摘要
海洋时空大数据体系建设如今面临着数据时空索引难、检索慢的痛点问题。论文面向海洋时空大数据的组织管理,针对现有时空大数据索引模型的不足,依托GeoSOT地球剖分网格理论,建立起地球剖分网格索引大表模型。并利用亿条规模的静态海洋环境数据开展了区域时空查询的典型试验,验证了该索引大表模型的高效时空检索能力,有望依托该技术在未来进一步提高海洋时空大数据的调度和查询检索服务的效率。
The construction of marine spatio-temporal big data is now facing the issue of difficult spatio-temporal index and slow retrieval. Aiming at the organization and management of marine spatio-temporal big data and the shortcomings of the existing spatio-temporal data index model,this paper establishes the Grid Index Bigtable Model based on GeoSOT earth subdivision grid theory. A typical experiment of regional spatio-temporal query is carried out by using 100 million static marine environment data,which verifies the efficient spatio-temporal retrieval ability of this index model. This technique is expected to further improve the efficiency of query and retrieval services of marine spatio-temporal big data in the future.
作者
曲腾腾
许贵林
严小敏
刘颢
程承旗
QU Tengteng;XU Guilin;YAN Xiaomin;LIU Hao;CHENG Chengqi(Peking University,Beijing 100871;Key Laboratory of Environment Change and Resources Use in Beibu Gulf,Ministry of Education,Nanning Normal University,Nanning 530001;Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation,Nanning Normal University,Nanning 530001;Wuhan Digital Engineering Institute,Wuhan 430074)
出处
《舰船电子工程》
2022年第12期98-102,共5页
Ship Electronic Engineering
基金
北部湾环境演变与资源利用教育部重点实验室(南宁师范大学)和广西地表过程与智能模拟重点实验室(南宁师范大学)开放基金(编号:NNNU-KLOP-K1905,NNNU-KLOP-X2105)资助。
关键词
海洋时空大数据
地球剖分网格
索引大表
数据检索
marine spatio-temporal big data
global subdivision grid
index bigtable
data retrieval
