基于CiteSpace的国内棉纺智能化研究图谱分析

doi:10.19398/j.att.202206055

摘要/Abstract

摘要： 随着物联网、人工智能和大数据等技术的进步,近年来纺织行业智能化研究迅速开展。为了解国内棉纺智能化研究发展现状和趋势,本文基于中国知网全文数据库,采用可视化图谱对比分析法,利用CiteSpace科学文献可视化分析软件,对最近20年中各年度文献的发表量、研究单位与作者和关键词展开可视化分析。结果表明:目前中国棉纺智能化研究已初具规模,相关研究文献在数量上整体呈现上升趋势,但是研究单位和作者网络密度较小,交流较少及合作不够紧密,同时未能形成良好的合作交流机制;通过对关键词图谱分析得出,智能化研究已属研究热点,数字化、智能化和节能成为棉纺智能化企业的研究趋势。最后,建议纺织高校、研究机构等不仅要加强与棉纺企业的合作交流,形成较为成熟的智能化体系团队,还要加快学科交叉融合以及与企业相互之间的深度融合,实现设备制造成本低、数据流通量大及智能化的自立自强,推动中国纺织行业智能化的可持续发展与应用。

关键词: 文献计量, CiteSpace, 棉纺机械, 智能化, 纺织强国

Abstract: In recent year, with the progress of the Internet of Things, artificial intelligence, and big data, etc. the intelligent research of textile industry has developed rapidly. Bibliometrics and the knowledge graph method were used as the research method, and CiteSpace scientific literature visualization analysis software was used to visually analyze the publication volume, research units, authors, and keywords of each year over the previous 20 years in order to clearly understand the research status and trend of cotton spinning enterprise intelligence in China. The findings demonstrate that China's cotton textile industry has undergone a scale of intelligent research in recent years, and literary study in this area has generally shown an increasing trend. However, there is a lack of network density among research teams and employees, poor communication, insufficient cooperation, and imperfect exchange and cooperation mechanisms. Digitalization, intelligence, and energy conservation have emerged as the top research trends for cotton textile intelligent firms, and intelligent research has grown in popularity according to the keyword map. Finally, A more developed intelligent system team should then be formed by universities, research institutes, etc. after improving collaboration and information exchanges with cotton spinning businesses. In order to achieve low equipment manufacturing costs, large data flows, and intelligent self-sustainability, it is also important to strengthen interdisciplinary integration and in-depth integration with businesses. This will help to promote the application of intelligent and sustainable development in China's textile industry.

Key words: bibliometrics, CiteSpace, cotton spinningmachinery, intelligent, tex-superpower

中图分类号:

TS102.2⁺11

曹吉强, 王勇, 唐新军, 陈超. 基于CiteSpace的国内棉纺智能化研究图谱分析[J]. 现代纺织技术, 2022, 30(6): 1-7.

CAO Jiqiang, WANG Yong, TANG Xinjun, CHEN Chao. Domestic advance progress of intelligent cotton textile based on CiteSpace graph[J]. Advanced Textile Technology, 2022, 30(6): 1-7.

