人民珠江2024，Vol.45Issue(12)：122-127,6.DOI:10.3969/j.issn.1001-9235.2024.12.013
基于GRU的混凝土坝变形监测数据缺失处理方法
Processing Method of Missing Monitoring Data of Concrete Dam Deformation Based on GRU
摘要
Abstract
In view of the missing monitoring data due to instrument problems or human factors in the process of concrete dam deformation monitoring,this paper explores and proposes a processing method for the missing of concrete dam deformation data based on gated recurrent unit neural network(GRU).This processing method has the advantages of easy training and not easy to appear over fitting.It can eliminate the interference caused by the existence of missing data to the analysis of dam deformation behavior,and then improve the accuracy of objective evaluation or early warning of dam deformation behavior.Through an engineering example,the processing method of missing value of deformation data of concrete dam proposed in this paper is verified.The results show that the prediction residual value of this method is small,which is lower than the error limit specified in the specification.It can effectively process the missing data of deformation monitoring,and provide objective monitoring data for the subsequent analysis of dam deformation behavior.关键词
混凝土坝/变形监测/数据缺失/门控循环单元神经网络Key words
concrete dam/deformation monitoring/missing data/neural network of gated cycle unit分类
建筑与水利引用本文复制引用
翟俊杰,石中文,李军,潘文明,贾海磊,叶胜..基于GRU的混凝土坝变形监测数据缺失处理方法[J].人民珠江,2024,45(12):122-127,6.基金项目
中央级公益性科研院所基本科研业务费专项资金(Y423002) （Y423002）
南京水利科学研究院研究生学位论文发展基金(Yy424009) （Yy424009）
