工业互联网感知通信控制协同融合技术研究综述

doi:10.11959/j.issn.1000-436x.2021177

通信学报 ›› 2021, Vol. 42 ›› Issue (10): 211-221.doi: 10.11959/j.issn.1000-436x.2021177

工业互联网感知通信控制协同融合技术研究综述

田辉¹, 贺硕², 林尚静³, 范绍帅¹, 聂高峰¹, 蒋秀蓉¹

¹ 北京邮电大学网络与交换技术国家重点实验室，北京100876
² 郑州大学信息工程学院，河南郑州450001
³ 北京邮电大学安全生产智能监控北京市重点实验室，北京100876

修回日期:2021-08-23 出版日期:2021-10-25 发布日期:2021-10-01
作者简介:田辉（1963− ），女，河南郑州人，博士，北京邮电大学教授、博士生导师，主要研究方向为无线资源管理、智能边缘计算、移动社交网络
贺硕（1992− ），女，河南南阳人，博士，郑州大学讲师，主要研究方向为边缘智能、无线资源管理、强化学习等
林尚静（1986− ），女，湖北武汉人，博士，北京邮电大学讲师、硕士生导师，主要研究方向为边云协同智能和 AI 驱动 5G网络优化
范绍帅（1987− ），男，山东烟台人，博士，北京邮电大学讲师、硕士生导师，主要研究方向为5G及B5G组网关键技术、智能边缘网络技术、室内定位技术等
聂高峰（1988− ），男，河南周口人，博士，北京邮电大学讲师、硕士生导师，主要研究方向为空天地一体化网络、移动自组织网络、移动通信传输组网技术等
蒋秀蓉（1993− ），女，甘肃天水人，北京邮电大学博士生，主要研究方向为计算机视觉、机器学习等
基金资助:
国家自然科学基金资助项目(62071068);网络与交换技术国家重点实验室（北京邮电大学）开放课题资助项目(SKLNST-2021-1-11)

Survey on cooperative fusion technologies with perception, communication and control coupled in industrial Internet

Hui TIAN¹, Shuo HE², Shangjing LIN³, Shaoshuai FAN¹, Gaofeng NIE¹, Xiurong JIANG¹

¹ State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876
² School of Information Engineering, Zhengzhou University, Zhengzhou 450001
³ Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing 100876

Revised:2021-08-23 Online:2021-10-25 Published:2021-10-01
Supported by:
The National Natural Science Foundation of China(62071068);Open Foundation of State key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications)(SKLNST-2021-1-11)

摘要/Abstract

摘要：

感知通信控制的协同融合是工业互联网发展的必然趋势，梳理工业互联网感知通信控制协同融合技术的研究现状与挑战对推动工业互联网发展具有重要意义。首先，介绍了工业互联网中感知-通信-控制三要素间的复杂耦合关系。然后，综述了国内外关于工业互联网感知通信控制协同融合技术的研究现状和面临的问题。最后，围绕工业互联网中感知通信控制协同融合问题对未来的研究方向进行了总结和展望。

关键词: 工业互联网, 信息流, 感知通信控制解耦, 协同融合

Abstract:

The cooperative fusion with perception, communication and control is the inevitable trend of industrial Internet.Sorting out the research development and challenges of the cooperative fusion technologies with perception, communication and control in industrial Internet is of great significance to promote the development of industrial Internet.Firstly, the complicated coupling relationship among perception, communication and control in industrial Internet was introduced.Then, the related works and open problems of the cooperative fusion technologies with perception, communication and control were summarized.Finally, the future research directions were summarized and prospected for the problems of the cooperative fusion technologies with perception, communication and control in industrial Internet.

Key words: industrial Internet, information flow, decoupling of perception, communication and control, cooperative fusion

中图分类号:

TN92

田辉, 贺硕, 林尚静, 范绍帅, 聂高峰, 蒋秀蓉. 工业互联网感知通信控制协同融合技术研究综述[J]. 通信学报, 2021, 42(10): 211-221.

Hui TIAN, Shuo HE, Shangjing LIN, Shaoshuai FAN, Gaofeng NIE, Xiurong JIANG. Survey on cooperative fusion technologies with perception, communication and control coupled in industrial Internet[J]. Journal on Communications, 2021, 42(10): 211-221.

