Business traffic anomaly detection model establishment method and anomaly detection method

The invention provides a business flow anomaly detection model establishment method and an anomaly detection method. The method comprises the following steps: acquiring historical power grid flow data with classification marks; performing coding processing on the historical power grid flow data to obtain a first feature vector set; inputting the first feature vector set into a multi-layer coding block of an initial anomaly detection model for processing to obtain a second feature vector set, and then inputting the second feature vector set into a multi-layer perceptron of the initial anomaly detection model to obtain a prediction result; according to the prediction result and the classification mark of the historical power grid flow data, the initial anomaly detection model is trained to obtain a trained anomaly detection model, the key information of the power grid flow data is extracted, and meanwhile, the mutual dependency relationship between the information is established, so that the reliability and acc