摘要
变形数据分析与预报是变形监测数据处理的重要内容,数据分析与预报结果是进行决策的最主要依据,它们的质量直接影响整个变形监测工作的成效,因此选用切实有效的方法进行变形数据分析和预报十分重要。本文主要论述了采用时间序列模型处理变形数据的原理和方法,并利用信息分析和处理的结果对未来短期内的变形趋势进行预测。
The analysis and prediction of the deformation data is important in monitoring, and their result is the main basis to make decisions. Because of their influences on the monitoring, it is very important to adopt an ef-fective method to analyze and predict the shape data. This paper discusses the principle and the method which adopt the time sequence model to deal with the shape data, and uses the results of information analysis and pro-cessing to predict the deformation trend.
出处
《科技广场》
2014年第6期6-9,共4页
Science Mosaic
关键词
时间序列分析
变形监测
AR模型
Time Series Analysis
Deformation Monitoring
AR Model
Matlab