SMT生产线的智能质量优化技术应用与进展  

Application and Development of Intelligent Quality Optimization Technology of SMT Assembly Line

作　　者：聂国健 谢宽[2,4] 张棠清 李泉洲 陈冰泉 NIE Guojian;XIE Kuan;ZHANG Tangqing;LI Quanzhou;CHEN Bingquan(CEPREI,Guangzhou 510610,China;Key Laboratory of Industrial Equipment Quality Big Data,MIIT,Guangzhou 510610,China)

机构地区：[1]工业和信息化部电子第五研究所数据中心,广东广州510610 [2]工业和信息化部电子第五研究所北京技术支持中心,广东广州510610 [3]工业和信息化部电子第五研究所,广东广州510610 [4]工业装备质量大数据工业和信息化部重点实验室,广东广州510610

出　　处：《电子产品可靠性与环境试验》2020年第5期1-6,共6页Electronic Product Reliability and Environmental Testing

基　　金：陕西省科技计划项目(2018ZDCXL-G-8-8)资助。

摘　　要：电子元器件表面贴装(SMT)生产线作为半导体封装产业的重要组成部分,在我国电子制造业发展中具有重要的地位。随着数字化、自动化技术手段的逐步成熟,SMT生产企业已具备了记录制造过程中人机料法环等各个方面的海量数据的能力,为其大数据分析提供了良好的数据基础。但由于生产企业面临"数据爆炸、知识匮乏"的困境,企业无法对采集完的数据进行有效分析。针对SMT产线数据的智能分析技术进行了阐述,同时对该技术在SMT质量检测手段、工艺关联优化算法和当前SMT产线智能数据采集技术等方面的应用做出了系统性的介绍。As an important part of semiconductor packaging industry,SMT assembly line plays an important role in the development of electronic manufacturing industry of China.With the increasing maturity of digitization and automation technology,SMT manufacturers are able to record mass data in all aspects of the manufacturing process,including man,machine,material,method and environment,which provides a good data foundation for their big data analysis.However,due to the dilemma of"data explosion and lack of knowledge",manufacturing enterprises are unable to carry out effective analysis on the collected data.The intelligent analysis technology of the data from STM assembly line is elaborated,and the application of the technology in SMT quality inspection methods,process correlation optimization algorithms and current SMT production line intelligent data collection technology are introduced systematically.

关 键 词：表面贴装 生产线 数字化 质量优化 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]