华北水利水电大学学报（自然科学版）2024，Vol.45Issue(3)：18-25,8.DOI:10.19760/j.ncwu.zk.2024025
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
Research on Scheduling Parameter Prediction Method of Long-distance Water Transfer Project Based on Intelligent Hydraulics
摘要
Abstract
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.关键词
智慧水力学/长距离调水工程/调度参数预测/人工智能/WOA-LSTM模型Key words
intelligent hydraulics/long distance water transfer project/scheduling parameter prediction/artificial intelli-gence/WOA-LSTM model分类
建筑与水利引用本文复制引用
刘宪亮,许新勇,陈晓楠,罗全胜..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[J].华北水利水电大学学报（自然科学版）,2024,45(3):18-25,8.基金项目
国家自然科学基金项目(51979109) （51979109）
水利青年科技英才资助项目(2021-12-01). （2021-12-01）
