天铁流体能源数据统计分析系统设计与应用
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- 英文论文题名：The design and Realization of the system in Tiantie fluid energy statistical data analysis
- 论文作者：牛玉英
- 英文论文作者：Niu Yuying ; Tianjin Tiantei Group Computer Control and Communication Plant
- 年：2016
- 作者机构：天津天铁冶金集团有限公司计控电讯厂;
- 论文关键词：流体能源 ; 数据分析 ; 统计 ; SQL Server ; 数据复制
- 英文论文关键词：Fluid energy ; Data analysis ; Statistics ; SQL Server ; Data replication
- 会议召开时间：2016-06-24
- 会议录名称：2016互联网+与钢铁工业智能制造高峰论坛论文集
- 语种：中文
- 分类号：TF08
- 学会代码：HEBE
- 会议名称：2016互联网+与钢铁工业智能制造高峰论坛
- 会议地点：中国河北唐山
- 主办单位：中国金属学会
- 学会名称：河北省冶金学会
- 页数：3
- 文件大小：380k
- 原文格式：O
- 会议级别：全国
摘要
随着公司对能源管理的不断加强,公司能源流体仪表点的不断增加,流体数据成倍增大,手工统计的方式已经远不能满足工作的需求,为了提高工作效率,加强管理,研发了流体能源数据统计分析系统。本系统可以对各种量值进行准确查询,完成能源数据的日统计、月统计、年统计,并可对各种量值进行溯源考核,找出量值效益增长点,为公司创造更好的社会效益和经济效益。
With the company to continue to strengthen energy management,increasing the company energy fluid instrumentation points,fluid data increase,the manual statistical methods can not meet the requirements of the job,in order to improve the work efficiency,strengthen management,research and development of fluid energy data statistical analysis system.This system can be a variety of values accurately complete query,statistical data on energy statistics,month,year statistics,and on the various magnitude traceability assessment,find out the value point of efficiency growth,create better social benefits and economic benefits for the company.
With the company to continue to strengthen energy management,increasing the company energy fluid instrumentation points,fluid data increase,the manual statistical methods can not meet the requirements of the job,in order to improve the work efficiency,strengthen management,research and development of fluid energy data statistical analysis system.This system can be a variety of values accurately complete query,statistical data on energy statistics,month,year statistics,and on the various magnitude traceability assessment,find out the value point of efficiency growth,create better social benefits and economic benefits for the company.
引文
[1]王欣.SQL Server 2005数据挖掘实例分析[M].北京:中国水利水电出版社,2008:163-21 1
[2]李伟红.SQL Server 2000数据库及应用[M].北京:清华大学出版社,2006:215-236
[2]李伟红.SQL Server 2000数据库及应用[M].北京:清华大学出版社,2006:215-236