Research On Spatial Interpolation Algorithm Of 3D Model Of Metallic Ore Body

Judging whether one ore deposit is productive or not is based on the estimation of ore body's grade which depends on limited and discrete sampling of geological exploration in the mining design.This kind of estimation of ore body's grade is also the foundation of production scheduling system.However,because the ore body's grade of geological exploration sample data has spatiality,anisotropy,discontinuity and nonlinearity,spatial interpolation provides a kind of more accurate and efficient method to spatial distribution of ore body's grade data.It's the key point for getting more accurate grade value that we can choose the suitable spatial interpolation algorithm based on the characteristics of the data.To reflect the spatial distributive characteristics of Fe in Zhongguan iron mine in Xingtai,Hebei,this thesis builds the 3D model for ore body of survey region and adopts geostatistical analysis based on GIS.This thesis explores and analyzes the grade data on ample points of Zhongguan iron mine.In order to get attribute information of ore body in survey region by the attribute information of known sample points,this thesis executes spatial interpolation by adopting Inverse Distance to a Power method and Kriging method.The results indicate that if the sample points in survey region are large enough,ore body grade value from Inverse Distance to a Power method and Kriging method is close to the grade value from actual production.But Kriging method is more accurate.If he sample points in survey region are not large enough,the grade value from Kriging method has large deviation to actual production,but the grade value from Inverse Distance to a Power method is still close to actual production.Therefore,spatial interpolation algorithm is able to predict the ore body grade value from known sample points,and it can reflect the Spatial distributive characteristics of ore body grade value.Figure 35;Table 12;Reference 57...