Icing Prediction Model for Wind Turbines
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Solution Overview
Problem
Accurate prediction of icing conditions on wind turbines is challenging due to variations in geographical locations, leading to potential economic losses from passive icing treatments.
Innovation Solution
A method that extracts precise meteorological prediction data features based on geographic information, combined with historical icing flag information, to generate an icing prediction model using supervised learning techniques, enabling precise icing prediction and timely operation and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional icing prediction models are used, then general icing predictions can be made, but prediction precision varies at different geographical locations
Solution Approach 1:
The patent applies local quality by extracting geographic information (latitude, longitude, altitude) specific to each wind turbine location and using it to select and adjust meteorological prediction data features. This allows the icing prediction model to be adapted to local geographical characteristics, improving prediction precision for each specific location while maintaining the ability to handle multiple geographical scenarios.
2Reliability
If passive icing treatment is performed, then icing damage can be addressed, but economic losses occur due to delayed response
Solution Approach 1:
The patent implements preliminary action by using the icing prediction model to forecast icing conditions before they occur. The model processes meteorological prediction data and geographic information to generate advance warnings, allowing operators to take preventive measures such as activating heating elements or adjusting turbine operations before icing actually forms, thus preventing damage and avoiding economic losses.
3Loss of information
If comprehensive meteorological data is collected for accurate prediction, then data completeness improves, but data processing complexity increases
Solution Approach 1:
The patent applies the extraction principle by selectively identifying and extracting relevant meteorological prediction data features (such as temperature, humidity, wind speed) based on the wind turbine's geographic information and icing conditions. Instead of processing all available meteorological data, the system extracts only the most relevant features for icing prediction, reducing data processing complexity while maintaining prediction accuracy.
Data Source
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AI summary
Provided are a method and an apparatus for icing prediction, and a method and an apparatus for generating an icing prediction model. The method for icing prediction includes: extracting a valid meteorological prediction data feature of a target wind turbine based on geographic information of the target wind turbine; inputting the valid meteorological prediction data feature into an icing prediction model for predict icing information; and outputting an icing prediction result by the icing prediction model in response to the input.