for preparedness and for dealing with extreme weather events. The proposed recommended actions will be transparently explained to the technical staff via an explainable AI approach to improve comprehensibility and acceptance.
The prototypical development and subsequent validation of the overall system is based on the example of the drainage infrastructure of the city of Hannover.