To further improve the stability and accuracy of real-time flow prediction at hydrological stations, a new method for online river flow prediction based on artificial intelligence algorithms is proposed based on the analysis of station characteristics. The practical application of Hankou Hydrological Station has shown that both modeling accuracy and generalization accuracy have reached the level of a first-class accuracy station, and have high stability. The research results have high promotional value and can provide scientific reference for the intelligent upgrading of hydrological station services.