摘要
周边查询是基于位置服务（LBs）应用的基本功能，本文针对有限的嵌入武系统资源和大量的POI数据处理之间的矛盾，采用基于R树的数据索引结构和周边查询算法，并运用多线程并行处理的方法加快搜索效率，充分发挥了嵌入式系统多核优势，减少了查询过程中的文件读取操作和内存占用率，提高了查询效率，改善了用户体验。实验表明，该索引结构和查询算法适应资源有限的嵌入式系统。
Ambient inquiry is a basic function of location based service （LBS）. To deal with the contradiction between the em- bedded system with limited resources and the large amounts of POI data, the data index structure and algorithm based on R tree method and multithreading parallel processing are employed to make full use of the advantages of muhi-core embedded system, and reduce the file reading operation and memory usage in inquiry process, which can improve the efficiency and user experience. Experiments show that this index structure and inquiry algorithm can be used in resource bruited embedded system.
出处
《测绘科学与工程》
2017年第2期40-43,共4页
Geomatics Science and Engineering
