A new approach to predictive and autonomous maintenance in wind energy
The HAIZEBOT project aims to revolutionize wind farm maintenance by integrating advanced technologies such as artificial intelligence, robotics, and digitalization. In the current energy landscape, maintenance operations often rely on manual inspections that are costly, time-consuming, and involve significant safety risks. HAIZEBOT addresses these challenges by introducing a more efficient and intelligent approach.
The project develops an automated maintenance model powered by climbing robots, drones, IoT sensors, and advanced analytics. These technologies enable real-time monitoring of wind turbine structures and components, allowing early detection of potential failures and reducing unplanned downtime.
A key innovation of HAIZEBOT is the integration of all operational data into a digital twin of the wind farm. This virtual representation allows centralized and remote decision-making, improving operational visibility and enabling a more proactive and predictive maintenance strategy.
By enhancing efficiency, reducing costs, and extending the lifespan of wind assets, HAIZEBOT contributes to a more sustainable and reliable energy sector. The project is co-funded by the ERDF (FEDER) under the HAZITEK 2025 programme and is developed by a consortium led by SAITEC, with the participation of RDT Ingenieros, GLOBAL, IDK Elektronika, and TECNALIA.
