Ocean vessel satellite network flow prediction method, model and gateway

The invention discloses an ocean vessel satellite communication network flow prediction method, which comprises the following steps: acquiring a network flow data sample generated by an ocean vessel based on satellite communication, and generating a first time sequence data set from the network flow data sample according to a flow time sequence; preprocessing the first time sequence data set to obtain a second time sequence data set; adopting TCN to extract short-term local features of the second time sequence data set; establishing a prediction model by adopting LSTM; and obtaining a predicted value of the ship network flow through the prediction model. According to the method, high and low frequency information is extracted through short-term local dependence in the TCN learning time sequence, long-time dependence in the time sequence is effectively captured through the LSTM, and the method for predicting the ocean vessel network flow is high in accuracy and good in robustness. 本发明公开了一种远洋船舶卫星通信网络流量预测方法，包含步骤