时间序列在地铁隧道变形监测数据处理中的应用  

Time Series Prediction Method Used in Subway Deformation Monitoring Data Processing

作　　者：谢文国 高俊强[1] 徐东风[1] 

机构地区：[1]南京工业大学测绘学院,江苏南京210000

出　　处：《交通科技与经济》2015年第4期114-116,共3页Technology & Economy in Areas of Communications

摘　　要：地铁隧道变形监测是数据处理中的一项重要内容,其中变形数据的分析与预报尤为重要,可靠的预报能够为决策提供重要依据。从时间序列的基本原理出发,阐述如何运用时间序列法依据数据来实现建模与预测。通过南京市某地铁实例来验证时间序列预测方法的可靠性和有效性,较好地模拟并预测地铁变形监测点的沉降变化规律。Deformation Monitoring Data Analysis and Prediction is an important part of deformation monitoring data processing,reliable prediction is the important basis of decision making. According to the characteristics of time series, explains how to establish the model and make predicitions according to the data with the method of time series modeling. Through the subway to illustrate the reliability and validity of time series prediction method, better simulate and predict the change rule of settlement deformation monitoring.

关 键 词：地铁隧道 变形监测 时间序列 数据预测 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]