主动制造——大数据驱动的新兴制造范式  

Proactive manufacturing-a big-data driven emerging manufacturing paradigm

作　　者：姚锡凡[1] 周佳军 张存吉[1] 刘敏[1] 

机构地区：[1]华南理工大学机械与汽车工程学院,广东广州510640

出　　处：《计算机集成制造系统》2017年第1期172-185,共14页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(51675186;51175187);广东省科技计划资助项目(2016B090918035;2016A020228005)~~

摘　　要：新一轮工业革命将对制造业产生根本性影响,由此形成的基于社会信息物理系统的制造模式,将产生具有结构性、半结构性和非结构性的大数据。为了应对制造大数据的挑战,引入大数据分析技术与主动计算,尤其是事件驱动的主动计算,提出一种大数据驱动的新型制造模式——主动制造;构建了将组织符号学和"观察-定向-决策-行动"循环模型融于一体的大数据驱动通用体系架构,结合社会信息物理系统的制造模式提出一种大数据驱动的主动制造体系架构;从数据价值利用的深度和广度分析了主动制造与现有制造模式的异同,尤其是指出主动制造与智慧制造、智能制造、预测制造和长尾制造模式间的关联关系。The incoming new industrial revolution will transform manufacturing radically,which will result manufacturing in the form of Socio-Cyber-Physical System（SCPS）with big data of structures,semi-structures and unstructures.To deal with such big data in manufacturing,a new manufacturing model,called proactive manufacturing was proposed with the introduction of big data analytics and proactive computing,especially proactive event-driven computing.A big-data driven general architecture fused with organizational semiotics and Observe-Orient-Decide-Act（OODA）loop was set up,which was further extended to a big-data driven proactive manufacturing architecture for SCPS-based manufacturing.The model was compared with existing manufacturing models from the viewpoint of the use of big-data value in depth and width.In particular,the correlations between proactive manufacturing and paradigms such as wisdom manufacturing,smart manufacturing,predictive manufacturing and long tail of making products were addressed.

关 键 词：主动制造 主动计算 主动性 集成制造系统 智慧制造 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TH16[自动化与计算机技术—计算机科学与技术]