Given the existing ice thickness calculation model based on the wire state equation, which involves many input parameters, there is still no effective quality control for the relevant parameters to improve the accuracy of the model. This article is based on the existing ice thickness calculation model, using expert scoring, sensitivity coefficient, and 3 σ Principles, wavelet transform and other algorithms are used to effectively identify key influencing factors in the input parameters of the model, and to control the quality of key factor acquisition values. Finally, the performance of these algorithms in improving the accuracy of calculation results is compared with artificial ice observation results. Research has shown that, after selecting appropriate evaluation indicators, under the joint evaluation of expert scoring and sensitivity coefficient, the tensile value has the greatest impact on the ice thickness, followed by the vertical span, and there is a negative correlation between the vertical span and the ice thickness; three σ The effective rejection rate for outliers in principle is 12.37%, and the effect of db wavelet on handling tensile outliers is better than that of bio wavelet. After quality control of tensile values, the accuracy of existing ice thickness calculation models can be improved by 11.24%. This study can effectively improve the accuracy of the calculation model for icing thickness, and provide good guidance for anti icing, anti icing, and ice melting decisions of transmission lines during icing periods.