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作 者:王建伟 郭春喜 白穆 陈钊 WANG Jianwei;GUO Chunxi;BAI Mu;CHEN Zhao(Geodetic Data Processing Centre of Ministry of Natural Resources,Xi'an 710054,China;Shaanxi Bereau of Surveying,Mapping and Geoinformation,Xi'an 710054,China)
机构地区:[1]自然资源部大地测量数据处理中心,陕西西安710054 [2]自然资源部陕西基础地理信息中心,陕西西安710054
出 处:《测绘通报》2020年第12期93-96,105,共5页Bulletin of Surveying and Mapping
摘 要:随着全球卫星导航系统(GNSS)的迅猛发展,国际GNSS服务组织(IGS)发布了各类海量高精度服务数据。目前,IGS数据在GNSS基线解算、精密单点定位、卫星精密定轨、地壳形变监测、地球电离层和地球动力学研究等领域得到了广泛应用。传统的IGS服务数据下载过程烦琐而耗时,且易出错。如何快速且正确获取IGS数据是当前用户迫切关心的问题。本文基于FTP文件传输协议,设计了实时线程池并发和断点续传算法,并对海量IGS数据进行一站式分类下载测试,通过对试验结果进行分析比较,最终得出海量数据最优的获取方法。With the rapid development of global navigation satellite system (GNSS),the international GNSS service (IGS) released high-precision and massive service data. At present,the IGS data have been widely used in GNSS baseline solution,precise point positioning,satellite precise orbit determination,crustal deformation monitoring,earth-ionosphere and geodynamics research. The traditional IGS data download process is tedious,time-consuming and error-prone. How to obtain IGS data quickly and correctly is an urgent concern of current users. This thesis based on file transfer protocol (FTP),realtime thread pool concurrency model and brokenpoint continuingly transferring algorithms are designed to conduct one-stop classified acquisition test for massive IGS data. Finally,by analyzing and comparing the test result,the optimal method for massive data is obtained.
分 类 号:P228[天文地球—大地测量学与测量工程]
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