Analysis on the development of industrial internet of things and the transformation of intelligent manufacturing in manufacturing enterprisesbased on the case study of Sany Group
-
摘要: 研究了智能制造的内涵和发展模式,采用了描述性案例研究的方法,以三一重工的智能制造转型过程为例,分析其经历的各个阶段和物联网平台的构建过程,并进行比较分析,将三一重工的智能制造转型过程总结为3个阶段:产品智能化、制造智能化和服务智能化。基于此,为中国制造企业进行智能制造转型、发展工业物联网提出了一些启示。Abstract: The connotation and development mode of intelligent manufacturing are studied. By adopting the descriptive case study and taking the intelligent manufacturing development of Sany Group as an example, the development mode at various stages and the construction of the Internet of Things platform have been studied and analyzed comparatively. The intelligent manufacturing transformation process of Sany Group is summarized as three stages, including product intelligence, manufacturing intelligence and service intelligence. Based on this, some enlightenments are put forward for Chinese manufacturing enterprises to carry out intelligent manufacturing transformation and develop industrial Internet of things.
-
表 1 智能制造发展阶段比较
方向 时间 实现形式 特征 产品智能化 2005年~至今 智能产品 将GPS等智能技术融入产品中,积极研发智能产品 制造智能化 2007年~至今 M2M平台和智能工厂 通过构建物联网平台等实现全过程的制造智能化及建造智能工厂 服务智能化 2008年~至今 ECC客户服务平台 实时定位、监控、管理,及时有效解决问题,挖掘客户需求 -
[1] 吕铁, 韩娜. 智能制造: 全球趋势与中国战略[J]. 人民论坛·学术前沿, 2015, 4(11): 6-17. [2] 吕文晶, 陈劲, 刘进. 工业互联网的智能制造模式与企业平台建设−基于海尔集团的案例研究[J]. 中国软科学, 2019, 34(7): 1-13. doi: 10.3969/j.issn.1002-9753.2019.07.001 [3] Wollschlaeger M, Sauter T, Jasperneite J. The future of industrial communication: Automation networks in the era of the internet of things and industry 4.0[J]. IEEE Industrial Electronics Magazine, 2017, 11(1): 17-27. doi: 10.1109/MIE.2017.2649104 [4] Latif S, Driss M, Boulila W, et al. Deep learning for the industrial internet of things (iiot): a comprehensive survey of techniques, implementation frameworks, potential applications, and future directions[J]. Sensors, 2021, 21(22): 1-45. doi: 10.1109/JSEN.2021.3124447 [5] Cao Y, Jia F, Manogaran G. Efficient traceability systems of steel products using blockchain-based industrial internet of things[J]. IEEE Transactions on Industrial Informatics, 2020, 16(9): 6004-6012. doi: 10.1109/TII.2019.2942211 [6] Wright P K, Bourne D A. Manufacturing intelligence[M]. Boston: Addison-Wesley, 1988: 100-102. [7] 杨叔子, 丁洪. 智能制造技术与智能制造系统的发展与研究[J]. 中国机械工程, 1992, 20(2): 18-21. [8] 李廉水, 石喜爱, 刘军. 中国制造业40年: 智能化进程与展望[J]. 中国软科学, 2019(1): 1-9,30. doi: 10.3969/j.issn.1002-9753.2019.01.001 [9] Ji Z, Peigen L, Yanhong Z, et al. Toward new-generation intelligent manufacturing[J]. Engineering Journal, 2018, 4(1): 11-20. [10] Frank A G, Dalenogare L S, Ayala N F. industry 4.0 technologies: implementation patterns in manufacturing companies[J]. International Journal of Production Economics, 2019, 210(1): 15‐26. [11] 钟志华, 臧冀原, 延建林, 等. 智能制造推动我国制造业全面创新升级[J]. 中国工程科学, 2020, 22(6): 136-142. [12] 谭建荣, 刘达新, 刘振宇, 等. 从数字制造到智能制造的关键技术途径研究[J]. 中国工程科学, 2017, 19(3): 39-44. [13] 周佳军, 姚锡凡, 刘敏, 等. 几种新兴智能制造模式研究评述[J]. 计算机集成制造系统, 2017, 23(3): 624-639. [14] Zhou Y, Zang J Y, Miao Z Z, et al. Upgrading pathways of intelligent manufacturing in China: Transitioning across technological paradigms[J]. Engineering, 2019, 5(4): 691-701. doi: 10.1016/j.eng.2019.07.016 [15] Zhang L, Zhou L F, Rena L, et al. Modeling and simulation in intelligent manufacturing[J]. Computers in Industry, 2019, 112(8): 1-11. [16] 姚锡凡, 景轩, 张剑铭, 等. 走向新工业革命的智能制造[J]. 计算机集成制造系统, 2020, 26(9): 2299-2320.