参考文献

[1] 赵树超,赵连英,潘梁,等.实现智能化与信息化是传统纺纱改造升级的新途径:参观第十八届上海国际纺织工业展览会的启示[J].现代纺织技术,2018,26(5):91-96.
ZHAO Shuchao, ZHAO Lianying, PAN Liang, et al. New ways of transforming and upgrading traditional spinningto achieve intelligentization and informatization: Enlightenment from visiting the 18th session of shanghai international exhibition on textile industry[J]. Advanced Textile Technology, 2018,26(5): 91-96.
[2] 王鹏飞,程华.基于文献计量的国际纺织行业科技创新知识图谱研究[J].现代纺织技术,30(5):259-272.
WANG Pengfei, CHENG Hua. Bibliometric-based study on knowledge mapping of science and technology innovation in the international textile industry[J]. Advanced Textile Technology, 2022,30(5):259-272.
[3] 刘瑾.我国纺织强国目标基本实现[N].经济日报,2021-01-18(3).
LIU Jin. China's textile power goal is basically achieved[N].Economic Daily, 2021-01-18(3).
[4] 曹吉强,程璐,徐红,等.新疆机采棉初加工研究的现状及对策[J].棉纺织技术,2021,49(2):75-79.
CAO Jiqiang, CHENG Lu, XU Hong, et al. Current status and countermeasures of Xinjiang machine-picked cotton primary processing research[J]. Cotton Textile Technology, 2021,49 (02): 75-79.
[5] WASTON A. Industrial big data, cognitive decision-making algorithms, and sustainable production processes in cyber-physical smart manufacturing systems[J]. Journal of Self-Governance and Management Economics, 2020, 8(2): 14-20.
[6] GATES A J, GYSI D M, KELLIS M, et al. A wealth of discovery built on the human genome project-by the numbers[J]. Nature, 2021, 590: 212-5.
[7] 董奎勇.以产品技术美促进“专精特新”企业发展[J].棉纺织技术,2022,50(2):1-3.
DONG Kuiyong. Promote the development of specialized, fine, unique, innovative enterprise by forging product technological aesthetics[J].Cotton Textile Technology, 2022,50(2): 1-3.
[8] 中国纺织机械协会.点亮灯塔！《纺织机械行业“十四五”发展指导性意见》简析[J].纺织机械,2021(5):30-40.
China Textile Machinery Association. Light the lighthouse a brief analysis of the Guiding Opinions on the Development of Textile MachineryIndustry in the 14th Five-year Plan[J]. Textile Machinery, 2021(5): 30-40.
[9] 王军.基于复杂自适应Petri网的棉纺生产预报模型及其优化[D].上海:东华大学,2016:10-13.
WANG Jun. Cotton Spinning Production Forecast Model and Optimization Based on Complex Adaptive Petri net[D]. Shanghai: Donghua University, 2016: 10-13.
[10] 曾科.基于知识的面向棉纺企业的工艺设计系统研究[D].杭州:浙江大学,2007:23-28.
ZENG Ke. Research on the Knowledge Based Process Design System for the Cotton Spinning Enterprises[D]. Hangzhou: Zhejiang University, 2007: 23-28.
[11] 姚明.基于多Agent技术的棉纺企业综合管理信息系统[D].杭州:浙江大学,2006:11-13.
YAO Ming. Management Information System for Cotton Spinning Enterprise Based on Multiagent Technology[D]. Hangzhou: Zhejiang University, 2006: 11-13.
[12] 李杰,陈超美.CiteSpace:科技文本挖掘及可视化[M].北京:首都经济贸易大学出版社,2016:47-55.
LI Hie, CHEN Chaomei. CiteSpace: Technology Text Mining and Visualiazation[M]. Beijing: Captail University of Economics and Business Press,2016:47-55.
[13] 吴芳.智能纺织聚焦[J].棉纺织技术,2019,47(12):89-94.
WU Fang. Intelligent textile focus[J]. Cotton Textile Technology, 2019,47(12): 89-94.
[14] 程隆棣,张洁,张红霞,等.棉纺智能化纺纱关键技术刍议[J].纺织导报,2021, 48(6):50-53.
CHENG Longdi, ZHANG Jie, ZHANG Hongxia, et al. Discussion on the key technology of intelligent cotton spinning[J]. China Textile Leader, 2021, 48(6): 50-53.
[15] 姚穆.纺织产业智能化的发展现状与展望[J].棉纺织技术,2016,44(2):1-3.
YAO Mu. Development status and prospect of intelligent textile industry[J]. Cotton Textile Technology, 2016,44(2): 1-3.
[16] 莫帅,冯战勇,党合玉,等.棉纺细纱锭子发展演变与研究展望[J].纺织学报,2020,41(6):190-196.
MO Shuai, FENG Zhanyong, DANG Heyu, et al. Development and research prospect of cotton spinning spindles[J]. Journal of Textile Research, 2020,41(6): 190-196.
[17] 章友鹤,赵连英,毕大明,等.对第17届上海国际纺织工业展展出的纺纱机械与纺纱器材技术创新的评析[J].现代纺织技术,2016,24(2):46-50.
ZHANG Youhe, ZHAO Lianying, BI Daming, et al.Evaluation on technological innovation of spinning machines and equipments for 17^th Shanhai International Textile Exhibition[J]. Advanced Textile Technology, 2016,24(2):46-50.
[18] 刘广喜,倪远.纺纱工程自动化信息化智能化创新方向的思考[J].纺织器材,2020,47(4):52-59.
LIU Guangxi, NI Yuan. Consideration of the innovation direction of automation, information and intelligence of spinning engineering[J]. Textile Accessories, 2020,47(4):52-59.
[19] 赵阳,陈新鹤,宋均燕.智能纺纱新模式的探索与实践[J].棉纺织技术,2017,45(8):14-18.
ZHAO Yang, CHEN Xinhe, SONG Junyan. Exploration and practice of new mode for intelligent spinning[J]. Cotton Textile Technology, 2017,45(8): 14-18.
[20] 阎迪,李小兰.我国棉纺织行业智能化发展的几点思考[J].棉纺织技术,2018,46(4):74-78.
YAN Di, LI Xiaolan. Thoughts aboutintelligent develop-ment of cotton textile industry[J]. Cotton Textile Techno-logy, 2018, 46(4): 74-78.
[21] 张苏道,薛文良.传统棉纺企业的智能化改造建议[J].棉纺织技术,2022,50(1):4-8.
ZHANG Sudao, XUE Wenliang. Suggestion on intelligent modification of traditional cotton spinning enterprise[J]. Cotton Textile Technology, 2022,50(1):4-8.
[22] 葛陈鹏,季承,糜娜,等.基于制造执行系统的纺纱企业智能化转型探讨[J].棉纺织技术,2021,49(10):42-46.
GE Chenpeng, JI Cheng, MI Na, et al. Intelligent transformation discussion of spinning enterprise based on manufacturing execution system[J]. Cotton Textile Technology,2021,49(10):42-46.
[23] 冯英杰,蒋高明,彭佳佳.人工智能引领纺织行业创新发展[J].现代纺织技术,2021,29(3):71-77.
FENG Yingjie JIANG Gaoming, PENG Jiajia. Innovation and development of textile industry under guidance of artificial intelligence[J]. Advanced Textile Technology, 2021,29(3):71-77.
[24] 姚穆.对当前我国棉纺织产业发展的几点建议[J].棉纺织技术,2017,45(2):1-2.
YAO Mu. Some suggestions for the development of cotton textile industry in China[J].Cotton Textile Technology, 2017,45(2): 1-2.
[25] 高卫东,孙丰鑫.棉纺织科技发展现状及展望[J].棉纺织技术,2019,47(9):1-6.
GAO Weidong, SUN Fengxin. Development status and prospect of cotton textile technology[J].Cotton Textile Technology, 2019,47(9):1-6.
[26] 徐伟锋,胡俊武,祝新军,等.机器视觉在智能化纺纱生产中的应用现状[J].棉纺织技术,2022,50(5):71-74.
XU Weifeng, HU Junwu, ZHU Xinjun, et al. Application status of machine vision in intelligent spinning production[J]. Cotton Textile Technology, 2022,50(5):71-74.