Toolbox and mEthodology for waTeR based Ai projects – TETRA
Water is an existential resource with immense value for mankind and the environment and is a driver for the economy and prosperity. To ensure sustainable availability, modern tools for efficient and reliable water monitoring are needed. This is reflected in massive fish die-off the Oder. In order to provide better protection for rivers, the TETRA consortium proposes a project blueprint that will simplify and accelerate the use of artificial intelligence (AI) in the field of water management. The tools provided will save cost and time to AI projects. Authorities, small and medium-sized enterprises (SMEs) are supported in this way to keep rivers resilient and healthy. As part of TETRA, an AI toolbox is being developed specifically for the requirements in the water sector in order to implement common use cases. A suitable methodology supports and accompanies their implementation. The developed tools are evaluated at hand of two use cases on the German-French river Rhine (river monitoring and renaturation measures). Flow monitoring is performed using video streamed data and sensor data. In addition, it is examined how AI algorithms can run on these devices (Edge-AI). In the area of renaturation measures, AI is used for sustainability. The methodology accompanying the implementation will be based on the existing PAISE® process model that was developed for industry. Where necessary, PAISE® will be adjusted to harmonize with the developed toolbox and allow a blueprint for follow-up projects. Both the method and the tools developed will be freely available in a shared ecosystem. The results can be applied by German and French authorities and SMEs, opening up opportunities for cooperation in the field of AI.
Madame Gaelle Lortal (Thales Research and Technology)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
ICube Laboratoire des sciences de l'Ingénieur, de l'Informatique et de l'Imagerie (UMR 7357)
SEBA SEBA Hydrometrie GmbH & Co. KG
IOSB Fraunhofer IOSB
TRT Thales Research and Technology
Help of the ANR 798,266 euros
Beginning and duration of the scientific project: May 2023 - 36 Months