水利水电科技进展2025，Vol.45Issue(6)：77-84,8.DOI:10.3880/j.issn.1006-7647.2025.06.011
混凝土大坝变形监测异常值识别方法及应用
Method for identification of outliers in concrete dam deformation monitoring and its application
摘要
Abstract
To address the issues of low accuracy,poor reliability,and difficulties in programmatic implementation associated with traditional methods for identifying outliers in dam deformation,using the Jinping Ⅰ Dam as a case study,a nonlinear statistical model for dam deformation was developed based on trend surface analysis.Using the generated three-dimensional trend surface as a benchmark,an outlier identification envelope was constructed by setting allowable errors,and a program implementation pathway was designed at the computer system level.In response to the causes and data characteristics of outliers,a comprehensive solution for determining the nature of outliers was proposed,integrating remote system recall testing,self-diagnosis of data acquisition equipment status,and Euclidean distance criteria between initial and repeated measurements.The results demonstrate that the proposed method achieves highly accurate dynamic identification of deformation outliers without requiring dynamic computation.The generated three-dimensional trend surface possesses clear physical and mechanical significance,enabling precise evaluation of dam deformation behavior under varying reservoir water levels and ambient temperatures.关键词
大坝安全/在线监控/变形监测/异常值识别/锦屏一级大坝Key words
dam safety/online monitoring/deformation monitoring/outlier identification/Jinping Ⅰ Dam分类
建筑与水利引用本文复制引用
刘健,王继敏,杨强,张晨,崔岗..混凝土大坝变形监测异常值识别方法及应用[J].水利水电科技进展,2025,45(6):77-84,8.基金项目
国家自然科学基金重点项目(51739006) （51739006）
