A method and system for predicting and warning the safety of a fan structure under extreme weather

Abstract

The application discloses a kind of methods and systems of fan structure safety prediction early warning under extreme weather, the method includes: picture, text and other information are converted into ternary database as fan structure safety prediction early warning knowledge experience base;Real-time acquisition time series data is used to obtain monitoring source;The machine learning algorithm of multi-source data driving is used to establish fan structure health early warning model, and the structure risk brought by extreme wind speed, temperature sudden change, freezing frost and extreme rainfall is dynamically predicted;When the prediction result is greater than predetermined safety threshold, then the system will automatically trigger hierarchical early warning and take corresponding solution measures;As described above, the system of the embodiment includes data acquisition module, model analysis module, early warning control module and the like, which can realize intelligent prediction and early warning of wind turbine fan structure safety, improve the operation safety and reliability of wind turbine under extreme weather conditions.

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