摘 要：文章利用文献计量分析方法，对智能工厂领域的研究现状、国家与机构分布情况、知识演进脉络、国内外研究力量等进行了研究。结果表明，智能工厂正处于快速发展阶段，智能制造技术不断融入工业、能源、交通、健康等众多领域；德国、美国等国是该领域的技术领导者；近年来中国智能工厂快速发展，并不断缩小与发达国家的差距。
关键词：智能工厂；文献计量分析；竞争态势；可视化分析
DOI:10.19850/j.cnki.2096-4706.2021.12.032
中图分类号：TP391 文献标识码：A 文章编号：2096-4706（2021）12-0116-09
Visual Bibliometric Analysis of Intelligent Factory Based on Citespace and Vosviewer
CHENG Haolun
(Beijing Institute of Graphic Communication, Beijing 102600, China)
Abstract: Using the bibliometric analysis method, this paper studies the research status in the field of intelligent factory, the distribution of countries and institutions, the context of knowledge evolution, the research strength at home and abroad, etc. The results show that intelligent factories are in the stage of rapid development, and intelligent manufacturing technologies are continuously integrated into many fields such as industry, energy, transportation, health and so on; countries such as Germany and the United States are the technology leaders in this field; in recent years, China's intelligent factories have developed rapidly and continuously narrowed the gap with developed countries.
Keywords: intelligent factory; bibliometric analysis; competitive situation; visual analysis
参考文献：
[1] MAO Y Y，YOU C S，Zhang J，et al. A Survey on Mobile Edge Computing：The Communication Perspective [J].IEEE Communications Surveys & Tutorials，2017，19（4）：2322-2358.
[2] TSAROUCHI P，MAKRIS S，CHRYSSOLOURIS G. Digitalisation and intelligent robotics in value chain of circular economy oriented waste management - A review [J].International Journal of Computer Integrated Manufacturing，2016，29（8）：916-931.
[3] SARC R，CURTIS A，KANDLBAUER L，et，al. Digitalisation and intelligent robotics in value chain of circular economyoriented waste management - A review [J].Waste Management，2019（95）：476-492.
[4] SJODIN D R，PARIDA V，LEKSELL M，et al. Smart Factory Implementation and Process Innovation [J].Research-Technology Management，2018，61（5）：22-31.
[5] MOORE S. Top Trends From Gartner Hype Cycle for Digital Government Technology，2019 [EB/OL].（2019-08-17）.https://www. gartner.com/smarterwithgartner/top-trends-from-gartner-hype-cycle-fordigital-government-technology-2019.
[6] YUE X J，CAI H，YAN H H，et al. Cloud-assisted industrial cyber-physical systems： An insight [J].Microprocessors and Microsystems，2015，39（8）：1262-1270.
[7] Recommendations for implementing the strategic initiative GERMAN INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group [EB/OL].（2013-04-08）https://en.acatech.de/publication/ recommendations-for-implementing-the-strategic-initiative-industrie-4- 0-final-report-of-the-industrie-4-0-working-group/.
[8] 中华人民共和国科学技术部 .“十三五”先进制造技术领 域科技创新专项规划 [J]. 中国计量，2017（12）：9-20.
[9] DAVIS J，EDGAR T，PORTER J，et al. Smart manufacturing， manufacturing intelligence and demand-dynamic performance [J].Computers & Chemical Engineering，2012（47）：145-156.
[10] MONOSTORI L. Cyber-physical production systems：roots from manufacturing science and technology [J].at-Automatisierungstechnik， 2015，63（10）：766-776.
[11] TAO F，ZUO Y，XU L D，et al. IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing [J].IEEE Transactions on Industrial Informatics，2014， 10（2）：1547-1557.
[12] RADZIWON A，BILBERG A，BOGERS M，et al. The Smart Factory：Exploring Adaptive and Flexible Manufacturing Solutions [J].Procedia Engineering，2014（69）：1184-1190.
[13] LEE J，LAPIRA E，BAGHERI B，et al. Recent advances and trends in predictive manufacturing systems in big data environment [J].Manufacturing Letters，2013，1（1）：38-41.
[14] TAO F，CHENG Y，XU L D，et al. CCIoT-CMfg：Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System [J].IEEE Transactions on Industrial Informatic.2014，10（2）： 1435-1442.
[15] CHEN M，MAO S W，LIU Y H，et al. Big Data：A Survey [J]， Mobile Networks & Applications.2014，19（2）：171-209.
[16] GORECKY D，SCHMITT M，Loskyll M，et al.Humanmachine-interaction in the industry 4.0 era [C]//2014 12th IEEE International Conference on Industrial Informatics （INDIN）.Porto Alegre：IEEE.2014：289-294.
[17] KHOROV E，LYAKHOV A，KROTOV A，et al. A survey on IEEE 802.11ah： An enabling networking technology for smart cities [J].Computer Communications，2015（58）：53-69.
[18] FORTINO G，GALZARANO S，GRAVINA R，et al. A framework for collaborative computing and multi-sensor data fusion in body sensor networks [J].Information Fusion，2015（22）：50-70.
[19] WANG S Y，WAN J F，LI D，et al. Implementing Smart Factory of Industrie 4.0：An Outlook [J].International Journal of Distributed Sensor Networks，2016（1）：1-10.
[20] WANG S Y，WAN J F，ZHANG D Q，et al. Towards smart factory for industry 4.0：a self-organized multi-agent system with big data based feedback and coordination [J].Computer Networks，2016 （101）：158-168.
[21] KANG H S，LEE J Y，CHOI S S，et al. Smart Manufacturing： Past Research，Present Findings，and Future Directions [J].international journal of precision engineering and manufacturing-green technology， 2016（3）：111-128.
[22] IVANOV D，DOLGUI A，SOKOLOV B，et al. A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0 [J].International Journal of Production Research，2016，54（2）：386-402.
[23] LI X M，LI D，et al. A review of industrial wireless networks in the context of Industry 4.0 [J].Wireless Networks volume，2017，23 （1）：23-41.
[24] CHEN B T，WAN J F，SHU L，et al. Smart Factory of Industry 4.0： Key Technologies，Application Case，and Challenges [J]. IEEE Access，2018（6）：6505-6519.
[25] MOEUF A，PELLERIN R，LAMOURI S，et al. The industrial management of SMEs in the era of Industry 4.0 [J].International Journal of Production Research，2018，56（3）：1118-1136.
[26] OZTEMEL E，GURSEV S. Literature review of Industry 4.0 and related technologies [J].Journal of Intelligent Manufacturing.2020， 31（1）：127-182.
作者简介：程浩伦（1997—），男，汉族，湖北仙桃人，硕士 研究生在读，研究方向：信息可视化、交互设计、服务设计。