在使用统计回归模型来建立安全监控模型时，选用有限的因子进行拟合，往往会出现由于因子选择不确切或者不全面导致模型出现欠拟合问题，影响其拟合和预报精度，因此有必要对模型进行补充和完善。结合渗压监测的原型观测资料，用因子扩充和组合进行建模，计算结果表明这样建立的模型回归精度更高。

Only finite factors are selected when using a statistic regress model establishes a safety monitoring model. Sometimes this will lead to ambiguous or missing phenomenon of factors and the defect of statistical regression model in precision. Therefore, it is necessary to reinforce and consummate the regression model. This text takes the statistical regression model after factor expansion as reference to establish the safety monitoring model with the observed data in prototype. The results indicate this method will result in higher regression precision.