datenFLUT: The solution for heavy rain.
To prevent the flood, the solution is obvious: data. With the help of data, it should be possible in the future to predict heavy rain events.
The consortium partners.
News at datenFLUT.
You want to learn more about the project? Take a look into our press release.
The challenge.
The most recent high water and flooding in the context of heavy rain events in the summer of 2021, but also the events of 2018 in Saarland that have not yet been forgotten, have shown how immensely important flood protection is for the municipalities, city, state and federal government. Heavy rain events in particular are often locally limited and the quality of the forecast depends on many local factors such as the surrounding areas used as precipitation storage or the soil conditions. A functioning IoT sensor system in the event of a disaster, but also predictions for decision-making, but also for infrastructure planning are indispensable.
The goal.
The “datenFLUT” project aims to develop an IoT-based modular demonstrator for real-time data acquisition from IoT sensors (Internet of Things) in the field of flood events.
For this purpose, various modular measuring sensor systems (level meters, flow sensors, pressure sensors, radar sensors, ultrasonic sensors, monitoring of inlets) are to be used in the demonstrator in combination with sensors for recording precipitation (so-called tipping bucket – rain collector with tipping bucket).
The data collection and the review of the data quality should serve as the basis for the conception of a real-time early warning system for a further follow-up application, in which the IoT (Internet of Things) and the perspective use of artificial intelligence (AI) play a major role, which all relevant components. In this preliminary project, the first foundation stones and methods for flood and flood early warning systems are to be developed jointly and collaboratively.
The aim is to use this demonstrator to develop the methodical concept for a real-time early warning system in which IoT sensors (Internet of Things) and the use of artificial intelligence (AI) play a key role. Various level meters (pressure sensors, radar sensors, ultrasonic sensors) are to be used in combination with rain collectors. The watercourse is to be monitored by detecting precipitation events and monitoring the levels.
The solution.
In this demonstrator, various rain events are to be simulated on the model and shown how flooding can be detected early in combination with various modular measuring sensors (multi-sensor technology), how to deal with the data (data analysis) and what measures can be taken, to prevent damage (damage prevention). In addition, the demonstrator creates the opportunity to see and test the haptic integration into such a system “live” on site (hardware integration) and to compare it in the context of different installation situations.
For this purpose, the path of the water from the precipitation event via the gutter into the cistern to the lake/river is simulated. In order to represent reality as an example, a waste water sewer and corresponding retention infrastructure will be installed. Interdependencies are to be shown, such as how early strategic and reactive management can relieve the rainwater sewer, but also how blockages of inlets or sewers can be detected at an early stage. The sensor data is visualized in real time via a dashboard and the future ubiquitous IoT sensor technology of the smart city should be made tangible here in the use case of water via a haptic representation of the digital twin. The structure of the demonstrator should be kept mobile and modular so that it can be expanded at any time according to the application and the required sensors.
Contact
Our Innovation Manager
Lukas Grünbeck
l.gruenbeck@eastsidefab.de
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