图/表 3

参考文献 71

[1]	关新平, 陈彩莲, 杨博 ,等. 工业网络系统的感知-传输-控制一体化:挑战和进展[J]. 自动化学报, 2019,45(1): 25-36.
	GUAN X P , CHEN C L , YANG B ,et al. Towards the integration of sensing,transmission and control for industrial network systems:challenges and recent developments[J]. Acta Automatica Sinica, 2019,45(1): 25-36.
[2]	DEEP S K , SOOD S K . 5G ready optical fog-assisted cyber-physical system for IoT applications[J]. IET Cyber-Physical Systems:Theory＆ Applications, 2020,5(2): 137-144.
[3]	IOANNOU I , VASSILIOU V , CHRISTOPHOROU C ,et al. Distributed artificial intelligence solution for D2D communication in 5G networks[J]. IEEE Systems Journal, 2020,14(3): 4232-4241.
[4]	TAO F , CHENG J F , QI Q L . IIHub:an industrial Internet-of-things hub toward smart manufacturing based on cyber-physical system[J]. IEEE Transactions on Industrial Informatics, 2018,14(5): 2271-2280.
[5]	SENGAN S , V S , NAIR S K ,et al. Enhancing cyber-physical systems with hybrid smart city cyber security architecture for secure public data-smart network[J]. Future Generation Computer Systems, 2020,112: 724-737.
[6]	王智明 . 移动工业边缘云技术研究[J]. 通信世界, 2018(23): 43-44.
	WANG Z M . Research on mobile industry edge cloud technology[J]. Communications World, 2018(23): 43-44.
[7]	TALEB T , SAMDANIS K , MADA B ,et al. On multi-access edge computing:a survey of the emerging 5G network edge cloud architecture and orchestration[J]. IEEE Communications Surveys ＆ Tutorials, 2017,19(3): 1657-1681.
[8]	KAUR K , GARG S , AUJLA G S ,et al. Edge computing in the industrial Internet of things environment:software-defined-networks-based edge-cloud interplay[J]. IEEE Communications Magazine, 2018,56(2): 44-51.
[9]	XU F M , YE H Y , YANG F ,et al. Software defined mission-critical wireless sensor network:architecture and edge offloading strategy[J]. IEEE Access, 2019,7: 10383-10391.
[10]	XU F M , YE H Y , CUI S H ,et al. Software defined industrial network:architecture and edge offloading strategy[C]// Communications and Networking. Cham:Springer International Publishing, 2019: 46-56.
[11]	LIU J , MAO Y Y , ZHANG J ,et al. Delay-optimal computation task scheduling for mobile-edge computing systems[C]// Proceedings of 2016 IEEE International Symposium on Information Theory (ISIT). Piscataway:IEEE Press, 2016: 1451-1455.
[12]	KO H , LEE J , PACK S . Spatial and temporal computation offloading decision algorithm in edge cloud-enabled heterogeneous networks[J]. IEEE Access, 2018,6: 18920-18932.
[13]	QIAN L P , SHI B H , WU Y ,et al. NOMA-enabled mobile edge computing for Internet of things via joint communication and computation resource allocations[J]. IEEE Internet of Things Journal, 2020,7(1): 718-733.
[14]	REN C S , LYU X C , NI W ,et al. Distributed online optimization of fog computing for Internet of things under finite device buffers[J]. IEEE Internet of Things Journal, 2020,7(6): 5434-5448.
[15]	CHENY H , ZHAO D M , CHENY Q ,et al. Joint computation offloading and radio resource allocations in wireless cellular net works[C]// Proceedings of the 10th International Conference on Wireless Communications and Signal Processing (WCSP). Piscataway:IEEE Press, 2018: 1-6.
[16]	ZHAO P T , TIAN H , QIN C ,et al. Energy-saving offloading by jointly allocating radio and computational resources for mobile edge computing[J]. IEEE Access, 2017,5: 11255-11268.
[17]	LYU X C , NI W , TIAN H ,et al. Optimal schedule of mobile edge computing for Internet of things using partial information[J]. IEEE Journal on Selected Areas in Communications, 2017,35(11): 2606-2615.
[18]	LYU X C , TIAN H , NI W ,et al. Adaptive centralized clustering framework for software-defined ultra-dense wireless networks[J]. IEEE Transactions on Vehicular Technology, 2017,66(9): 8553-8557.
[19]	CHEN S G , ZHENG Y M , LU W F ,et al. Energy-optimal dynamic computation offloading for industrial IoT in fog computing[J]. IEEE Transactions on Green Communications and Networking, 2020,4(2): 566-576.
[20]	WU H , TIAN H , FAN S S ,et al. Data age aware scheduling for wireless powered mobile-edge computing in industrial Internet of things[J]. IEEE Transactions on Industrial Informatics, 2021,17(1): 398-408.
[21]	LYU X C , TIAN H , JIANG L ,et al. Selective offloading in mobile edge computing for the green Internet of things[J]. IEEE Network, 2018,32(1): 54-60.
