• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Kuai, Hong-Zhi (Kuai, Hong-Zhi.) | Xu, Hong-Xia (Xu, Hong-Xia.)

收录:

CPCI-S

摘要:

At present, with the rapid development of the new generation information and communication technology, the development of the global intelligent water network has been from the theory to reality, and the operation efficiency of water resources has been greatly improved. Wisdom Water Network is a new generation "man - water" interaction idea on the basis of the intelligent water network. We use scientific monitoring and management methods through the Internet of things, the Internet, sensor networks, cloud computing, big data and other advanced technologies and ideas to improve the intelligent interactive ability of water network, so as to promote the coordinated development of water ecology, water environment and water resources. This paper mainly discusses the basic concept of big data wisdom water network, the present status of water network big data and the overall structure of wisdom water network and its related technologies. In order to realize the "wisdom" characteristics of the new generation water internet, we creatively put forward the "Wisdom Water Profile" model, and finally built an omnidirectional, multi-level and three-dimensional interactive wisdom water network decision service platform. Theoretically, it has certain reference value for the informatization construction of water network in China.

关键词:

big data cloud technology semantic web wisdom water network wisdom water profile

作者机构:

  • [ 1 ] [Kuai, Hong-Zhi]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Digital Community, Beijing, Peoples R China
  • [ 2 ] [Xu, Hong-Xia]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Digital Community, Beijing, Peoples R China

通讯作者信息:

  • [Kuai, Hong-Zhi]Beijing Univ Technol, Fac Informat Technol, Engn Res Ctr Digital Community, Beijing, Peoples R China

查看成果更多字段

相关关键词:

相关文章:

来源 :

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND INFORMATION SYSTEMS

ISSN: 2352-538X

年份: 2016

卷: 52

页码: 88-94

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

归属院系:

在线人数/总访问数:414/3650548
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司