The invention relates to the technical field of wind electricity power prediction, and particularly relates to a climbing event prevention method based on a middle-scale wind electricity power development process. The method comprises steps of finishing serialization operation of a history wind electricity power development process, and selecting a prediction time window to serve as a division unit of the serialization operation through modeling; carrying out category analysis on the history wind electricity process sequence and establishing an optimal prediction model library for a wind electricity process of each specification; taking the history wind electricity process sequence as an object, training switching rules of wind electricity processes of different specifications through counting and probability analysis, and using an obtained switching mechanism to guide model selection of wind electricity power prediction on future wind electricity processes; and improving a climbing event definition and detection algorithm, and detecting and predicting the climbing event which is possible to occur in the future according to the predicted long-term wind electricity power. Accordingto the invention, long-term wind electricity power prediction precision required by climbing prediction can be improved; high-performance climbing prediction is finished; and the foundation is laid for related analysis of the climbing events.