工业智联网:基本概念、关键技术与核心应用

王飞跃; 张军; 张俊; 王晓

doi:10.16383/j.aas.2018.y000004

工业智联网:基本概念、关键技术与核心应用

doi: 10.16383/j.aas.2018.y000004

王飞跃^1,2,3, ,,
张军^4,,
张俊^1,5,,
王晓^1,2,3,

1.
青岛智能产业技术研究院青岛 266109
2.
中国科学院自动化研究所复杂系统管理与控制国家重点实验室北京 100190
3.
英特尔智能网联汽车大学合作研究中心北京 100190
4.
北京理工大学北京 100081
5.
武汉大学电气工程学院武汉 430072

基金项目:

国家自然科学基金 61533019

国家自然科学基金 91720000

英特尔智能网联汽车大学合作研究中心项目 ICRI -IACV

国家自然科学基金 61702519

北京市科技项目 Z181100008918007

国家自然科学基金 61501461

详细信息

作者简介:
张军  北京理工大学校长, 兼任国家空管新航行系统技术重点实验室主任、综合交通大数据应用技术国家工程实验室主任.2013年当选为中国工程院院士.主要研究方向为民航航路网运行监控、星基航路运行监视、民航飞行校验, 综合交通大数据.E-mail:zhjun@bit.edu.cn

张俊  武汉大学电气工程学院教授.主要研究方向为智能系统, 人工智能, 知识自动化, 及其在智能电力和能源系统中的应用.E-mail:jun.zhang@qaii.ac.cn

王晓  中国科学院自动化研究所复杂系统管理与控制国家重点实验室助理研究员.2016年获得中国科学院大学社会计算博士学位.研究方向为社会交通, 动态网群组织, 人工智能和社交网络分析.E-mail:x.wang@ia.ac.cn

通讯作者:
王飞跃中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任, 国防科技大学军事计算实验与平行系统技术研究中心主任, 中国科学院大学中国经济与社会安全研究中心主任, 青岛智能产业技术研究院院长.主要研究方向为平行系统的方法与应用, 社会计算, 平行智能以及知识自动化.本文通信作者.E-mail:feiyue.wang@ia.ac.cn

计量
- 文章访问数: 3553
- HTML全文浏览量: 472
- PDF下载量: 1607
- 被引次数: 0
出版历程
- 收稿日期: 2018-03-01
- 录用日期: 2018-07-01
- 刊出日期: 2018-09-20

Industrial Internet of Minds: Concept, Technology and Application

WANG Fei-Yue^{1,2,3
, ,},
ZHANG Jun^4
,,
ZHANG Jun^{1,5
,},
WANG Xiao^{1,2,3
,}

1.
Qingdao Academy of Intelligent Industries, Qingdao 266109
2.
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
3.
the Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles, Beijing 100190
4.
Beijing Institute of Technology, Beijing 100081
5.
School of Electrical Engineering, Wuhan University, Wuhan 430072

Funds:

National Natural Science Foundation of China 61533019

National Natural Science Foundation of China 91720000

the Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles ICRI -IACV

National Natural Science Foundation of China 61702519

Beijing Municipal Science and Technology Commission Program Z181100008918007

National Natural Science Foundation of China 61501461

More Information

Author Bio:
Professor Jun Zhang is the President of Beijing Institute of Technology, Director of National Key Laboratory of CNS/ATM, as well as Director of National Engineering Laboratory for Integrated Transportation Big Data. Since 2013, he is an Academician of the Chinese Academy of Engineering. His research interest covers air traffic management, communication/navigation/surveillance, unmanned aerial system, and multi-modal transportation

Professor at School of Electrical Engineering, Wuhan University. His research interest covers intelligent systems, artificial intelligence, knowledge automation, and their applications in intelligent power and energy systems

Assistant professor at the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. She received her Ph. D. degree in social computing from University of Chinese Academy of Sciences, in 2016. Her research interest covers social transportation, cyber movement organizations, artificial intelligence, and social network analysis

Corresponding author: WANG Fei-Yue State specially appointed expert and director of the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. Professor of the Research Center for Computational Experiments and Parallel Systems Technology, National University of Defense Technology. Director of China Economic and Social Security Research Center in University of Chinese Academy of Sciences. Dean of Qingdao Academy of Intelligent Industries. His research interest covers methods and applications for parallel systems, social computing, parallel intelligence, and knowledge automation. Corresponding author of this paper

