Hybrid AI Models for Adaptive Water Infrastructure: GNN and PINN Integration with SCADA Signals

Tue, 10 Dec 2024 00:00:00 +0000

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These slides provide an overview of the SCADA-integrated PINN-GNN architecture for water supply optimization.

The proposed approach demonstrates how hybrid neural architectures can be applied to real-world water infrastructure challenges. By combining graph topologies with physical modeling constraints and real-time sensor feedback, the framework bridges data-driven and physics-based modeling.

It supports operational decisions such as:

Dynamic leak localization
Adaptive pressure control
Placement of smart valves and sensors
Predictive failure analysis

Future work includes deployment of the system in collaboration with water utilities across Europe within the Horizon Europe framework.

Horizon Europe | Hugo Academic CV Theme

Hybrid AI Models for Adaptive Water Infrastructure: GNN and PINN Integration with SCADA Signals