[22]	LYU X C , NI W , TIAN H ,et al. Distributed online optimization of fog computing for selfish devices with out-of-date information[J]. IEEE Transactions on Wireless Communications, 2018,17(11): 7704-7717.
[23]	LYU X C , REN C S , NI W ,et al. Multi-timescale decentralized online orchestration of software-defined networks[J]. IEEE Journal on Selected Areas in Communications, 2018,36(12): 2716-2730.
[24]	HE S , TIAN H , LYU X C . Edge popularity prediction based on social-driven propagation dynamics[J]. IEEE Communications Letters, 2017,21(5): 1027-1030.
[25]	HE S , TIAN H , LYU X C ,et al. Distributed cache placement and user association in multicast-aided heterogeneous networks[J]. IEEE Access, 2017,5: 25365-25376.
[26]	HE S , LYU X C , NI W ,et al. Virtual service placement for edge computing under finite memory and bandwidth[J]. IEEE Transactions on Communications, 2020,68(12): 7702-7718.
[27]	LYU X C , TIAN H , NI W ,et al. Energy-efficient admission of delay-sensitive tasks for mobile edge computing[J]. IEEE Transactions on Communications, 2018,66(6): 2603-2616.
[28]	LYU X C , REN C S , NI W ,et al. Distributed optimization of collaborative regions in large-scale inhomogeneous fog computing[J]. IEEE Journal on Selected Areas in Communications, 2018,36(3): 574-586.
[29]	PU L J , CHEN X , XU J D ,et al. D2D fogging:an energy-efficient and incentive-aware task offloading framework via network-assisted D2D collaboration[J]. IEEE Journal on Selected Areas in Communications, 2016,34(12): 3887-3901.
[30]	YAN H R , ZHANG Y , PANG Z B ,et al. Superframe planning and access latency of slotted MAC for industrial WSN in IoT environment[J]. IEEE Transactions on Industrial Informatics, 2014,10(2): 1242-1251.
[31]	YOUSEFI H , MALEKIMAJD M , ASHOURI M ,et al. Fast aggregation scheduling in wireless sensor networks[J]. IEEE Transactions on Wireless Communications, 2015,14(6): 3402-3414.
[32]	ZHANG H B , SOLDATI P , JOHANSSON M . Performance bounds and latency-optimal scheduling for convergecast in WirelessHART networks[J]. IEEE Transactions on Wireless Communications, 2013,12(6): 2688-2696.
[33]	DURMUS Y , OZGOVDE A , ERSOY C . Distributed and online fair resource management in video surveillance sensor networks[J]. IEEE Transactions on Mobile Computing, 2012,11(5): 835-848.
[34]	BROWN J , KHAN J Y . A predictive resource allocation algorithm in the LTE uplink for event based M2M applications[J]. IEEE Transactions on Mobile Computing, 2015,14(12): 2433-2446.
[35]	ZHANG C , YANG C , PANG X ,et al. Efficient sparse code multiple access decoder based on deterministic message passing algorithm[J]. IEEE Transactions on Vehicular Technology, 2020,69(4): 3562-3574.
[36]	HAYAT O , NGAH R , HASHIM S Z M . Multi-user shared access (MUSA) procedure for device discovery in D2D communication[J]. Telecommunication Systems, 2021,76(2): 291-297.
[37]	REN H , PAN C H , DENG Y S ,et al. Joint power and blocklength optimization for uRLLC in a factory automation scenario[J]. IEEE Transactions on Wireless Communications, 2019,19(3): 1786-1801.
[38]	ZENG J , LYU T J , LIN Z P ,et al. Achieving ultrareliable and low-latency communications in IoT by FD-SCMA[J]. IEEE Internet of Things Journal, 2020,7(1): 363-378.
[39]	ZHAO L L , CHI X F , QIAN L ,et al. Analysis on latency-bounded reliability for adaptive grant-free access with multipackets reception (MPR) in uRLLCs[J]. IEEE Communications Letters, 2019,23(5): 892-895.
[40]	BERARDINELLI G , HUDA M N , ABREU R ,et al. Reliability analysis of uplink grant-free transmission over shared resources[J]. IEEE Access, 2018,6: 23602-23611.
[41]	VU T K , LIU C F , BENNIS M ,et al. Ultra-reliable and low latency communication in mmWave-enabled massive MIMO networks[J]. IEEE Communications Letters, 2017,21(9): 2041-2044.
[42]	ZENG J , LYU T J , LIU R P ,et al. Linear minimum error probability detection for massive MU-MIMO with imperfect CSI in uRLLC[J]. IEEE Transactions on Vehicular Technology, 2019,68(11): 11384-11388.
[43]	SHE C Y , CHEN Z C , YANG C Y ,et al. Improving network availability of ultra-reliable and low-latency communications with multi-connectivity[J]. IEEE Transactions on Communications, 2018,66(11): 5482-5496.
[44]	WOLF A , SCHULZ P , D?RPINGHAUS M , ,et al. How reliable and capable is multi-connectivity?[J]. IEEE Transactions on Communications, 2019,67(2): 1506-1520.