摘要

摘要: 本文首先阐述了工业网联技术的演化过程，重点讨论了工业智联网产生的技术和时代背景.然后探讨了工业智联网的基本概念、内涵与应用领域.本文详细介绍了工业智联网的关键技术，包括数字虚拟工业技术、新一代知识工程技术、工业资源异构复杂网络管控技术、区块链智能、社会计算、边缘计算等，及其技术平台架构.最后我们以智能工业新模式和工业系统价值挖掘为示例，举例说明工业智联网的应用模式.
- 工业智联网 /
- 知识自动化 /
- 虚拟数字工业 /
- 复杂系统理论 /
- 区块链 /
- 社会计算
Abstract: This article illustrates the concept, technology and applications of industrial internet of minds (ⅡoM). The evolutionary process of inter-connected industrial technology is introduced with emphasis on the background for ⅡoM's emergence. The basic concepts of ⅡoM are explained in details, including digital virtual industrial technology, new-generation knowledge engineering, complex heterogeneous industrial resource networks, blockchain intelligence, social computing, edge computing, etc. Two exemplar applications in intelligent industries and system value mining are used for demonstrating the applicable scenarios of ⅡoM, followed by conclusion remarks.
- Industrial internet of minds /
- knowledge automation /
- digital virtual industry technology /
- complex system theory /
- blockchain /
- social computing
注释:

1) 本文责任编委刘德荣

HTML全文

图 1 工业网联技术的演进过程

Fig. 1 The evolutionary process of inter-connected industrial technology

下载: 全尺寸图片幻灯片

图 2 工业智联网的技术平台架构

Fig. 2 Framework of the technological platform of IIoM

下载: 全尺寸图片幻灯片

图 3 工业智联网概念架构与核心技术

Fig. 3 Illustration of the concepts and core technologies of IIoM

下载: 全尺寸图片幻灯片

图 4 数字虚拟工业技术

Fig. 4 Digital virtual industrial technology

下载: 全尺寸图片幻灯片

图 5 虚实交互系统

Fig. 5 Virtual and real interaction system

下载: 全尺寸图片幻灯片

图 6 新一代知识工程技术

Fig. 6 New generation knowledge engineering technology

下载: 全尺寸图片幻灯片

图 7 工业资源异构复杂网络的建模、分析及管控

Fig. 7 Complex heterogeneous industrial resource networks

下载: 全尺寸图片幻灯片

图 8 区块链智能技术

Fig. 8 Blockchain intelligence

下载: 全尺寸图片幻灯片

图 9 社会计算框架

Fig. 9 Architecture of social computing

下载: 全尺寸图片幻灯片

图 10 社会化大规模定制流程图

Fig. 10 Socialized massive customization process

下载: 全尺寸图片幻灯片

图 11 工业智联网内生价值挖掘

Fig. 11 Endogenous value mining IIoM

下载: 全尺寸图片幻灯片

图 12 工业智联网外在资源挖掘

Fig. 12 External resource mining of IIoM

下载: 全尺寸图片幻灯片

参考文献(32)

