期刊文献+

节能减排实时数据中心的构建与实现 被引量:1

Construction and Implementation of Energy-saving and Emission Reduction Real-time Data Center
下载PDF
导出
摘要 浙江省电力行业节能减排实时数据中心基于海迅实时数据平台开发,实现了丰富的业务应用功能,有效地消除了发电厂、业务部门及监管部门等各个信息孤岛的信息隔阂,高效、快速、方便地接入、存取发电厂的节能减排实时数据。简要分析海迅数据平台的特点,提出节能减排数据中心的技术架构,介绍基于实时数据中心的节能减排监管系统的应用要点。 The energy-saving and emission reduction real-time data center for Zhejiang electric power indus-try is developed on the basis of Highsoon real-time data platform. It is full of rich business applications and can effectively get rid of information barrier of information islands , such as power plant, business department and supervision department; it has effective , rapid and convenient access to real-time energy-saving and e-mission reduction data from power plant. The paper briefly analyzes characters of Highsoon data platform and proposes technical architecture of energy-saving and emission reduction data center; furthermore, it intro-duces application essentials of energy-saving and emission reduction supervision system based on real-time data center.
出处 《浙江电力》 2014年第3期58-62,共5页 Zhejiang Electric Power
关键词 海迅数据平台 节能减排 实时数据中心 Highsoon data platform energy-saving and emission reduction real-time data center
  • 相关文献

参考文献6

二级参考文献27

  • 1蒙永苹,许勇,王俊永,李文涛,熊敏.基于PI数据库的实时动态监测系统(WAMS)的建设与应用[J].电力设备,2007,8(7):36-40. 被引量:10
  • 2SHENOY P, HARITSA J R, SUDARSHAN S, et al. Turbo-Charging vertical mining of large databases[ C]//Proc of the ACM SIGMOD International Conference on Management of Data, Te. New York:ACM Press, 2000 : 22 -33.
  • 3ZAKI M J. Scalable algorithms for association mining [ J ]. IEEE Trans on Knowledge and Data Engineering, 2000,12 ( 3 ) : 372- 390.
  • 4ZAKI M J,GOUDA K. Fast vertical mining using diffsets[ C]//Proc of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York :ACM Press,2003:326-335.
  • 5ZAKI M, HSIAO C. CHARM:an efficient algorithm for closed itemset mining[ C]//Proc of the 2nd SIAM International Conference on Data Mining. Virginia: [ s. n. ] ,2002:457-473.
  • 6OMIECINSKY E, SARASERE A, NAVATHE S. An efficient algorithm for mining association rules in large databases[ C]//Proc of the 21th International Conference on Very Large Data Bases. San Francisco: Morgan Kaufmann Publishers Inc, 1995:432-444.
  • 7AGRAWAL R, SRIKANT R. Fast algorithms for mining association rules[ C]//Proc of the 20th International Conference on Very Large Data Bases. San Jose : Morgan Kaufmann, 1994:487-499.
  • 8MOHAMMAD E, OSMAR R. Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining [ C]//Proc of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York:ACM Press,2003: 109-118.
  • 9ASHRAFI M Z, TANIAR D, SMITH K. An efficient compression technique for vertical mining methods [ C ]//Proc of Research and Trends in Data Mining Technologies and Applications in the United Kingdom by Idea Group Publishing. London : David Taniar,2007 : 143-173.
  • 10ADSP- 21065L SHARC User's Manual. America.Analog Devices.

共引文献56

同被引文献11

引证文献1

二级引证文献5

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