Pump station afterbay water level prediction method and system based on multi-dimensional sequence data correlation analysis

The invention provides a pump station afterbay water level prediction method and system based on multi-dimensional sequence data correlation analysis. The method comprises the following steps: carrying out data preprocessing on pump station monitoring data to obtain a trend sequence, a periodic sequence and a residual sequence; the encoder is composed of a multi-layer composite convolutional layer, performs feature extraction on the trend sequence, introduces a parallel neural network of a weighting mechanism, learns the relationship between different positions in feature information and performs weighting processing on the feature information, and the decoder is composed of a recurrent neural network layer with a gating mechanism, decodes the weighted information and performs decoding on the decoded weighted information. Performing prediction; and predicting the periodic sequence based on the multilayer perceptron, and adding the predicted value of the trend sequence and the predicted value of the periodic s