Knowledge map visualization of technology hotspots and development trends in China’s textile manufacturing industry

IF 2.5 Q2 ENGINEERING, INDUSTRIAL IET Collaborative Intelligent Manufacturing Pub Date : 2021-03-27 DOI:10.1049/cim2.12024
Ruihang Huang, Ping Yan, Xiaoming Yang
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引用次数: 135

Abstract

The knowledge map and visualization on the technological hotspots and the developmental trends of China’s textile manufacturing industry is investigated to understand the developmental frontiers of the textile manufacturing industry technology. This work contributes to the knowledge of research and development trends of the textile manufacturing and apparel industry in a macroscopic way. The Web of Science database and the core set of the Web of Science was explored and 2852 articles in the related fields are identified from 2010 to 2019. The scientific knowledge map of the textile manufacturing technology industry is explored using CiteSpace software. For the last decade, the developmental status, research hotspots and developmental trends of the textile manufacturing and apparel industry are analysed and summarised from the perspectives of key words, hot trends and core authors. The outcomes obtained reveal that in the past 10 years, through the analysis of the technical literature of the textile manufacturing industry, different perspectives were explored where the textile manufacturing industry develops from the initial textile manufacturing treatment. The decolourisation and removal of azo dyes and other traditional textile manufacturing to the composite materials, cotton fabrics leads to the improvement of textile manufacturing wastewater treatment. Currently, the textile manufacturing industry technology has gradually developed towards an intelligent knowledge visualization and decision support. Therefore, this work suggests the developmental directions of textile manufacturing from traditional to intelligent trends, further providing a reference for the later developmental trend and the dynamic planning of China’s textile manufacturing industry technology.

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中国纺织制造业技术热点与发展趋势的知识图谱可视化
通过对中国纺织制造业技术热点和发展趋势的知识图谱和可视化研究,了解纺织制造业的技术发展前沿。这项工作有助于从宏观上了解纺织制造和服装行业的研究和发展趋势。2010年至2019年,对科学网数据库和科学网核心集进行了探索,确定了相关领域的2852篇文章。利用CiteSpace软件对纺织制造技术产业的科学知识图谱进行了探索。从关键词、热点趋势和核心作者的角度,对近十年来纺织制造和服装行业的发展现状、研究热点和发展趋势进行了分析和总结。所获得的结果表明,在过去10年中,通过对纺织制造业技术文献的分析,从最初的纺织制造处理开始,从不同的角度探讨了纺织制造业的发展。偶氮染料的脱色和去除,以及其他传统纺织制造业对复合材料、棉织物的脱色和脱除,改善了纺织制造废水的处理。目前,纺织制造业技术已逐步向智能化的知识可视化和决策支持方向发展。因此,本文提出了纺织制造业从传统走向智能化的发展方向,进一步为中国纺织制造业技术的后期发展趋势和动态规划提供了参考。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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