Abstract:In view of the unsatisfactory fitting and prediction accuracy of deformation monitoring data series, we propose a fractional order EGM (1,1) model, optimized by particle swarm optimization, to fit and predict deformation monitoring data. We use particle swarm optimization (PSO) to select the fractional order, which fits the minimum average relative error of EGM (1,1), and the optimal fractional order EGM (1,1) model is constructed. We use typical deformation monitoring data to validate the optimization model. The results show that the optimization model achieves high accuracy in fitting and predicting deformation monitoring data. It shows that the optimization model is feasible and effective in processing deformation monitoring data.