In response to the complex geological conditions and special working situations encountered in railway construction in China,constructors have introduced various innovative techniques and methods.A subsequent challenge lies in determining supplementary quotas for these novel processes to refine the cost estimation system for railway engineering.The issue at hand for railway cost estimators is enhancing the accuracy of quota data and the robustness of quota measurement.This paper employed error theory and mathematical analysis methodologies to establish models for handling systematic errors,gross errors,and random errors.By applying these models to compute,analyze,and denoise field measurement data,abnormal values were precisely identified and excluded,thereby elevating the technical rigor and depth of quota measurement.
tunnelingthree-bench cutting excavationquota measurementconstruction organization modeldata error handling model
维普
万方数据
