工业智能网——工业互联网的深化与升级

doi:10.11959/j.issn.1000-436x.2018292

摘要/Abstract

摘要：

制造业是我国国民经济的主要支柱。国际社会普遍认同新一轮制造业升级的核心是实现智能制造，为此美国、德国等技术强国提出了“工业互联网”和“工业4.0”的概念，制定了适合本国国情的制造业发展战略。我国提出了“中国制造2025”，从国家发展战略的层面确定了以智能制造为主的发展方向。以我国工业智能制造现状和技术优势为依据，以灵活、平滑、成本可控的方式帮助大中小生产企业实现工业智能化为目的，提出了“工业智能网”的概念，融合我国在信息基础设施建设、认知识别、人工智能等方面的条件和优势，构建工业智能网，以服务方式向大中小企业提供工业智能化解决方案，让更大范围内的生产企业以更低成本的方式实现智能制造。

关键词: 工业智能网, 人工智能, 工业行为识别, 虚拟现实

Abstract:

Manufacturing founds a major pillar of the national economy. The international community generally agrees that the core of the new wave of manufacturing upgrade is to achieve intelligent manufacturing. For this reason, the concepts of “Industrial Internet” and “Industry 4.0” was proposed by united state, Germany and other technologied, and formulated manufacturing development strategies suited to their national conditions. “Made in China 2025” was proposed by China which determines the development direction based on intelligent manufacturing in the level of national development strategy. Based on the status quo and technological advantages of China's industrial intelligent manufacturing, and aiming to help large, medium and small-sized production enterprises achieve industrial intelligence in a flexible, smooth and cost-controllable manner, the concept of “industrial intelligent network” was proposed to integrate the conditions and advantages in aspects of China's information infrastructure construction, cognitive identification, artificial intelligence, etc., to build an industrial intelligent network, to provide industrial intelligent services to large, medium and small-sized enterprises, so that production enterprises within a broader scale can benefit from intelligent manufacturing with lower costs.

Key words: industrial intelligent network, artificial intelligence, industrial behavior recognition, virtual reality

中图分类号:

TN929.1

张平,刘会永,李文璟,周凡钦. 工业智能网——工业互联网的深化与升级[J]. 通信学报, 2018, 39(12): 134-140.

Ping ZHANG,Huiyong LIU,Wenjing LI,Fanqin ZHOU. Industrial intelligent network: deepening and upgrading of industrial Internet[J]. Journal on Communications, 2018, 39(12): 134-140.