[1]	P. C. Evans, M. Annunziata. Industrial Internet: Pushing the Boundaries of Minds and Machines[Online], available: https://www.ge.com/docs/chapters/IndustrialInternet.pdf, June 15, 2017.
[2]	Wikipedia. Kevin Ashton[Online], available: https://en.wikipedia.org/wiki/KevinAshton, September 20, 2017.
[3]	GE Digital. Everything You Need to Know About the Industrial Internet of Things[Online], available: https://www.ge.com/digital/blog/everything-you-need-knowabout-industrial-internet-things, December 8, 2017.
[4]	W. Ruh. Why GE Digital Is Positioned To Lead The Industrial Internet Of Things[Online], available: https://www.ge.com/reports/ge-digital-positionedlead-industrial-internet-things-2/, December 19, 2017.
[5]	王飞跃, 张俊.智联网:概念、问题和平台.自动化学报, 2017, 43(12):2061-2070 http://www.aas.net.cn/CN/abstract/abstract19181.shtml Wang Fei-Yue, Zhang Jun. Internet of minds:the concept, issues and platforms. Acta Automatica Sinica, 2017, 43(12):2061-2070 http://www.aas.net.cn/CN/abstract/abstract19181.shtml
[6]	王飞跃.天命唯新:迈向知识自动化-《自动化学报》创刊50周年专刊序.自动化学报, 2013, 39(11):1741-1743 http://www.aas.net.cn/CN/abstract/abstract18213.shtml Wang Fei-Yue. The destiny:towards knowledge automation-preface of the special issue for the 50th anniversary of Acta Automatica Sinica. Acta Automatica Sinica, 2013, 39(11):1741-1743 http://www.aas.net.cn/CN/abstract/abstract18213.shtml
[7]	王飞跃.机器人的未来发展:从工业自动化到知识自动化.科技导报, 2015, 33(21):39-44 http://d.old.wanfangdata.com.cn/Periodical/jqr200105021 Wang Fei-Yue. On future development of robotics:from industrial automation to knowledge automation. Science & Technology Review, 2015, 33(21):39-44 http://d.old.wanfangdata.com.cn/Periodical/jqr200105021
[8]	Li L, Lin Y L, Zheng N N, Wang F Y. Parallel learning:a perspective and a framework. IEEE/CAA Journal of Automatica Sinica, 2017, 4(3):389-395 doi: 10.1109/JAS.2017.7510493
[9]	Wang F Y, Zhang J J, Wang X. Parallel intelligence:toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces. Frontiers of Computer Science, 2018, 12(3):401-405 doi: 10.1007/s11704-018-7903-5
[10]	Giacobini M, Brabazon A, Cagnoni S, Di Caro G A, Drechsler R, Ekart A, et al. Applications of Evolutionary Computing. Berlin Heidelberg:Springer-Verlag, 2001. 1-698
[11]	Dong M X, Ranjan R, Zomaya A Y, Lin M. Guest editorial on advances in tools and techniques for enabling cyberphysical-social systems-Part Ⅰ. IEEE Transactions on Computational Social Systems, 2015, 2(3):38-40 doi: 10.1109/TCSS.2016.2527158
[12]	王飞跃.软件定义的系统与知识自动化:从牛顿到默顿的平行升华.自动化学报, 2015, 41(1):1-8 doi: 10.3969/j.issn.1003-8930.2015.01.001 Wang Fei-Yue. Software-defined systems and knowledge automation:a parallel paradigm shift from Newton to Merton. Acta Automatica Sinica, 2015, 41(1):1-8 doi: 10.3969/j.issn.1003-8930.2015.01.001
[13]	王飞跃, 孙奇, 江国进, 谭珂, 张俊, 侯家琛, 等.核能5.0:智能时代的核电工业新形态与体系架构.自动化学报, 2018, 44(5):922-934 http://www.aas.net.cn/CN/abstract/abstract19283.shtml Wang Fei-Yue, Sun Qi, Jiang Guo-Jin, Tan Ke, Zhang Jun, Hou Jia-Chen, et al. Nuclear energy 5.0:new formation and system architecture of nuclear power industry in the new IT era. Acta Automatica Sinica, 2018, 44(5):922-934 http://www.aas.net.cn/CN/abstract/abstract19283.shtml
[14]	张俊, 高文忠, 张应晨, 郑心湖, 杨柳青, 郝君, 等.运行于区块链上的智能分布式电力能源系统:需求、概念、方法以及展望.自动化学报, 2017, 43(9):1544-1554 http://www.aas.net.cn/CN/abstract/abstract19130.shtml Zhang Jun, Gao Wen-Zhong, Zhang Ying-Chen, Zheng XinHu, Yang Liu-Qing, Hao Jun, et al. Blockchain based intelligent distributed electrical energy systems:needs, concepts, approaches and vision. Acta Automatica Sinica, 2017, 43(9):1544-1554 http://www.aas.net.cn/CN/abstract/abstract19130.shtml
