In collaboration with the Rhaetian Railway (RhB) and the Office for Forests and Natural Hazards of the Canton of Graubünden, GMD® GmbH is developing an innovative AI-powered early warning and monitoring system for the Carrerabach catchment. The pilot project aims to predict natural hazards such as flash floods, debris flows, and channel blockages not just minutes before an event, but hours to days in advance.
The solution combines autonomous radar water level sensors, weather stations, webcams, and an intelligent Mesh IoT communication network with the GeoSenseAI® WEBGIS4D platform. By integrating real-time sensor data, high-resolution weather forecasts, hydrological models, and artificial intelligence, the system creates a digital twin of the catchment area that continuously assesses risks and generates automated early warnings.
The project strengthens the resilience of railway infrastructure, enables proactive operational planning, and helps reduce service disruptions and damage to critical infrastructure. At the same time, the pilot serves as a scalable reference solution for protecting additional railway corridors and alpine catchments across Europe.
GMD® is a company specializing in the prevention of natural hazards. By combining autonomous, AI-powered Mesh IoT sensor and wireless communication networks with a machine learning-driven WEBGIS4D risk analysis platform, GMD® helps make natural hazards more predictable.
In addition, the company develops tailored climate adaptation models for municipalities, ski resorts, and critical infrastructure operators, enabling them to strengthen resilience and make informed, data-driven decisions.