[45]	JI H , PARK S , YEO J ,et al. Ultra-reliable and low-latency communications in 5G downlink:physical layer aspects[J]. IEEE Wireless Communications, 2018,25(3): 124-130.
[46]	张轶, 夏亮, 徐晓东 ,等. 3GPP中uRLLC标准研究进展[J]. 移动通信, 2020,44(2): 2-7.
	ZHANG Y , XIA L , XU X D ,et al. The uRLLC standardization progresses in 3GPP[J]. Mobile Communications, 2020,44(2): 2-7.
[47]	PIPPARD A B , DICKE R H . Response and stability,an introduction to the physical theory[J]. American Journal of Physics, 1986,54(11): 1052.
[48]	Analog design essentials[J]. Choice Reviews Online, 2006,44(04): 44-2131.
[49]	EVANS G W . Bringing root locus to the classroom[J]. IEEE Control Systems Magazine, 2004,24(6): 74-81.
[50]	柴天佑 . 生产制造全流程优化控制对控制与优化理论方法的挑战[J]. 自动化学报, 2009,35(6): 641-649.
	CHAI T Y . Challenges of optimal control for plant-wide production processes in terms of control and optimization theories[J]. Acta Automatica Sinica, 2009,35(6): 641-649.
[51]	KALMAN R E . A new approach to linear filtering and prediction problems[J]. Journal of Basic Engineering, 1960,82(1): 35-45.
[52]	BELLMAN R . Dynamic programming[M]. Princeton: Princeton University Press, 1957.
[53]	SWAROOP D , HEDRICK J K . String stability of interconnected systems[J]. IEEE Transactions on Automatic Control, 1996,41(3): 349-357.
[54]	?STR?M K J , ANTON J J , ?RZéN K E , . Expert control[J]. Automatica, 1986,22(3): 277-286.
[55]	PSALTIS D , SIDERIS A , YAMAMURA A A . A multilayered neural network controller[J]. IEEE Control Systems Magazine, 1988,8(2): 17-21.
[56]	O’DWYER A . Handbook of PI and PID controller tuning rules,2nd Edition[R]. 2006.
[57]	韩志刚, 汪国强 . 无模型控制律串级形式及其应用[J]. 自动化学报, 2006,32(3): 345-352.
	HAN Z G , WANG G Q . Cascade scheme of model free control law and its application[J]. Acta Automatica Sinica, 2006,32(3): 345-352.
[58]	SUGIE T , ONO T . An iterative learning control law for dynamical systems[J]. Automatica, 1991,27(4): 729-732.
[59]	WANG L X . Stable adaptive fuzzy control of nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 1993,1(2): 146-155.
[60]	吴宏鑫 . 智能特征模型和智能控制[J]. 自动化学报, 2002,28(S1): 30-37.
	WU H X . Intelligent characteristic model and intelligent control[J]. Acta Automatica Sinica, 2002,28(S1): 30-37.
[61]	FU Y , CHAI T Y . Nonlinear multivariable adaptive control using multiple models and neural networks[J]. Automatica, 2007,43(6): 1101-1110.
[62]	MASSIONI P , VERHAEGEN M . Distributed control for identical dynamically coupled systems:a decomposition approach[J]. IEEE Transactions on Automatic Control, 2009,54(1): 124-135.
[63]	ZHAO G D , IMRAN M A , PANG Z B ,et al. Toward real-time control in future wireless networks:communication-control co-design[J]. IEEE Communications Magazine, 2019,57(2): 138-144.
[64]	PARK P , COLERI E S , FISCHIONE C ,et al. Wireless network design for control systems:a survey[J]. IEEE Communications Surveys ＆Tutorials, 2018,20(2): 978-1013.
[65]	关新平, 吕玲, 杨博 . 智能工厂的感知、通信与控制[J]. 中兴通讯技术, 2017,23(5): 61-66.
	GUAN X P , LYU L , YANG B . Co-design of sensing,communication and control for the smart factory[J]. ZTE Technology Journal, 2017,23(5): 61-66.
[66]	LYU L , CHEN C L , HUA C Q ,et al. Co-design of stabilisation and transmission scheduling for wireless control systems[J]. IET Control Theory ＆ Applications, 2017,11(11): 1767-1778.
[67]	LYU L , CHEN C L , ZHU S Y ,et al. 5G enabled codesign of energy-efficient transmission and estimation for industrial IoT systems[J]. IEEE Transactions on Industrial Informatics, 2018,14(6): 2690-2704.
[68]	ZENG T C , SEMIARI O , SAAD W ,et al. Joint communication and control for wireless autonomous vehicular platoon systems[J]. IEEE Transactions on Communications, 2019,67(11): 7907-7922.
[69]	TONG X , ZHAO G D , IMRAN M A ,et al. Minimizing wireless resource consumption for packetized predictive control in real-time cyber physical systems[C]// Proceedings of 2018 IEEE International Conference on Communications Workshops (ICC Workshops). Piscataway:IEEE Press, 2018: 1-6.
[70]	蔡岳平, 李栋, 许驰 ,等. 面向工业互联网的 5G-U 与时间敏感网络融合架构与技术[J]. 通信学报, 2021-08-11.
	CAI Y P , LI D , XU C ,et al. Integrating 5G-U with time-sensitive networking for industrial Internet:architectures and technologies[J]. Journal on Communications, 2021-08-11.
[71]	陈力, 卫国 . 未来无线网络下的空中计算技术[J]. 中兴通讯技术, 2019,25(1): 29-34.
	CHEN L , WEI G . Over-the-air computation for future networks[J]. ZTE Technology Journal, 2019,25(1): 29-34.

