摘要
为充分利用数控加工生产过程中产生的大量数据,解决设备间信息共享率低、生产过程数据接入方式的普适化和数据分析实时性差等问题,研究了基于大数据的数控加工生产线实时监控与优化控制技术框架。在分析数控加工生产大数据特性及应用需求的基础上,从数据来源、基础软件、目标体系和技术体系4个角度构建了数控加工生产线大数据采集与分析平台方案,详细讨论了技术体系中涉及的开放式设备智能控制系统、海量多源异构制造数据预处理、多维视图智能分析与评价、基于特征的信息融合与知识挖掘以及数据驱动的生产运行分析与优化等关键技术。所提体系将对实现大数据驱动的智能工厂有重要借鉴价值。
To make full use of large amount of data generated during NC manufacturing process,and to solve the problems such as low information sharing rate among equipment,low general applicability of accessing production process data and poor real-time data analysis ability,the real-time monitoring and optimization technology framework of CNC machining line based on big data was studied.Based on the analysis of characteristics and application requirements of large-scale numerical control machining production data,a large-scale data acquisition and analysis platform solution was established for numerical control processing production lines.The key technologies involved in technical system such as open CNC system integration,mass multi-source heterogeneous manufacturing data preprocessing,multi-dimensional view intelligence analysis and evaluation,feature based information fusion and knowledge mining and data driven production operation analysis and optimization were discussed in detail.The proposed technical system would provide important referential value for manufacturing industry to realize the smart factory.
作者
刘建康
郝尚华
王树华
富宏亚
LIU Jiankang;HAO Shanghua;WANG Shuhua;FU Hongya(School of Mechatronics Engineering,Harbin Institute of Technology,Harbin 150001,China;Foxconn Industrial Internet Co.,Ltd.,Shenzhen 518000,China)
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2019年第8期1875-1884,共10页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金青年基金资助项目(51805116)
国家科技重大专项“高档数控机床与基础制造装备”资助项目(2018ZX04043001-008)~~
