工业环境下信息通信类技术赋能智能制造研究  

Intelligent Manufacturing Enabled by Information and Communication Technology in Industrial Environment

作　　者：李伯虎 柴旭东[3] 刘阳 李潭 林廷宇 韦达茵[3] 李艳东 Li Bohu;Chai Xudong;Liu Yang;Li Tan;Lin Tingyu;Wei Dayin;Li Yandong(The Second Research Academy,China Aerospace Science and Industry Corporation Limited,Beijing 100048,China;School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China;CASICloud-Tech Co.,Ltd.,Beijing 100144,China;Information Engineering School of Nanchang University,Nanchang 330031,China;Beijing Institute of Electronic System Engineering,Beijing 100854,China)

机构地区：[1]中国航天科工集团有限公司第二研究院,北京100048 [2]北京航空航天大学自动化科学与电气工程学院,北京100191 [3]航天云网科技发展有限责任公司,北京100144 [4]南昌大学信息工程学院,南昌330031 [5]北京电子工程总体研究所,北京100854

出　　处：《中国工程科学》2022年第2期75-85,共11页Strategic Study of CAE

基　　金：中国工程院咨询项目“新时期智能制造若干重大问题研究”(2021-HZ-11)。

摘　　要：新智能制造系统作为信息通信技术与工业技术深度融合的产物,为正在快速展开的新一轮工业革命提供了关键支撑;信息通信类技术的快速演进,赋予了新智能制造加速发展的潜力。本文梳理并提出了新智能制造系统的技术体系构成,重点从1类核心技术(工业互联网系统)、4类基础技术(工业大数据、人工智能(AI)、第五代移动通信(5G)、建模仿真/数字孪生)角度阐述了信息通信类赋能技术子体系的内涵及特征;在此基础上系统辨识了信息通信类技术赋能智能制造的纵向应用、横向应用、端到端应用等场景。研究认为,可重点设置先进网络技术、协同计算技术、工业知识推理技术等的科技项目,实施以5G应用与网络协同的研发与产业化、面向新一代AI技术的智能产品及智能互联产品的研发与产业化、自主可控建模仿真/数字孪生工具集及系统的研发与产业化为代表的产业发展内容,以基于5G+工业虚拟现实的工业设计、AI物联网工业平台、基于建模仿真/数字孪生技术的工业产品智能设计为代表的应用示范内容。为此建议,完善高效协同的新智能制造政策推进工作机制,加快建设互联互通标准群,以“产学研”协同方式推动产业链供应链发展,增强智能制造领域产业与教育深度融合。The new intelligent manufacturing system integrates information and communication technologies(ICTs) with industrial technologies and supports the rapidly unfolding new round of industrial revolution. The rapid evolution of ICTs gives intelligent manufacturing the potential for accelerated development. This paper proposes a technical system for the new intelligent manufacturing system and elaborates the connotation and characteristics of a technical subsystem regarding ICTs from the perspective of industrial Internet system technologies and four basic technologies, namely, industrial big data, artificial intelligence(AI), fifth-generation mobile communication(5G), and modeling simulation/digital twin. Subsequently, we present the vertical, horizontal, and end-to-end application scenarios of intelligent manufacturing enabled by ICTs, and propose several suggestions for promoting the new intelligent manufacturing system through ICTs. First, special science and technology projects should be established focusing on advanced networks, collaborative computing, and industrial knowledge reasoning. Second, Industrial development should focus on the R&D and industrialization of the following technologies: 5G application, network collaboration, intelligent and intelligently connected products based on new-generation AI technology, and domestication of modeling simulation/digital twin tool sets and systems. Third,Application demonstration should be conducted regarding industrial design based on 5G Plus industrial virtual reality, industrial platforms for AI Internet of Things, and intelligent design of industrial products based on modeling simulation/digital twin technology.Meanwhile, it is necessary to improve the efficient and collaborative working mechanism for promoting new intelligent manufacturing policies, accelerate the construction of interconnection standard groups, promote the industrial chain and supply chain through industry–university–research collaboration, and enhance the deep integration of industry and

关 键 词：信息通信 智能制造 赋能技术 数字孪生 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]