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Big data manufacturing service model driven by digital twin
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Science & Technology Review | 2020, 38(14) : 116 - 125
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Science & Technology Review | 2020, 38(14): 116-125
• Innovation Development •
Big data manufacturing service model driven by digital twin
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LI Renwang1, XIAO Renbin2
Affiliations
    1. Faculty of Mechanical Engineering&Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China;
    2. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Published: 2020-07-28 doi: 10.3981/j.issn.1000-7857.2020.14.012
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New technologies such as digital twin and big data etc., have triggered people's new thinking on manufacturing mode. Therefore, this paper proposes a new model of big data manufacturing services driven by digital twin, combining with the important content of manufacturing services in the "Made in China 2025" plan. First of all, the research progress of intelligent manufacturing, digital twin and manufacturing service mode at home and abroad is reviewed. Secondly, an open architecture and operation logic of big data manufacturing mode driven by digital twin is proposed. Thirdly, the enabling technology of big data manufacturing service mode is studied from three aspects: the two world driven by digital twin and its description, the combination of digital twin and big data, and the model establishment and optimization of big data manufacturing service mode. This new manufacturing service model has theoretical and practical significance for promoting the transformation and upgrading of traditional manufacturing enterprises and promoting the comprehensive competitiveness in the new international competitive environment.
digital twin  /  big data  /  manufacturing service model
李仁旺, 肖人彬. 数字孪生驱动的大数据制造服务模式. 科技导报, 2020 , 38 (14) : 116 -125 . DOI: 10.3981/j.issn.1000-7857.2020.14.012
LI Renwang, XIAO Renbin. Big data manufacturing service model driven by digital twin[J]. Science & Technology Review, 2020 , 38 (14) : 116 -125 . DOI: 10.3981/j.issn.1000-7857.2020.14.012
Year 2020 volume 38 Issue 14
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doi: 10.3981/j.issn.1000-7857.2020.14.012
  • Receive Date:2020-05-20
  • Online Date:2020-08-10
  • Published:2020-07-28
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  • Received:2020-05-20
  • Revised:2020-06-21
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
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Percentage of
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Genus
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Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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