基于智慧水力学的长距离调水工程调度参数预测方法研究OACSTPCD

In order to improve the calculation accuracy of the scheduling parameters of long-distance water transfer projects,the concept of intelligent hydraulics is proposed.Based on the operation monitoring data of the middle route of South-to-North Water Transfer project,artificial intelligence method is used to study the scheduling parameter prediction method of long-distance water transfer project.On the basis of data cleaning,a prediction model for the scheduling parameters of the control sluices of Baihe River,Twelve Mile River,and Dongzhao River was established based on the long and short-term memory neural network(LSTM)model.The Whale Optimization Algorithm(WOA)is used to optimize the hyper-parame-ters of the model and to predict the scheduling parameters.The results are as follows.The maximum mean absolute errors of the predicted pre-gate water levels and flows of the three control gates with their actual measured values were 0.655 cm and 1.326 m3/s,respectively.This demonstrates the applicability and accuracy of intelligent hydraulics concepts and artifi-cial intelligence methods in the prediction of scheduling parameters for long-distance water transfer projects.The research content can provide a theoretical basis for realizing the prediction of engineering scheduling parameters and accurate intelli-gent scheduling.