• 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:

Wang, Qi-Te (Wang, Qi-Te.) | Jia, Ke-Bin (Jia, Ke-Bin.) (学者:贾克斌) | Yuan, Ye (Yuan, Ye.) | Song, Yu-Xin (Song, Yu-Xin.)

收录:

EI Scopus

摘要:

Due to rapid development of the domestic communication industry, energy consumption on network operation and maintenance has become one of the main energy consumptions in China. With the aim of obtaining meticulous managementon enterprise power, raising electricity availability and evaluating the effect of energy-saving measures, it’s crucial for us to develop an intelligent system for data analysis. We first introduces a management system based on B/S architecture and MVC framework with multi-functions of information inquiry, budget analysis, energy management and etc.; and then focus on keytechnologies such as database modeling, database index, stored procedure and trigger and least square method. This intelligent system has been successfully employed in a communication enterprise and has been proved accurate, stable and efficient. © 2014 Springer International Publishing Switzerland. All rights reserved.

关键词:

Budget control Database systems Data handling Energy conservation Energy utilization Information analysis Information management Intelligent systems Least squares approximations

作者机构:

  • [ 1 ] [Wang, Qi-Te]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Jia, Ke-Bin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Yuan, Ye]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Song, Yu-Xin]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

ISSN: 2194-5357

年份: 2014

卷: 298

页码: 365-374

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: 1

归属院系:

在线人数/总访问数:209/3613693
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