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2. Ningbo Cixing Co., Ltd., Ningbo 315336, China;
3. The State Key Laboratory of Management and Control for Complex Systems;Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
4. Qingdao Academy of Intelligent Industries, Qingdao 266109, China;
5. Beijing Engineering Research Center of Intelligent Systems and Technology;Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China, fund=null, authors=LI Lijun1,2 , WANG Xiao3,4 , SHANG Xiuqin3,4,5 , authorsList=LI Lijun, WANG Xiao, SHANG Xiuqin), CN=ArticleExt(id=1242137186418630925, articleId=1242137181435797746, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=平行制造及其在纺织鞋服产业中的应用, columnId=1242137176117420264, journalTitle=科技导报, columnName=专题:智能制造, runingTitle=null, highlight=null, articleAbstract=分析了如何借助机器视觉、VR等新型智能技术将工业机器人和工业物联网应用于纺织鞋服装行业,提出平行制造的架构体系,以此为基础打造全球化分布式的柔性供应链,实现对传统产业的智能化转换。平行制造综合应用工业机器人、物联网、云计算和计算机视觉技术,打造与车间高度自动化的生产设备同步进行决策管控的云端虚拟工厂,同时与终端无人化的制衣和制鞋工厂相结合,虚实互动、终端制造、云端管控,构建基于工业互联网的全球化分布式协同生产管理平台。以宁波慈星股份有限公司的“云制造”平台为例,阐释了平行制造如何使得针织鞋服产品的大规模柔性“按需”生产成为可能,平台有效提升了劳动生产率、降低了生产成本、减少用工人数。, correspAuthors=null, authorNote=李立军,高级工程师,研究方向为智能制造,电子信箱:james.li@cxrobotics.com, correspAuthorsNote=商秀芹(通信作者),博士,研究方向为智能制造、社会制造,电子信箱:xiuqin.shang@ia.ac.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=DlvMqzj+sn0n0BtN9Reg8Q==, pdfFileSize=3806480, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 东南大学自动化学院, 南京 210096;
2. 宁波慈星股份有限公司, 宁波 315336;
3. 中国科学院自动化研究所, 复杂系统管理与控制国家重点实验室, 北京 100190;
4. 青岛市智能产业技术研究院, 青岛 266109;
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科技导报
| 专题:智能制造 2018, 36(21): 48-55
平行制造及其在纺织鞋服产业中的应用
全屏
李立军1,2 , 王晓3,4 , 商秀芹3,4,5
作者信息
1. 东南大学自动化学院, 南京 210096;
2. 宁波慈星股份有限公司, 宁波 315336;
3. 中国科学院自动化研究所, 复杂系统管理与控制国家重点实验室, 北京 100190;
4. 青岛市智能产业技术研究院, 青岛 266109;
5. 中国科学院自动化研究所, 北京智能技术工程研究中心, 北京 100190
通讯作者:
商秀芹(通信作者),博士,研究方向为智能制造、社会制造,电子信箱:xiuqin.shang@ia.ac.cn
Parallel manufacturing for textile, footwear and garment industries
Affiliations
出版时间: 2018-11-13
doi: 10.3981/j.issn.1000-7857.2018.21.005
文章导航
分析了如何借助机器视觉、VR等新型智能技术将工业机器人和工业物联网应用于纺织鞋服装行业,提出平行制造的架构体系,以此为基础打造全球化分布式的柔性供应链,实现对传统产业的智能化转换。平行制造综合应用工业机器人、物联网、云计算和计算机视觉技术,打造与车间高度自动化的生产设备同步进行决策管控的云端虚拟工厂,同时与终端无人化的制衣和制鞋工厂相结合,虚实互动、终端制造、云端管控,构建基于工业互联网的全球化分布式协同生产管理平台。以宁波慈星股份有限公司的“云制造”平台为例,阐释了平行制造如何使得针织鞋服产品的大规模柔性“按需”生产成为可能,平台有效提升了劳动生产率、降低了生产成本、减少用工人数。
平行制造
/
纺织鞋服产业
/
虚拟工厂
/
大规模柔性生产
This paper concerns how to apply machine vision and virtual-reality technologies into industrial robots and Internet of Things and to combine big data and cloud computing to construct a parallel manufacturing infrastructure. A worldwide flexible supply chain of footwear and garment industries is introduced to demonstrate the workflow and efficiency of parallel manufacturing. Firstly, a virtual factory is constructed in the cloud, where management policies and decision control data are synchronized with the data generated by highly automated production equipment in the workshop. The virtual factory, executing in parallel with the physical one, supplies tested and optimized decisions and guides the production process in physical factories. To provide worldwide service, a global and distributed cooperative production management platform is built based on the industrial Internet of Things, namely CIXING's cloud manufacturing platform. It operates with low production cost, high work efficiency and reduced labor numbers. It has also been listed as one of the national intelligent manufacturing pilot demonstration project by the Chinese Ministry of Industry and Information Technology.
parallel manufacturing
/
textile,footwear and garment industries
/
virtual factory
/
large-scale flexible production
李立军, 王晓, 商秀芹.
平行制造及其在纺织鞋服产业中的应用.
科技导报,
2018
, 36
(21)
: 48
-55
.
DOI: 10.3981/j.issn.1000-7857.2018.21.005
LI Lijun, WANG Xiao, SHANG Xiuqin.
Parallel manufacturing for textile, footwear and garment industries[J].
Science & Technology Review ,
2018
, 36
(21)
: 48
-55
.
DOI: 10.3981/j.issn.1000-7857.2018.21.005
2018年第36卷第21期
PDF下载
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引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2018.21.005
接收时间:2018-07-20
首发时间:2018-11-27
出版时间:2018-11-13
收稿日期:2018-07-20
修回日期:2018-11-05
通讯作者:
商秀芹(通信作者),博士,研究方向为智能制造、社会制造,电子信箱:xiuqin.shang@ia.ac.cn
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2018.21.005
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 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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