基于时间序列分析的地表沉降数据分析处理

Analysis and processing of settlement data based on time series analysis

基于平稳时间序列的特性,研究了应用ARMA(m,n)模型对矿区地表沉降数据进行分析处理和预报的方法步骤,并用一组实测沉降数据实例说明.结果表明,应用ARMA(m,n)模型分析处理地表沉降数据十分有效、可靠.

Based on ARMA（m,n） model, this tlement data analysis and forecast, and present paper analyzes the method and process of sets a practical example to illuminate this method and process. The result shows that ARMA（m,n） model can be used to analyze and process settlement data and its validity and reliability are very high.