基于PSO-SVM模型的节制闸过闸流量计算方法研究  

Research on Calculation Method of Check-sluice Discharge Based on PSO-SVM Model

作　　者：蒋莉 梁金昶 刘宪亮 许新勇 JIANG Li;LIANG Jinchang;LIU Xianliang;XU Xinyong(North China University of Water Resources and Electric Power,Zhengzhou 450046,Henan,China;China South-to-North Water Diversion Middle Route Corporation Limited,Beijing 100038,China)

机构地区：[1]华北水利水电大学水利学院,河南郑州450046 [2]中国南水北调集团中线有限公司,北京100038

出　　处：《黄河水利职业技术学院学报》2023年第1期6-10,共5页Journal of Yellow River Conservancy Technical Institute

基　　金：国家自然科学基金项目:基于界面数据交换的混凝土塔筒振动损伤机理研究及模型试验(51979109)。

摘　　要：为了进一步提高节制闸过闸流量的计算精度,提出了一种基于PSO-SVM模型的过闸流量计算方法。分析了PSO-SVM模型的计算原理和方法,并用某节制闸一年的水文实测数据对PSO-SVM模型进行了训练与计算,结果表明:PSO-SVM模型用于节制闸过闸流量计算,具有较高的计算精度。但在实测样本较少时或流量较大的区间内,模型表现欠佳。In order to improve the calculation accuracy of check-sluice discharge,a calculation method of discharge based on PSO-SVM model is proposed.The calculation principle and method of PSO-SVM model are analyzed.The hydrologic data of a check-sluice for one year are used to train and calculate the PSO-SVM model.The results showed that the PSO-SVM model could be used to calculate the check-sluice discharge and had high calculation accuracy.However,when the measured samples are not enough and the discharge is large,the performance of the model is poor.

关 键 词：引调水工程 节制闸 过闸流量 PSO-SVM模型 支持向量机 粒子群优化算法 

分 类 号：TV66[水利工程—水利水电工程]