针对矿区地上下海量、多源空间数据在组织调度时,程序运行效率低、表达效果不理想的问题,提出了多层次混合索引策略。对多源空间数据进行地上下一体化的组织管理,在兼顾不同数据模型表达优势的同时,通过模型之间的拓扑关系和空间索引,实现不同数据模型之间的逻辑整合,构建浑然一体的地上下一体化三维空间数据组织模型。该模型可快速查询、选取目标数据,同时根据屏幕分辨率来判断抽稀级别,通过要素抽稀算法消除了大数据量显示时视觉裂缝、抖动、突跳等问题,极大地改善了三维可视化效果。

In this paper, for the problem of mine ground and underground the traditional massive, multi-source spatial data in the organization of the scheduler, the program was running low efficiency, the expression was not satisfied, we proposed a multi-level mixed indexing strategy, which could organize and manage multi-source spatial data. This strategy could take into account the advantages of the different data models expression, implement logic integration between different data models by topological relations, construction of the seamless vertically integrated 3D spatial data model that could quickly find and select the target data, and has high stability. When the elements of the display based on the screen resolution to determine the level of thinning, this model sets a certain thinning threshold can guarantee the number of elements within the viewport, eliminate the large amount of data displayed visual cracks, jitter, jumps and other expression issues, and greatly improves the visualization effect.