Abstract: In order to solve the difficulty of constructing high-precision coal seam with limited geological data, a coal seam DEM (Digital Elevation Model) construction and dynamic fine correction method based on multi-source coal seam data was proposed. Firstly, based on the characteristics of coal seam change in mining area, an initial coal seam DEM construction method combining double-track sweep and weighted fusion is proposed. The DEM constructed by this method can reflect the change trend of coal seam,and the Model nodes RMSE and MAE in the vertical direction are less than 0.25 m and 0.2 m respectively. Secondly, the coal seam geological data distributed discretely in the mining area are introduced to calculate the elevation errors of corresponding nodes in coal seam DEM on the basis of the original model. Based on these errors, the residual surface is obtained by fitting, and the DEM nodes are integrated offset by the residual surface. The RMSE and MAE of coal seam DEM are improved to 0.14 m and 0.12 m after the DEM of coal seam is modified by this method. Finally, the continuous coal seam geological data on the working face is introduced to generate a new model segment surface at the working face, and the DEM of the same area is divided. The regional coal seam DEM is reconstructed in the new divided area to cover the original DEM, so as to achieve dynamic fine correction of coal seam DEM. After the DEM of coal seam is modified by this method, the local RMSE and MAE of the model reach below 0.12 m, which can provide a reliable basis for geological information guarantee for the realization of unmanned working face.