摘要
城市地铁建设中,必须对施工过程进行数据监测,分析监测数据的发展趋势,判断地铁建设的安全稳定性。文章结合了稳健估计和总体最小二乘拟合的思想,提出了一种稳健的总体最小二乘多项式曲线拟合模型,利用该模型对福州市地铁某在建工点的沉降监测数据进行模型构建。实验结果表明,本文的方法比最小二乘拟合法的拟合效果更佳,对数据的预测精度能达到1mm以内,证明了该方法在地铁监测中的可行性。
In the construction of urban subway,it is necessary to monitor the construction process data,analyze the development trend of monitoring data,and judge the safety and stability of metro construction.Combining the idea of robust estimation and total least squares fitting,this paper presents a robust total least squares polynomial curve fitting model,which is used to model the settlement monitoring data of Fuzhou Metro.The experimental results show that this method is better than the least squares fitting effect,and the prediction accuracy of the data can reach less than 1mm,which proves the feasibility of this method in metro monitoring.
作者
陈开端
CHEN Kaiduan(Fuzhou metro group Co.,Ltd,Fuzhou 350001)
出处
《福建建筑》
2019年第1期71-76,共6页
Fujian Architecture & Construction
