摘要
为研究海量桥梁监测数据的自动化批量预处理方法,文中针对明州大桥健康监测数据,基于Matlab开发了桥梁监测数据预处理程序。研究表明通过可信度评估、异常数据剔除、遗漏数据插补及平滑滤波模块对原始监测数据进行了有效预处理,且程序具有较好的交互性和自动化性能,能完成海量监测数据的批量化处理工作。
In order to study the automatic batch preprocessing method of massive bridge monitoring data,this paper develops a bridge monitoring data preprocessing program based on Matlab for the health monitoring data of Mingzhou Bridge.Research shows that the original monitoring data is effectively preprocessed through credibility evaluation,abnormal data removal,missing data interpolation and smoothing filtering modules,and the program has good interactivity and automation performance,which can complete the batching of massive monitoring data processing work.
作者
唐良
边祖光
赵银飞
金婉
TANG Liang;BIAN Zuguang;ZHAO Yinfei;JIN Wan(Polytechnic Institute,Zhejiang University,Hangzhou 310015,China;School of Civil Engineering and Architecture,Zhejiang University of Science and Technology,Hangzhou 310023,China;Zhejiang Kejia Engineering Technology Research Co.,Ltd.,Zhejiang Ningbo 315000,China;College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,China)
出处
《低温建筑技术》
2021年第7期104-108,共5页
Low Temperature Architecture Technology
基金
国家自然科学基金(11572286)。
关键词
桥梁工程
监测数据
预处理
bridge engineering
monitoring data
preprocessing
