首页 | 本学科首页   官方微博 | 高级检索  
     

基于数据挖掘技术的重型装备企业工艺方案能耗预测方法研究
引用本文:沈文杰,戴毅茹,王坚.基于数据挖掘技术的重型装备企业工艺方案能耗预测方法研究[J].机电产品开发与创新,2013(6):90-92.
作者姓名:沈文杰  戴毅茹  王坚
作者单位:同济大学CIMS研究中心,上海201804
基金项目:上海市信息化发展专项资金项目(重型装备企业生产流程能源优化关键技术研发及应用-201102023)
摘    要:针对大中型高能耗的企业,提出了一种基于SQL Server2008的数据挖掘软件平台,研究从海量生产数据中挖掘节能潜力,并对该系统在重型企业的应用做了实例分析,采用线性回归等算法,从给出方案中选择最优,证明该方法在分析中具有实用性和可行性.

关 键 词:数据挖掘  SQL  Server  2008  节能潜力分析

Research of Process Program Energy Consumption Prediction Based on Data Mining Technology for Heavy Equipment Enterprise
SHEN Wen-Jie DAI Yi-Ru WANG Jian.Research of Process Program Energy Consumption Prediction Based on Data Mining Technology for Heavy Equipment Enterprise[J].Development & Innovation of Machinery & Electrical Products,2013(6):90-92.
Authors:SHEN Wen-Jie DAI Yi-Ru WANG Jian
Affiliation:SHEN Wen-Jie DAI Yi-Ru WANG Jian (CIMS Research Center, Tongji University, Shanghai 201804, China)
Abstract:For medium-sized enterprises with high energy consumption, a data mining software platform is proposed based on SQL Server2008 in order to study energy-saving potential from the mass production data. And enterprise in the system application is an example, which adopts regression algorithm and selects the best program. The method for analysis energy-saving potential in enterprise has proved to be practical and feasible.
Keywords:data-mining  SQL Server 2008  energy potential analysis
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号