图/表 1

参考文献 30

[1]	周济， . 智能制造——“中国制造2025”的主攻方向[J]. 中国机械工程， 2015,26(17): 2273-2284.
	ZHOU J . Intelligent manufacturing——main direction of “made in China 2025”[J]. Chinese Academy Engineering, 2015,26(17): 2273-2284.
[2]	国家制造强国建设战略咨询委员会，中国工程院战略咨询中心 . 智能制造[M]. 北京：电子工业出版社， 2014.
	NMSAC BIDCENTER . Intelligent manufacturing[M]. Beijing: Publishing House of Electronics Industry, 2014.
[3]	巍毅寅，柴旭东 . 工业互联网—技术与实践[M]. 北京：机械工业出版社， 2017.
	WEI Y Y , CHAI X D . Industrial internet[M]. Beijing: China Machine Press, 2014.
[4]	通用电气公司，工业互联网—技术与实践[M]. 北京：机械工业出版社， 2015(08): 70-73.
	GE. Industrial internet: pushing the boundaries of mind and machines[M]. Beijing: China Machine Press, 2015(08): 70-73.
[5]	李金华 . 德国“工业4.0”与“中国制造2025”的比较及启示[J]. 中国地质大学学报(社会科学版), 2015(05): 71-79.
	LI J H . Comparison and enlightenment between “industry 4.0” in Germany and “made in China 2025”[J]. Social Sciences Edition Journal of China University of Geosciences, 2015(05): 71-79.
[6]	杜品圣 . 智能工厂——德国推进工业 4. 0战略的第一步(上)[J]. 自动化博览， 2014(1): 22-25.
	DU P S . Smart factories——the first step in Germany's industrial 4.0 strategy: part 1[J]. Automation Panorama, 2014(1): 22-25.
[7]	杜品圣 . 智能工厂——德国推进工业 4. 0战略的第一步（下）[J]. 自动化博览， 2014(1): 50-55.
	DU P S . Smart factories——the first step in Germany's industrial 4.0 strategy: part 2[J]. Automation Panorama, 2014(1): 50-55.
[8]	王钦，张隺 . “中国制造2025”实施的切入点与架构[J]. 中州学刊， 2015(10): 32-37.
	WANG Q , ZHANG H . The entry point and framework for the implementation of "made in China 2025"[J]. Academic Journal of Zhongzhou, 2015(10): 32-37.
[9]	肖琳琳 . 国内外工业互联网平台对比研究[J]. 信息通信技术， 2018(03): 27-30.
	XIAO L L . A comparative study on the industrial internet of things platform at home and abroad[J]. China Industrial Control Systems Cyber Emergency Response Team, 2018(03): 27-30.
[10]	王力轩 . 基于嵌入式系统工业串口集线器的设计与测试[D]. 北京: 北京邮电大学， 2008.
	WANG L X . Design and testing of industrial hub base on embedded system[D]. Beijing: Beijing University of Posts and Telecommunications, 2008.
[11]	余菲菲，高霞 . 产业互联网下中国制造企业战略转型路径探究[J]. 科学学研究， 2018,36(10): 1770-1778.
	YU F F , GAO X . Research on the strategic transformation path of Chinese manufacturing enterprises under the industrial internet[J]. Studies in Science of Science, 2018,36(10): 1770-1778.
[12]	王飞跃，张军，张俊，等. 工业智联网：基本概念、关键技术与核心应用[J]. 自动化学报， 2018,44(9): 1606-1617.
	WANG F Y , ZHANG J , ZHANG J , et al. Industrial Internet of Minds:Concept, Technology and Application[J]. Automatica Sinica, 2018,44(9): 1606-1617.
[13]	DONG M X , RANJAN R , ZOMAYA A Y , et al. Guest editorial on advances in tools and techniques for enabling cyber- physical-social systems—Part I[J]. IEEE Transactions on Computational Social Systems, 2015,2(2): 38-40.
[14]	徐子睿 . 基于工业互联网的井下车辆视频采集、定位与避障技术研究[D]. 北京: 北京交通大学， 2017.
	XU Z R . Autonomous underground vehicle video capture, localization and obstacle avoidance based on industrial internet[D]. Beijing: Beijing Jiaotong University, 2017.
[15]	张永强，赵永勇，李崇德 . 嵌入式远程视频采集系统的设计与实现[J]. 现代电子技术， 2006(4): 75-77.
	ZHANG Y Q , ZHAO Y Y , LI C D . Design and implementation of embedded remote video capture system[J]. Modern Electronics Technique, 2006(4): 75-77.
[16]	王耀南，陈铁健，贺振东，等. 智能制造装备视觉检测控制方法综述[J]. 控制理论与应用， 2015,32(03): 273-286.
