工业互联网的概念、体系架构及关键技术

doi:10.11959/j.issn.2096-3750.2022.00272

Abstract

Abstract:

As one of the key paths to realize the digital transformation of traditional industries, the industrial internet has attracted widespread attention in both the academia and the industry.As the content of the industrial internet is quite extensive, while its system architecture and key technologies are constantly evolving and developing, it also confronts problems such as unclear conceptual scope, unsound system architecture, and unclear key technologies.In order to further explore the above issues, the basic concepts of the industrial internet were clarified by sorting the relationship between the industrial internet and three other concepts of the industrial internet of things, industry 4.0/5.0, and intelligent manufacturing.Based on the analysis of the industrial internet system architecture and the key technologies involved, the challenges faced by the industrial internet were summarized and the future research directions in the industrial internet field were looked forward.

Key words: industrial internet, system architecture, intelligent manufacturing, industrial intelligent

CLC Number:

F424
TP393

Jin QI, Wei WANG, Mengxi CHEN, Bin XU, Zhenjiang DONG, Yanfei SUN. Concept, architecture and key technologies of industrial internet[J]. Chinese Journal on Internet of Things, 2022, 6(2): 38-49.

Figures/Tables 8

关键技术	支撑作用	应用场景	应用挑战
5G	工业互联网网络互联的基础设施	●5G+超高清视频	●工业领域需要提高基础设施数字化能力
	●保证海量工业数据实时回传	●5G+AR/VR	●加强对工业领域解决方案的研发
	●有效满足不同工业场景连接需求	●5G+无人机
		●5G+云端机器人
		●5G+远程控制
		●5G+机器视觉
		●5G+云化AGV
边缘计算	工业互联网的计算基础设施	●设备优化	●工业领域存在设备接口标准不统一、测
	●降低工业现场复杂性	●工艺过程优化	试标准不统一的问题
	●提高工业数据计算的实时性和	●工厂全价值链优化	●提升边缘计算的互操作性、安全性以及
	可靠性		智能边缘操作管理服务
		●调度与生产管理场景
		●故障诊断与参数优化场景
		●异常预测与过程控制场景
		●设备/系统预测性维护场景	●实时性
工业智能	工业互联网形成数据优化闭环的关键	●复杂质量（缺陷）监测场景	●可靠性
	●为用户提供指导	●不规则物体分拣场景	●可解释性
		●设备/制造工艺优化场景
		●供应链风险场景
		●产品研发场景
		●企业决策管理场景
		●工艺流程虚拟规划
数字孪生	工业互联网平台的重要场景	●设备自动化虚拟调试	●建模工作量大、周期长
	●对高价值设备或产品进行健康管理	●产品数字化研发	●不同场景需要设计不同数据分析模型
		●工厂三维可视联动
		●设备身份管理
		●设备访问控制
		●设备生产流程管理
	工业互联网平台的保障	●供应链可视化
区块链	●解决高价值制造数据的追溯问题；	●工业物流管理	●与工业互联网的集成融合
	●辅助制造业不同主体间高效协同	●工业品回收	●标准制定
		●分布式生产
		●供应链金融
		●租赁
		●二手交易

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	工业互联网	工业物联网
联系	工业互联网涵盖了IIoT
	两者都强调工业的数字化、智能化发展
区别	不仅包含工业领域，而且延伸到企业的信息系统、业务流程和人员工业　　　　强调IoT在工业领域的应用
	实现“人-机-物”全面互联，追求数字化　　　　　　强调物与物的连接，追求自动化和智能化

	工业互联网	工业4.0/5.0
联系	具有相同的内核：网络物理系统CPS^[15]
	两者都将走向智能制^[16]
区别	工业互联网关注的是数字化和AI技术驱动	更加突出了研究和创新的重要性，
	提高生产效率和灵活性	以期工业为人类提供长期服务
	追求生产制造的效率目标	注重以人为本、工业生产的可持续性和弹性

	工业互联网	智能制造
联系	具有相同的内核：网络物理系统CPS^[17]
	工业互联网是实现智能制造的关键使能技术
区别	工业互联网通过工业平台为工业企业提供定制服务，	智能制造是制造企业打造智能
	为智能制造的发展模式奠定基础	自动化的愿景目标

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