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《中国工程科学》 >> 2022年 第24卷 第2期 doi: 10.15302/J-SSCAE-2022.02.007

工业环境下信息通信类技术赋能智能制造研究

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

资助项目 :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) 收稿日期: 2022-01-09 修回日期: 2022-03-07 发布日期: 2022-03-24

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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。

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