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TRL Level
SRL Level
The LIS-platform, a BIM-based software platform, is being developed to monitor various aspects of buildings. This platform provides a comprehensive overview of structu...
Our Digital Twin software uses in situ observations, satellite data, and weather forecasts to provide accurate water forecasts and extreme event alerts, improving efficiency and sustainability by extending control to the whole environment.
- Drought: the Digital Twin is fed by seasonal forecasts (+ 6 months) to provide alerts for water scarcity. Seasonal forecasts are downloaded by the Copernicus Data Store and properly downscaled to local historical meteo data to correct the bias and eventually given in input to the Digital Twin previously calibrated to provide water forecasts on local points of interest, like wells, springs or river outlets.
- Flood: the Digital Twin is fed by high-resolution weather forecasts (+ 3 days) to provide alerts for flood conditions. The weather forecast are translated into water forecasts on a point of interest (e.g. river outlet) and then given in input to a hydraulic model to simulate the water propagation in the river bed and calculate possible inundation.
See more information about this level and the TRL and SRL levels.
The market assessment of this innovation has been self-declared by the provider and has not been independently verified. For more details, please contact the innovator directly.
We have selected only challenges focused on flood modeling and/or water resources management at catchment scale where our solution could bring a Decision Support Tool to predict water inflow and manage extreme events through alerts (drought or flood).
It was developed independently through various R&D projects and startup grants
The solution may be limited by the absence of in situ water observations. We can cope with this obstacle by installing a water sensor on a suitable river outlet.
Our Digital Twin software uses in situ observations, satellite data, and weather forecasts to provide accurate water forecasts and extreme event alerts, improving efficiency and sustainability by extending control to the whole environment.
- Drought: the Digital Twin is fed by seasonal forecasts (+ 6 months) to provide alerts for water scarcity. Seasonal forecasts are downloaded by the Copernicus Data Store and properly downscaled to local historical meteo data to correct the bias and eventually given in input to the Digital Twin previously calibrated to provide water forecasts on local points of interest, like wells, springs or river outlets.
- Flood: the Digital Twin is fed by high-resolution weather forecasts (+ 3 days) to provide alerts for flood conditions. The weather forecast are translated into water forecasts on a point of interest (e.g. river outlet) and then given in input to a hydraulic model to simulate the water propagation in the river bed and calculate possible inundation.
The business plan for this innovation has been evaluated by The Funding Company and it is considered to be ready for investment.
The main components of the system have been tested separately, and an initial integration exercise has been conducted.
We have selected only challenges focused on flood modeling and/or water resources management at catchment scale where our solution could bring a Decision Support Tool to predict water inflow and manage extreme events through alerts (drought or flood).
It was developed independently through various R&D projects and startup grants
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