Abstract: Considering that the dispatching operation of tidal sluice is greatly affected by the tide, it is difficult to control the flow through the sluice. Based on the mechanism model of the sluice, this paper analyzes the influence of water level（tidal level） on the discharge through the sluice, and then designs a mathematical model for tidal level prediction based on GRU neural network. Combined with the actual demand of Jiangdu East Sluice, the optimal dispatching system of the sluice station is developed. Compared with the measured data, the multi-layer GRU neural network model proposed in this paper can accurately predict the time when high and low tide levels occur. After the software system is deployed, it can well support the operation dispatching project of Jiangdu East Sluice, and has high promotion and application value in similar projects.