摘要
目的运用知识图谱可视化呈现智能包装目前研究现状,并探究其未来发展趋势,为行业相关从业者提供参考。方法以CNKI数据库"智能包装"中文核心期刊文献为研究样本,利用CiteSpace知识图谱可视化分析软件,对研究样本数据从作者、机构、关键词、时间等维度进行整体分析,再结合传统文献分析方法,进行重要文献内容的深入分析。结果总结得到智能包装3个发展阶段(缓慢起步期、快速发展期和回落稳定期),目前4个重要发展领域(智能包装、包装技术、传感器和包装设计),以及信息系统集成化的发展趋势。结论智能包装的发展将与虚拟现实技术、物联网、系统集成等进行融合,在可预见的未来仍具有可观的发展前景,为包装行业差异化竞争、可持续发展和转型升级提供参考和启示。
The work aims to present the research status of intelligent package in visualization by knowledge graph and explore the future development trend, thus providing a reference for relevant packaging professionals in the industry. With the Chinese core journal literature of ’’intelligent package’’ in CNKI database as the research sample, CiteSpace, a knowledge graph visualization analysis software, was used to make an overall analysis on the research sample data from the dimensions of authors, institutions, key words and time, etc. Combined with traditional literature analysis methods, in-depth analysis was carried out on important literature. Intelligent package had three development stages: a slow start period, a rapid development period, and a fallback stable period. Currently, there were four important development fields: intelligent package, package technology, sensors, and package design. It has been development on the trend of information system integration. The development of intelligent package will be integrated with virtual reality technology, Internet of Things, system integration, etc., which will have considerable development prospects in the foreseeable future, providing reference and enlightenment for differentiated competition, sustainable development and transformation and upgrading of packaging industry.
作者
李祎
肖敦逸
吴岳忠
孙翱魁
LI Yi;XIAO Dun-yi;WU Yue-zhong;SUN Ao-kui(School of Packaging and Materials Engineering,Hunan University of Technology,Zhuzhou 412007,China;Hunan Key Laboratory for Intelligent Information Perception and Processing Technology,Zhuzhou 412007,China)
出处
《包装工程》
CAS
北大核心
2021年第19期243-253,共11页
Packaging Engineering
基金
国家重点研发计划子课题(2018YFB1700204)
湖南省重点领域研发计划(2019GK2133)
湖南省教育厅科学研究优秀青年项目(19B147)
智能信息感知及处理技术湖南省重点实验室开放课题(2017KF07)。
