面向矢量瓦片的海量空间数据并行处理技术

随着地图测绘技术的发展，原始地图数据量呈现爆炸式增长，对地图数据处理的空间及时间效率提出了更高需求。针对上述需求，本文提出一种面向矢量瓦片包含矢量数据切图并行和矢量瓦片上传并行的两级并行处理技术。实验结果表明，此并行处理技术在提高矢量数据切图和矢量瓦片上传效率上有显著效果，在海量矢量数据的高效处理上，本文提出的方法是可行的。

Massive Spatial Data Parallel Processing Technology for Vector Tiles

With the development of map mapping technology, the amount of original map data shows an explosive growth, and there is a higher demand for the spatial and temporal efficiency of map data processing. Aiming at this demand, this paper proposes a two-level parallel processing technique for vector tiles that include vector data cut-plan parallelism and vector tile upload parallelism. The experimental results show that this processing technique has a significant effect on improving the efficiency of vector data cropping and vector tile uploading. In the efficient processing of massive vector data, the proposed method is feasible.