Stress monitoring in the ARMA model of Changchun subway construction applications

This paper presents the application of the ARMA time-series analysis model for the analysis and forecast of stress data in Changchun subway construction. The results show that the model has an ideal accuracy in the forecast after the smooth process of the data. As the step size increases, the accuracy drops. Thus, the results indicate that the time-series analysis model is effective in the short-term forecast.