Abstract: Aiming at the problem of insufficient integration of surface morphology and internal structure information in the three-dimensional modeling of mining areas,a three-dimensional modeling method for mining areas based on Unmanned Aerial Vehicle (UAV) oblique photography technology and Building Information Modeling (BIM) technology is proposed.This meth od acquires rich texture and spatial information of the mining area surface through UAV oblique photography,and combines BIM technology to construct precise models of ground buildings,facilities,and underground structures,achieving a deep integra tion of surface morphology and internal structure information.Kriging interpolation method is used for geological modeling,and the Iteration Closest Point (ICP) algorithm is utilized to achieve precise registration of point clouds and BIM models,thereby improving the accuracy and practicality of the modeling.Experimental results show that the accuracy of the three-dimensional point cloud model obtained by UAV oblique photography is affected by terrain and flight height,with higher accuracy in flat ar eas and at lower flight heights.The dimensional error of industrial building components in the BIM model is controlled within ± 5 mm,and the spatial position error is ±10 mm.The thickness error of the geological BIM model′s strata is ±0.5 m,and the position error of the strata interface is ±1.0 m.The registration error of data fusion is ±0.25 m,and the data consistency of the fused model reaches 98.5%.After the application of this model,the error in earthwork volume calculation is reduced,and the accuracy and efficiency of safety monitoring are significantly improved,effectively ensuring the efficient and safe operation of the mining area.

Key words: unmanned aerial vehicle oblique photography technology,BIM,3D modeling of mining area,Kriging interpo lation method,data fusion,safety monitoring