Abstract: With the increase of global warming and extreme weather, the problem of power grid icing disasteras will be more prominent. In order to reduce the occurrence of transmission line icing accidents and effectively ensure the safe operation of power system, it is necessary to make full use of the on-line monitoring of transmission line icing. In this paper, the characteristics of ice cover data and interpolation algorithms of several common meteorological data are studied. The natural neighborhood method, inverse distance weight method and Krigin algorithm are used to interpolate and complete the meteorological parameters of missing measurement and abnormal in ice cover data. The applicability of interpolation algorithm in the study area is studied by cross-validation comparison. This paper has accumulated sufficient data basis for the subsequent analysis of historical ice covering sample data.