Abstract:Ice covering of transmission lines will lead to serious disasters. Based on the ice covering model studied by predecessors, this paper uses SPSS software to model multiple growth function relationships, such as logarithm, cubic, compound, power, S, growth, Logistic and other functions, and selects the one with the best fitting effect as the final modeling result through comparative analysis. The results show that the model has good applicability and high accuracy, so as to improve the effect and efficiency of transmission line icing prediction.