Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
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DOI：
10.1109/access.2018.2793265
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发表时间：
2018-01-01
期刊：
影响因子：
3.9
通讯作者：
Tao, Fei
中科院分区：
文献类型：
--
作者：
Qi, Qinglin;Tao, Fei
随着新一代信息技术的进步，尤其是大数据和数字孪生技术的发展，智能制造正成为全球制造业转型升级的焦点。智能源于数据。对制造大数据进行综合分析对制造业的各个方面都有益。此外，数字孪生为制造业的信息物理融合铺平了道路，这是实现智能制造的一个重要瓶颈。本文综述了制造业中的大数据和数字孪生技术，包括它们的概念以及在产品设计、生产计划、制造和预测性维护中的应用。在此基础上，从一般角度和数据角度比较了大数据和数字孪生之间的异同。由于大数据和数字孪生可以相互补充，本文还讨论了如何将它们集成以促进智能制造。
With the advances in new-generation information technologies, especially big data and digital twin, smart manufacturing is becoming the focus of global manufacturing transformation and upgrading. Intelligence comes from data. Integrated analysis for the manufacturing big data is beneficial to all aspects of manufacturing. Besides, the digital twin paves a way for the cyber-physical integration of manufacturing, which is an important bottleneck to achieve smart manufacturing. In this paper, the big data and digital twin in manufacturing are reviewed, including their concept as well as their applications in product design, production planning, manufacturing, and predictive maintenance. On this basis, the similarities and differences between big data and digital twin are compared from the general and data perspectives. Since the big data and digital twin can be complementary, how they can be integrated to promote smart manufacturing are discussed.