Method and device for wind turbine blade predictive de-icing, electronic device and storage medium
By implementing fusion decision-making and feedback optimization of icing prediction data and monitoring data on wind turbine blades, air-thermal de-icing control commands are generated, solving the problem of independent icing prediction and monitoring, achieving efficient and accurate de-icing control, reducing energy consumption and improving system intelligence.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUNAN WULING POWER TECH CO LTD
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the wind turbine blade icing prediction model and the real-time monitoring system are independent, lacking data fusion and two-way feedback mechanisms. This results in a lack of measured correction for the prediction results, lagging de-icing control, delayed response, and a surge in energy consumption. Furthermore, uneven ice distribution causes vibration, affecting power generation efficiency and equipment lifespan.
By using icing prediction data as feedforward input and icing monitoring data as feedback input, a fusion decision is made in the intelligent control unit to generate gas-thermal de-icing control commands, which drive the gas-thermal de-icing actuator to perform zoned heating and de-icing. The de-icing effect data and icing monitoring data are fed back to the icing prediction model for iterative optimization, forming a closed data link loop.
It achieves a collaborative closed loop of icing prediction, monitoring, and de-icing control, which improves the accuracy and timeliness of de-icing control, reduces de-icing energy consumption, and enhances the system's intelligence level.
Smart Images
Figure CN122407485A_ABST