期刊文献+

浅析基于大数据水利工程监管体系构建与应用

Brief Analysis on Construction and Application of Supervision System for Water Conservancy Project Based on Big Data
下载PDF
导出
摘要 大数据技术的不断发展与应用,大幅度推动了其他行业的快速进步。然而在水利工程领域,大多数从业者对大数据技术还比较陌生,尤为不了解基于大数据技术水利工程监管体系的运行原理和应用现状。通过大量调研,在梳理大数据与水利大数据概念基础上,探讨与分析水利工程中大数据监管体系框架的构建与应用情况,发掘目前水利工程中大数据技术应用还偏向宏观框架或侧重单项需求,以期为水利行业人员了解与推动大数据技术发展提供一定参考。 With the continuous development and application of big data technology,the development and progress of relevant industries have been greatly promoted.However,the most practitioners in the field of water conservancy engineering are still relatively unfamiliar with the big data technology,especially unfamiliar with the operation principle and application status of the water conservancy engineering supervision system based on big data technology.Through a great deal of investigation,on the basis of sorting out the concepts of big data and water conservancy big data,the construction and application of the big data supervision system framework in water conservancy engineering are discussed and analyzed.It is found that the application of big data technology in water conservancy engineering also tends to be macro-framed or is focused on the individual requirements in order to provide some reference for the water conservancy industry personnel to understand and promote the development of big data technology.
作者 邓国民 DENG Guomin
出处 《城市道桥与防洪》 2024年第1期175-177,M0015,共4页 Urban Roads Bridges & Flood Control
关键词 大数据 水利 监管体系 框架 构建 需求 应用 big data water conservancy supervision system framework build demand application
  • 相关文献

参考文献12

二级参考文献99

  • 1韩旭,罗登昌.长江堤防工程大数据基本特征及应用策略[J].人民长江,2020(S01):262-264. 被引量:3
  • 2李国杰.大数据研究的科学价值[J].中国计算机学会通讯,2012,8(9):8-15.
  • 3周晓方,陆嘉恒,李翠平,等.从数据管理视角看大数据挑战[J].中国计算机学会通讯,2012,8(9):16-20.
  • 4James G.Kobielus,Stephen Powers,Brian Hopkins,Boris Evelson,Shannon Coyne.The Forrester Wave:Enterprise Hadoop Solutions,Q12012,2012.
  • 5James Manyika,Michael Chui,Brad Brown,Jacques Bughin,Richard Dobbs,Charles Roxburgh,Angela Hung Byers.Big data:The next frontier for innovation,competition,and productivityReport of McKinsey Global Institute,2011.
  • 6AMD White Paper:Big Data—It’’s not just for Google Any More.
  • 7Paul C.Zikopoulos,Dirk deRoos,Krishnan Parasuraman,Thomas Deutsch,David Corrigan,James Giles.Harness the Power of Big Data The IBM Big Data Platform,2013.
  • 8Danah Boyd,Kate Crawford.Six Provocations for Big DataOxford Internet Institute’’s"A Decade in Internet Time:Symposium on the Dynamics of the Internet and Society",2011.
  • 9IBM Redbooks.Turning Big Data into Actionable Information with IBM InfoSphere StreamsIBM Redbooks Solution GuideVPCorporate StrategyHortonworksSteve WooledgeSrDirectorMarketing.
  • 10Teradata Aster.Harnessing the Value of Big Data Analytics How to Gain Business Insight Using MapReduce and Apache Hadoop with SQL-Based Analytics.

共引文献326

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部