Intelligent situation awareness system for wind power generation

The invention relates to a wind power generation intelligent situation awareness system, which comprises the following contents: a hierarchical situation awareness neural network architecture with a data channel expansion capability is adopted, and the hierarchical situation awareness neural network architecture comprises an expert network layer, a feature fusion layer and an inference network layer; in the expert network layer, an expert network is independently set corresponding to the input of each sensor, the input is data collected by various sensors, and the output is multi-modal features corresponding to different sensors; the input of the feature fusion layer is the output of the expert network layer, and the output of the feature fusion layer is a situation feature sequence; the feature fusion layer performs four newly defined norm operations on the output of each expert network in the expert network layer, and splices the norm operations into a sequence; deducing a feature sequence output by the net