摘要
焊接生产规模不断向自动化和流水线方式发展 ,对生产管理水平提出了更高的要求。为了从车间已积累的大量的生产历史数据中获得潜在的规律性和趋势 ,为管理者提供决策支持 ,文中在已有的质量在线监测平台和数据库系统上开发了基于先进的数据挖掘技术的焊接生产管理平台 ,同时为了获得有效的挖掘模式 ,对数据进行了预处理 ,建立了焊接车间数据集市。该平台主要使用控制图控制焊接生产产量和废品数量 ;利用决策树方法分析废品产生因素 ,获得了有效的挖掘模型 。
With the development of automatized and flow line welding production,high requirement on quality control and management has been put forward.In order to discover latent rules and tendency and provide decision support from large historical production data,data mining is introduced to welding field and the management platform is developed based on on line monitoring platform and database.At the same time,the data is pre processed and data market is built so as to obtain valid data mining model.Control chart is adopted to control welding production and wasters and decision tree is used to analyze factors leading to defects,which obtain significance for welding production.
出处
《焊接学报》
EI
CAS
CSCD
北大核心
2002年第6期21-24,共4页
Transactions of The China Welding Institution
基金
国家自然科学基金资助项目 (5 0 0 5 0 0 7)
广东省自然科学基金资助项目 (990 5 5 0 )
关键词
生产管理
数据挖掘
焊接
决策支持
data mining
welding production
decision support
management
