Article(id=1242138487181353307, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138447402578629, articleNumber=null, orderNo=19, doi=10.3981/j.issn.1000-7857.2020.14.012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1589904000000, receivedDateStr=2020-05-20, revisedDate=1592668800000, revisedDateStr=2020-06-21, acceptedDate=null, acceptedDateStr=null, onlineDate=1597052464520, onlineDateStr=2020-08-10, pubDate=1595865600000, pubDateStr=2020-07-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1597052464520, onlineIssueDateStr=2020-08-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078493158, creator=sys-migrate, updateTime=1774078493158, updator=sys-migrate, issue=Issue{id=1242138447402578629, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='14', pageStart='1', pageEnd='162', issueExtLink='null', onlineDate='null', pubDate='1595865600000', pubDateStr='2020-07-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078483673, creator='sys-migrate', updateTime=1774078483673, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=116, endPage=125, ext={EN=ArticleExt(id=1242138491207885171, articleId=1242138487181353307, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Big data manufacturing service model driven by digital twin, columnId=1242138471897314102, journalTitle=Science & Technology Review, columnName=Innovation Development, runingTitle=null, highlight=null, articleAbstract=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., authors=LI Renwang¹, XIAO Renbin², authorsList=LI Renwang, XIAO Renbin, authorCompany=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, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=r815DmHFJ9zfKuv00hDkyA==, pdfFileSize=4263120, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242138490083811684, articleId=1242138487181353307, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=数字孪生驱动的大数据制造服务模式, columnId=1242138469707882772, journalTitle=科技导报, columnName=创新发展, runingTitle=null, highlight=null, articleAbstract=大数据、数字孪生等新技术引发了人们对制造模式的新思考，结合《中国制造2025》中制造业服务化重要内容，提出一种数字孪生驱动的大数据制造服务新模式。从智能制造与数字孪生、制造服务模式方面综述了国内外相关研究进展；提出了一个数字孪生驱动的大数据制造模式开放式体系架构及其运作逻辑；从数字孪生驱动的2个世界及其描述、数字孪生与大数据的结合、大数据制造服务模式中模型建立与优化3个方面对大数据制造服务模式使能技术进行了研究。该制造服务模式对促进中国传统制造企业转型升级和提升新国际竞争环境下综合竞争力具有理论和现实意义。, authors=李仁旺¹, 肖人彬², authorsList=李仁旺, 肖人彬, authorCompany=1. 浙江理工大学机械与自动控制学院, 杭州 310018;
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