[15]	平健, 陈思捷, 张宁, 严正, 姚良忠.基于智能合约的配电网去中心化交易机制.中国电机工程学报, 2017, 37(13):3682-3690 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=ZGDC201713004&dbname=CJFD&dbcode=CJFQ Ping Jian, Chen Si-Jie, Zhang Ning, Yan Zheng, Yao LiangZhong. Decentralized transactive mechanism in distribution network based on smart contract. Proceedings of the CSEE, 2017, 37(13):3682-3690 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=ZGDC201713004&dbname=CJFD&dbcode=CJFQ
[16]	Zhang J, Wang F Y, Chen S Y. Token economics in energy systems: concept, functionality and applications. eprint arXiv: 1808.01261, 2018. http://econpapers.repec.org/RePEc:arx:papers:1808.01261
[17]	Klitgaard T, Reddy R. Lowering electricity prices through deregulation. Current Issues in Economics and Finance, 2000, 6(14):1-6 https://www.mendeley.com/research-papers/lowering-electricity-prices-through-deregulation/
[18]	胡凯, 白晓敏, 高灵超, 董爱强.智能合约的形式化验证方法.信息安全研究, 2016, 2(12):1080-1089 http://d.old.wanfangdata.com.cn/Periodical/xxaqyj201612003 Hu Kai, Bai Xiao-Min, Gao Ling-Chao, Dong Ai-Qiang. Formal verification method of smart contract. Journal of Information Securyity Research, 2016, 2(12):1080-1089 http://d.old.wanfangdata.com.cn/Periodical/xxaqyj201612003
[19]	袁勇, 王飞跃.区块链技术发展现状与展望.自动化学报, 2016, 42(4):481-494 http://www.aas.net.cn/CN/abstract/abstract18837.shtml Yuan Yong, Wang Fei-Yue. Blockchain:the state of the art and future trends. Acta Automatica Sinica, 2016, 42(4):481-494 http://www.aas.net.cn/CN/abstract/abstract18837.shtml
[20]	Wang F Y. Social computing:concepts, contents, and methods. International Journal of Intelligent Control and Systems, 2004, 9(2):91-96 http://d.old.wanfangdata.com.cn/Periodical/zgtsgxb201203013
[21]	王飞跃.社会计算的意义及其展望.中国计算机学会通讯, 2006, 2(2):8-17 Wang Fei-Yue. The significance of social computing and its prospects. Communications of CCF, 2006, 2(2):8-17
[22]	王飞跃.人工社会、计算实验、平行系统一关于复杂社会经济系统计算研究的讨论.复杂系统与复杂性科学, 2004, 1(4):25-35 doi: 10.3969/j.issn.1672-3813.2004.04.002 Wang Fei-Yue. Artificial societies, computational experiments, and systems:a discussion on computational theory of complex social-economic systems. Complex Systems and Complexity Science, 2004, 1(4):25-35 doi: 10.3969/j.issn.1672-3813.2004.04.002
[23]	Wang F Y. Toward a paradigm shift in social computing:the ACP approach. IEEE Intelligent Systems, 2007, 22(5):65-67 doi: 10.1109/MIS.2007.4338496
[24]	Lazer D, Pentland A, Adamic L, Aral S, Barabasi A-L, Brewer D, et al. Social science:computational social science. Science, 2009, 323(5915):721-723 doi: 10.1126/science.1167742
[25]	Schuler D. Social computing. Communications of the ACM, 1994, 37(1):28-29 doi: 10.1145/175222.175223
[26]	Yang Q, Zhou Z H, Mao W J, Li W, Liu N N. Social learning. IEEE Intelligent Systems, 2010, 25(4):9-11 doi: 10.1109/MIS.2010.103
[27]	Leskovec J, Huttenlocher D, Kleinberg J. Predicting positive and negative links in online social networks. In: Proceedings of the 19th International Conferences on World Wide Web. Raleigh, North Carolina: ACM, 2010. 641-650 http://www.mendeley.com/catalog/predicting-positive-negative-links-online-social-networks/
[28]	Satyanarayanan M. The emergence of edge computing. Computer, 2017, 50(1):30-39 doi: 10.1109/MC.2017.9
[29]	Shi W S, Cao J, Zhang Q, Li Y Z, Xu L Y. Edge computing:vision and challenges. IEEE Internet of Things Journal, 2016, 3(5):637-646 doi: 10.1109/JIOT.2016.2579198
[30]	Shi W S, Dustdar S. The promise of edge computing. Computer, 2016, 49(5):78-81 doi: 10.1109/MC.2016.145
[31]	施巍松, 孙辉, 曹杰, 张权, 刘伟.边缘计算:万物互联时代新型计算模型.计算机研究与发展, 2017, 54(5):907-924 http://d.old.wanfangdata.com.cn/Periodical/zdhbl201709030 Shi Wei-Song, Sun Hui, Cao Jie, Zhang Quan, Liu Wei. Edge computing-an emerging computing model for the internet of everything era. Journal of Computer Research and Development, 2017, 54(5):907-924 http://d.old.wanfangdata.com.cn/Periodical/zdhbl201709030
[32]	Edge Computing Consortium. White Paper of Edge Computing Consortium[Online], available: http://www.ecconsortium.net/Uploads/file/20161208/1481181867831374.pdf, June 15, 2017.