智慧泰州时空大数据平台的设计与实现被引量：1

Design and realization of spatio-temporal big data platform of smart Taizhou

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摘要 2019年,自然资源部出台了新版《智慧城市时空大数据平台建设技术大纲》,突出时空大数据与国土空间分析,聚焦自然资源服务,服务社会民生。本文围绕新版大纲,主要研究时空大数据建设时空信息云平台研发的总体架构,并介绍了智慧泰州时空大数据平台的关键技术和建设内容。 In 2019,the Ministry of Natural Resources issued a new version of The Technical Outline for The Construction of Spatio-temporal Big Data Platform for Smart Cities,highlighting spatio-temporal big data and territorial space analysis,focusing on natural resources services,and serving people’s livelihood.Centering on the new version of the outline,this paper mainly studies the overall framework of space-time big data construction space-time information cloud platform research and development,and introduces the key technologies and construction content of smart Taizhou space-time big data platform.

作者李观石张彭蔡勇 Li Guanshi;Zhang Peng;Cai Yong(Surveying and Mapping Research Institute of Jiangsu,Nanjing 210013,China;Taizhou Bureau of Natural Resources and Planning,Taizhou 225300,China)

机构地区江苏省测绘研究所泰州市自然资源和规划局

出处《无线互联科技》 2022年第11期58-62,共5页 Wireless Internet Technology

基金智慧泰州时空大数据平台一期项目,项目编号:TZZCDL2020-46。

关键词智慧城市时空大数据三维建模 SOLR smart city spatio-temporal big data 3d model SOLR

分类号 TP311.13 [自动化与计算机技术—计算机软件与理论]

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1郝利娟,刘冬枝.智慧城市时空大数据云平台建设技术大纲研究[J].地理空间信息,2019,17(6):33-35. 被引量：23
2段志强,沈凤娇,黄冠宇,闵梦然.智慧城市时空信息云平台建设研究[J].地理空间信息,2018,16(8):24-27. 被引量：26
3苗凡,阎志远,戴琳琳.基于Zookeeper的配置管理中心设计与实现[J].铁路计算机应用,2018,27(10):26-29. 被引量：6
4赵莹,赵川,黄苾,代飞.BPMN2.0过程模型的语义和分析[J].计算机科学,2018,45(B11):558-563. 被引量：14
5韩贝,马明栋,王得玉.基于Scrapy框架的爬虫和反爬虫研究[J].计算机技术与发展,2019,29(2):139-142. 被引量：24
6吉根林,赵斌.面向大数据的时空数据挖掘综述[J].南京师大学报（自然科学版）,2014,37(1):1-7. 被引量：64

二级参考文献53

1Fayyad U M, Piatetsky-Shapiro G, Smyth P. Knowledge discovery and data mining: towards a unifying framework [ C ]/! Proceedings of KDD-96 : International Conference on Knowledge Discovery and Data Mining. Portland, Oregon : AAAI Press, 1996:82-88.
2Laxman S S, Sastry P S. A survey of temporal data mining [ J ]. Sadhana,2006,31 (2) :173-198.
3Fu T C. A review on time series data mining[ J]. Engineering Applications of Artificial Intelligence,2011,24( 1 ) : 164-181.
4Mennis J, Guo D. Spatial data mining and geographic knowledge discovery:an introduction [ J ]. Computers, Enviroment and Urban Systems,2009,33 ( 6 ) :403-408.
5Tsoukatos I, Gunopulos D. Efficient mining of temporal-spatial patterns [ C ]//Proceedings of the 7th Symp on Advances in Spatial and Temporal Databases. Berlin Heidelberg : Springer ,2001:425-442.
6Lee A J T, Chert Y A. Mining frequent trajectory patterns in temporal-spatial databases [ J]. Information Sciences,2009, 179(13) :2218-2231.
7Li X, Han J, Lee J G,et al. Traffic density-based discovery of hot routes in road networks [ C ]//Proc of the 10th Int Conf on Advances in Spatial and Temporal Databases. Berlin Heidelberg: Springer,2007:441-459.
8The Apache Software Foundation. Welcome to Apache Hadoop[ EB/OL]. [ 2013-08-10 ] http ://hadoop. apache, org.
9Dean J, Ghemawat S. MapReduce : simplified data processing on large clusters [ J ]. Communications of the ACM, 2008,51 ( 1 ) : 107-113.
10Aji A, Wang F S, Vo H, et al. Hadoop-GIS : a high performance spatial data warehousing system over mapReduce [ C ]//Tile Proceedings of the VLDB Endowment ,2013,6( 11 ) : 1009-1020.