Abstract: The high accuracy three dimension (3D) coal seam model is an effective guarantee to realize unmanned mining,however,at present the 3D coal seam model commonly has the problems of static unchanged model and low vertical resolution. In order to meet the requirements of high accuracy 3D coal seam model applied in unmanned min- ing face,the 3D coal seam model must have a process of dynamic precision correction. Therefore,based on the detailed analysis of the influencing factors of modeling uncertainty of 3D coal seam,a dynamic precision correcting technique for the 3D coal seam model is proposed in this paper,which can be used to improve the local accuracy of the 3D coal seam model and realize the limited transparency for coal-mining face. The mainly ideas of this technique are illustrated as follows:first of all,during the constant moving of the coal-mining face,the laser scanning data,roof / floor coal thick- ness and the shearer cutting path information will be dynamically integrated into the 3D coal seam model. Secondly,the quadratic sequence programming method is used to accurately calculate the correction values for the local area in the 3D coal seam model. Also,the Kriging space interpolation algorithm will be used to insert these correction values into the 3D coal seam model. Thirdly,the newly coal seam information revealed at the last stage will be used to dynamically correct the next stage values of the 3D coal seam model. With a step by step iteration and refinement,thus,the accura- cy of the 3D coal seam model is improved,which also really expresses the coal-mining face information based on the modified 3D coal seam model,and provides the key data of unmanned control in coal-mining face. Finally,the experi- mental results carried out in Xiegou Coal Mine proved that the vertical error value within 0. 2 m of the 3D coal seam model local area is improved nearly twice after the correction using the proposed technology during the coal-face mov- ing with one hundred cutting,also,the accuracy in the 3D coal seam model local area and the practical application val- ues are improved.