SIMBAR

SIMBAR is an innovation initiative aimed at developing an advanced platform for hydrological monitoring, visualisation and forecasting in areas at high risk of flooding (ravines, riverbeds, urban catchments). The project has been launched in response to recent extreme weather events (e.g. the DANA in October 2024) and seeks to improve resilience to flooding through emerging technologies.

The project is led by the Lãberit company (specialized in IoT) and involves IRTIC as a technology partner. This public-private partnership brings together complementary industrial and scientific capabilities in distributed sensor networks, real-time data processing, immersive 3D visualisation and predictive simulation based on artificial intelligence. In this context, IRTIC will contribute its extensive expertise in 3D graphics, augmented/virtual reality (AR/VR) and decision-support systems, thereby contributing to the technical success of the project.

The overall objective of SIMBAR is to design, deploy and validate a comprehensive system capable of monitoring and predicting hydrological behaviour in critical areas through the following key components:

•IoT network of environmental sensors: autonomous stations that collect real-time data (water level, flow rate, rainfall, soil moisture, etc.) and can activate remote devices to control infrastructure.

•Immersive visualisation platform (AR/VR): an interactive 3D environment accessible from control centres or mobile devices, which provides a three-dimensional representation of the current and projected status of the monitored areas.

•AI-powered predictive simulation module: an artificial intelligence system trained using historical and geospatial data, capable of predicting flash floods and issuing early warnings to the authorities and emergency services.

IoT, Ravine Monitoring, AI, Virtual Reality, VR

GVA – IVACE+i (AVI)

Laberit Sistemas S.L.