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为弥补现有数字矿床建模技术在地质矿产勘查处理和应用中的不足,从原始勘查数据建库及标准化、多指标单工程矿体自动圈定、基于语义识别的剖面矿体的连接与外推、矿体表面和品位建模、基于剖面矿体线框模型构建矿体表面模型及基于TIN+Octree数据结构和地质统计学理论建立矿体的空间属性模型等5个方面总结提出一套面向地质矿产勘查业务处理的矿床建模流程和总体技术解决方案.提高了地质矿产勘查研究精度,为进一步的矿山开采提供可靠的数据模型.
In order to make up for the deficiencies in the existing digital mineral deposit modeling and processing in geology and mineral exploration and application, this paper starts with the construction and standardization of the original survey data, the automatic delineation of multi-indicator single-engineering ore body, the connection and extrapolation of profile orebodies based on semantic recognition , Ore body surface and grade modeling. Based on the ore body surface model constructed by the profile ore body wireframe model and the spatial attribute model based on the TIN + Octree data structure and geostatistics theory, Mineral prospecting business processing of mineral deposits modeling process and the overall technical solutions to improve the accuracy of geology and mineral exploration research for the further mining to provide a reliable data model.