数据回归分析在桥梁结构健康监测系统中是参数预测和预警的前提,文章采用了基于最小二乘原理的多种函数拟合与时间序列分析的ARMA模型,对桥梁结构健康监测数据进行回归分析。计算结果表明,多项式拟和与ARMA模型具有较好的预测精度。 Data regression analysis is the precondition of parameter prediction and early warning in bridge structural health monitoring system. ARMA model based on least square principle and multiple function fitting and time series analysis is used to conduct regression analysis of bridge structural health monitoring data. The results show that polynomial fitting and ARMA model have good prediction accuracy.