主动制造——大数据驱动的新兴制造范式

发布时间：2018-07-02 11:51

本文选题：主动制造 + 主动计算　；参考：《计算机集成制造系统》2017年01期

【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。
[Abstract]:The new industrial revolution will have a fundamental impact on the manufacturing industry, and the manufacturing model based on the social information physical system will produce big data with structural, semi-structural and non-structural. In order to meet the challenge of manufacturing big data, big data analysis technology and active computing, especially event-driven active computing, are introduced, and a new manufacturing mode driven by big data, active manufacturing, is proposed. A common architecture for big data driver, which integrates organizational semiotics and the "observation-direction-decision-action" cycle model, is constructed. Based on the manufacturing model of social information physical system, a big data driven active manufacturing architecture is proposed, and the similarities and differences between active manufacturing and existing manufacturing models are analyzed from the depth and breadth of data value utilization. In particular, the relationship between active manufacturing and intelligent manufacturing, predictive manufacturing and long tail manufacturing patterns is pointed out.
【作者单位】：华南理工大学机械与汽车工程学院;
【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)~~
【分类号】：TP311.13

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