工业互联网感知通信控制协同融合技术研究综述

Survey on cooperative fusion technologies with perception, communication and control coupled in industrial Internet

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 3

参考文献 71

相关文章 9

Metrics

推荐阅读 0

[1]	李竟博, 马礼, 李阳, 傅颖勋, 马东超. 感传算协同工业互联网优化设计[J]. 通信学报, 2023, 44(6): 12-22.
[2]	项英倬,徐正国,游凌. 基于节点通信行为时序的指控信息流挖掘算法[J]. 通信学报, 2019, 40(9): 51-60.
[3]	黄韬,汪硕,黄玉栋,郑尧,刘江,刘韵洁. 确定性网络研究综述[J]. 通信学报, 2019, 40(6): 160-176.
[4]	任语铮,谢人超,曾诗钦,赵浩然,喻嘉义,霍如,黄韬,刘韵洁. 工业互联网标识解析体系综述[J]. 通信学报, 2019, 40(11): 138-155.
[5]	宋彩霞,谭国真,丁男,步俊凌,张福新,刘明剑. 面向应用的车载自组织网络跨层多信道MAC协议[J]. 通信学报, 2016, 37(5): 95-105.
[6]	习宁,马建峰,孙聪,卢笛,张涛. 基于模型检测的服务链信息流安全可组合验证方法[J]. 通信学报, 2014, 35(11): 23-31.
[7]	习宁，马建峰，孙聪，卢笛，张涛. 基于模型检测的服务链信息流安全可组合验证方法[J]. 通信学报, 2014, 35(11): 3-22.
[8]	赵娟,郭平,邓宏钟,吴俊,谭跃进,李建平. 基于信息流动力学的通信网络性能可靠性建模与分析[J]. 通信学报, 2011, 32(8): 159-164.
[9]	晏立,鞠时光,王昌达. 安全信息流的实时监控机制[J]. 通信学报, 2008, 29(10): 51-57.