Wind turbine generator blade icing diagnosis and prediction system based on holographic state detection

The invention discloses a holographic data driving-based wind turbine generator blade icing diagnosis and prediction system with an autonomous learning capability. The holographic wind turbine blade icing diagnosis and prediction model is established by fully utilizing the environmental information of the wind turbine, the working condition information of the wind turbine, the structural state information of the wind turbine and the geographic information system (GIS) positioning information of the wind turbine, and the diagnosis model is continuously optimized and updated through self-learning in combination with the field diagnosis information, so that the blade icing diagnosis and prediction accuracy of the wind turbine blade is improved. And the accuracy of the blade icing diagnosis and prediction system is improved. According to the method, the blade icing condition is timely and accurately detected, corresponding measures are taken, the maintenance cost is effectively reduced, and the electric energy qu