摘要
本文分析了传统监测预警模式的特点,为优化深基坑工程传统监测预警模式提出基于时间序列ARMA模型对地铁深基坑变形进行多重防线监测预警。在大量监测数据的基础上,利用时间序列ARMA模型对基坑沉降变形进行预测,对比分析预测值与实际值。根据武汉唐家墩地铁站基坑水事故特征,研究ARMA模式数据的变化,预警深基坑工程施工风险,并进行综合风险分析,以达到全面预防涌水事故的目的。
This paper analyzes the features of the traditional monitoring and early warning model and in order to optimize the traditional deep foundation pit engineering monitoring and early warning model,and it is proposed the multiple line subway deep foundation pit deformation monitoring and early warning based on time series ARMA model.Based on large amount of monitoring data,the time series ARMA model is used to predict the settlement deformation of the foundation pit,and the predicted value is compared with the actual one.According to the accident characteristics of the foundation pit of Wuhan Tangjiadun Subway Station,the process of forecasting and predicting the risk of deep foundation pit flooding is studied.The comprehensive model analysis is carried out according to the data of different monitoring points,to reach the purpose of water gushing prevention.
作者
王凯
胡怡婧
徐青
WANG Kai;HU Yijing;XU Qing(Sinohydro Bureau 7 Co.,Ltd.,Chengdu 610081)
出处
《工业安全与环保》
2018年第7期29-32,共4页
Industrial Safety and Environmental Protection
关键词
深基坑
监测预警
时间序列
ARMA模型
deep foundation pit
monitoring and warning
time series
ARMA model