	WANG Y N , CHEN T J , HE Z D , et al. Review on the machine vision measurement and control technology for intelligent manufacturing equipment[J]. Control Theory and Applications, 2015,32(03): 273-286.
[17]	阮涛涛 . 基于视觉的人体行为检测识别研究[D]. 杭州: 浙江工业大学， 2011.
	YUAN T T . Research on Detection and Recognition of Vision-based Human Activity[D]. Hangzhou: Zhejiang University, 2011.
[18]	于成龙 . 基于视频的人体行为识别关键技术研究[D]. 哈尔滨: 哈尔滨工业大学， 2014.
	YU C L . Research on Key Technologies of Video-based Human Behavior Recognition[D]. Harbin: Harbin Institute of Technology, 2014.
[19]	丁利敬 . 虚拟现实技术在工业设计中的模型应用研究[J]. 洛阳师范学院学报， 2018,37(05): 66-68+82.
	DING L J . Research on model application of virtual reality technology in industrial designing[J]. Journal of Luoyang Normal University, 2018,37(05): 66-68+82.
[20]	王慧强，温秀秀，吕宏武，等. 面向移动物联网的可信超网络概念及构架研究[J]. 计算机科学， 2017,44(05): 75-80.
	WANG H Q , WEN X X , LV H W , et al. Concept and architecture of trustworthy super network for mobile internet of things[J]. Computer Science, 2017,44(05): 75-80.
[21]	孙新江 . 无线传感器网络中可靠安全数据传输问题研究[D]. 南京: 南京理工大学， 2016.
	SUN X J . Research on reliable and secure data transmissions in wireless sensor networks[D]. Nanjing: Nanjing University of Science & Technology, 2016.
[22]	王建新，龚皓，陈建二 . 高带宽延时网络中一种协同式拥塞控制协议[J]. 软件学报， 2008(1): 125-135.
	WANG J X , GONG H , CHEN J E . A cooperant congestion control protocol in high bandwidth-delay product networks[J]. School of Information Science and Engineering, 2008(1): 125-135.
[23]	王海勇 . 无线传感器网络数据可靠传输关键技术研究[D]. 南京: 南京邮电大学， 2016.
	WANG H Y . Research on Key Techniques of Data Reliable Transmission in Wireless Sensor Networks[D]. Nanjing: Nanjing University of Post and Telecommunications, 2016.
[24]	马吉军，贾雪琴，寿颜波，等. 马吉军，贾雪琴，寿颜波，等．基于边缘计算的工业数据采集[J]. 信息技术与网络安全， 2018,37(4): 91-93.
	MA J J , JIA X Q , SHOU Y B , et al. Edge computing based industrial data acquisition[J]. Information Technology and Network Security, 2018,37(4): 91-93.
[25]	施巍松，孙辉，曹杰，等. 边缘计算：万物互联时代新型计算模型[J]. 计算机研究与发展， 2017,54(5): 907-924.
	SHI W S , SUN H , CAO J , et al. Edge computing—an emerging computing model for the internet of everything era[J]. Journal of Computer Research and Development, 2017,54(5): 907-924.
[26]	秦秀磊，张文博，魏峻，等. 云计算环境下分布式缓存技术的现状与挑战[J]. 软件学报， 2013,24(1): 50-66.
	QIN X L , ZHANG W B , WEI J , et al. Progress and challenges of distributed caching techniques in cloud computing[J]. Journal of Software, 2013,24(1): 50-66.
[27]	谭建荣，刘达新，刘振宇，等. 从数字制造到智能制造的关键技术途径研究[J]. 中国工程科学， 2017,19(3): 39-44.
	TAN J R , LIU D X , LIU Z Y , et al. Research on key technical approaches for the transition from digital manufacturing to intelligent manufacturing[J]. Engineering Sciences, 2017,19(3): 39-44.
[28]	章红波 . 基于VR的虚拟工业生产环境交互技术研究[J]. 电子技术与软件工程， 2016(13): 193.
	ZHANG H B . Research on interactive technology of virtual industrial production environment based on VR[J]. Electronic technology &Software Engineering, 2016(13): 193.
[29]	李君，邱君降，窦克勤 . 工业互联网平台参考架构、核心功能与应用价值研究[J]. 制造业自动化， 2018,40(6): 103-106+126.
	LI J , QIU J J , DOU K Q . Research on the reference architecture, core function and application value of industrial internet platform[J]. Manufacturing Automation, 2018,40(6): 103-106+126.
[30]	黄德双 . 智能计算研究进展与发展趋势[J]. 中国科学院院刊， 2016(1): 46-52.
	HUANG D S . The development and prospects of intelligent computing technology[J]. Bulletin of Chinese Academy of Sciences, 2016(1): 46-52.