摘要
阐述了奇异谱分析理论,以某市地铁保护区监测数据为例,研究将奇异谱分析应用于地铁隧道沉降监测数据的处理,并与小波分析结果对比分析。对比分析表明,奇异谱分析方法能够有效获取沉降变形趋势及变形周期,可为解读地铁监测数据和制定地铁监测计划提供参考。
In the paper,the singular spectrum analysis theory is described,which is applied to the data processing for metro tunnel subsidence monitoring collected from a metro protection area.The data is then compared with the result of wavelet analysis,and the result indicates that the singular spectrum analysis can effectively obtain the subsidence deformation trend and the deformation period,thus providing a reference for the analysis of monitoring data and the planning of metro monitoring.
作者
王涛
田林亚
王文峰
毕继鑫
黄岩松
WANG Tao;TIAN Linyan;WANG Wenfeng;BI Jixin;HUANG Yansong(School of Earth Science and Engineering,Hohai University,211100,Nanjing,China)
出处
《城市轨道交通研究》
北大核心
2018年第11期95-98,142,共5页
Urban Mass Transit
关键词
地铁
沉降监测
数据处理
奇异谱分析
metro
subsidence monitoring
data processing
singular spectrum analysis
