Together with Xylem and Ídrica, we have developed a data infrastructure that will enable the Principality of Asturias to manage water resources in an integrated way with real-time monitoring and use cases powered by AI technologies. The project leverages our AI Services, Data Governance Assessment, and Architecture service from the Data Services portfolio.

The platform will integrate data from multiple sources: local administration, meteorological data from AEMET, the Cantabrian Hydrographic Confederation, and sensors installed in the water supply and sanitation infrastructures of the Regional Government, among others.

This initiative will support decision-making based on predictions of water quality and availability, as well as emergency response management. In addition, the data lake will provide comprehensive insight into the entire water cycle, strengthening the region’s resilience and long-term resource planning fully aligned with the Recovery, Transformation and Resilience Plan.

Use Cases Highlights

Preliminary analysis of variables

Ingest, homogenization, and analysis of data from multiple sources to facilitate a centralized and accurate view of the water resource. Thanks to data governance, secure storage, and advanced analytics are enabled to provide key insights to optimize water management and use.

Resource optimization and prediction with AI

Prediction of the evolution of surface and groundwater bodies by means of AI models, with which the evolution of water resources is projected in the medium term (3-6 months), making it possible to plan investments and take preventive measures to mitigate the impact of droughts or floods.

Improved water quality

The system allows monitoring of ecological flows, continuous analysis and characterization of the quality of water bodies, to detect impacts and warn of potential problems, improving the effectiveness of measures implemented in water plans.

Real-time water management functionalities

Real-time monitoring and control of key hydrometeorological variables such as flow rates, rainfall, and reservoir status, among others, facilitating immediate decision making to optimize resources and prevent possible incidents.

Management of extreme events

The integration of hydrometeorological data makes it possible to predict and manage extreme events, issuing early warnings and facilitating the coordination of actions to minimize risks and damages in the territory.