虚实系统互驱的混合增强智能开放创新平台的架构与方案

doi:10.11959/j.issn.2096-6652.201942

Abstract

Abstract:

The overall goal and problems of the construction of the hybrid-augmented intelligent open innovation platform were first put forward,and a virtual and real systems driven platform architecture scheme was proposed.Then the basic form of the platform was described,and the mechanism and function of modules at all levels in the platform were elaborated,the key technologies were also involved,including human-computer interaction technology,data processing technology and digital virtual industry technology.Finally,the guarantee and incentive mechanism of open innovation was designed,and the application of block chain technology in data security of open innovation platform was discussed.

Key words: hybrid-augmented intelligence, open innovation platform, virtual and real systems, human-computer interaction, digital virtual industry technology

CLC Number:

TP18

Jun ZHANG, Lingxi LI, Yilun LIN, et al. The architecture and scheme of the hybrid-augmented intelligence open innovation platform based on the virtual and real systems[J]. Chinese Journal of Intelligent Science and Technology, 2019, 1(4): 379-391.

Figures/Tables 8

References 34

[1]	张鑫, 王明辉 . 中国人工智能发展态势及其促进策略[J]. 改革, 2019(9): 31-44.
	ZHANG X , WANG M H . Development status and promotion strategy of artificial intelligence in China[J]. Reform, 2019(9): 31-44.
[2]	中共中央政治局就人工智能发展现状和趋势举行第九次集体学习[Z]. 新华社, 2018.
	The ninth collective study on the status and trends of artificial intelligence holded by the Political Bureau of the CPC Central Committee[Z]. Xinhua News Agency, 2018.
[3]	PAN Y . Heading toward artificial intelligence 2.0[J]. Engineering, 2016,2(4): 409-413.
[4]	吴飞, 阳春华, 兰旭光 ,等. 人工智能的回顾与展望[J]. 中国科学基金, 2018,32(3): 243-250.
	WU F , YANG C H , LAN X G ,et al. Artificial intelligence:review and future opportunities[J]. Bulletin of National Natural Science Foundation of China, 2018,32(3): 243-250.
[5]	郑南宁 . 人工智能新时代[J]. 智能科学与技术, 2019,1(1): 1-3.
	ZHENG N N . The new era of artificial intelligence[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(1): 1-3.
[6]	王飞跃 . 打造新一代人工智能开放创新平台[J]. 时事报告, 2019(11): 42-43.
	WANG F Y . Creating a new generation of artificial intelligence open innovation platform[J]. Current Affairs Report, 2019(11): 42-43.
[7]	郑南宁 . “混合增强智能”是人工智能的发展趋向[N]. 新华日报,2017年11月29日.
	ZHENG N N . “Hybrid-Augmented Intelligence” is the Development Trend of Artificial Intelligence[N].,2017-11-29. Xinhua News Agency,2017-11-29.
[8]	ZHENG N N , LIU Z Y , REN P J ,et al. Hybrid-augmented intelligence:collaboration and cognition[J]. Frontiers of Information Technology＆ Electronic Engineering, 2018,8(2): 153-179.
[9]	BANANI M E , CORSO J J . Adviser networks:learning what question to ask for human-in-the-loop viewpoint estimation[J]..01666. arXiv preprint,2018,arXiv:1802.01666.
[10]	RAJALINGAM B , PRIYA R . Combining multi-modality medical image fusion based on hybrid intelligence for disease identification[J]. International Journal of Advanced Research Trends in Engineering and Technology, 2018,5(12): 862-870.
[11]	SINHA K , MANJUNATH G , GUPTA B ,et al. Designing a human-machine hybrid computing system for unstructured data analytics[J]. arXiv preprint,2016,arXiv:1606.04929.
[12]	HAGER G , WELLEIN G . Introduction to high performance computing for scientists and engineers[M]. Florida: CRC PressPress, 2011.
[13]	MACMULLEN W J . Annotation as process,thing,and knowledge:multi-domain studies of structured data annotation[J]. SILS Technical Report, 2005,2(1): 1-6.
[14]	陈天莹, 陈剑锋 . 大数据环境下的智能数据脱敏系统[J]. 通信技术, 2016,49(7): 915-922.
	CHEN T Y , CHEN J F . Intelligent data masking system for big data productive environment[J]. Communications Technology, 2016,49(7): 915-922.
[15]	江爱朋, 方学毅, 丁强 ,等. 大规模过程系统优化标准算例库的建立[J]. 化工自动化及仪表, 2008,35(1): 65-68.
	JIANG A P , FANG X Y , DING Q ,et al. Establishment of normal test problem sets library for large scale optimization of process systems[J]. Control and Instruments in Chemical Industry, 2008,35(1): 65-68.
[16]	郝琪, 罗卫平, 彭炎午 . 先进制造中人机协同的重要手段——自适应人机接口[J]. 中国机械工程, 1999(4): 69-71,6.
	HAO Q , LUO W P , PENG Y W . Designing human-centered technology in machinery manufacturing:adaptive human-computer interface[J]. China Mechanical Engineering, 1999(4): 69-71,6.
[17]	VILLANI V , SABATTINI L , CZERNIAKI J N ,et al. Towards modern inclusive factories:a methodology for the development of smart adaptive human-machine interfaces[C]// The 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),December 21,2017,Limassol,Cyprus. Piscataway:IEEE Press, 2017: 1-7.
[18]	XUE C Q , QIU C , ZHANG Y . Design and research of human-computer interaction interface in autopilot system of aircrafts[C]// IEEE 10th International Conference on Computer-Aided Industrial Design ＆ Conceptual Design,November 26-29,2009,Wenzhou,China. Piscataway:IEEE Press, 2009： 1498-1501.
[19]	MAGOULèS F , ZOU Q . GPU accelerated contactless human machine interface for driving car[C]// The 16th International Symposium on Distributed Computing and Applications to Business,Engineering and Science (DCABES),October 13-16,2017,Anyang,China. Piscataway:IEEE Press, 2017: 7-10.
[20]	MAGOULèS F , ZOU Q . A novel contactless human machine interface based on machine learning[C]// 2017 16th International Symposium on Distributed Computing and Applications to Business,Engineering and Science (DCABES),October 13-16,2017,Anyang,China. Piscataway:IEEE Press, 2017: 137-140.
[21]	JAIMES A , SEBE N . Multimodal human-computer interaction:a survey[J]. Computer Vision and Image Understanding, 2007,108(1-2): 116-134.
[22]	刘丽轻, 丁巧林, 张铁峰 ,等. 数据预处理方法对模糊 C 均值聚类的影响[J]. 电力科学与工程, 2011,27(8): 24-27,46.
	LIU L Q , DING Q L , ZHANG T F ,et al. Data pretreatment method of fuzzy c-means clustering effects[J]. Electric Power Science and Engineering, 2011,27(8): 24-27,46.
[23]	叶水勇 . 数据脱敏技术的探究与实现[J]. 电力信息与通信技术, 2019,17(4): 23-27.
	YE S Y . Research and implementation of data desensitization technology[J]. Electric Power Information and Communication Technology, 2019,17(4): 23-27.
[24]	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]. Acta Automatica Sinica, 2018,44(9): 1606-1617.
[25]	贾开 . 发展区块链应重视开源治理经验[N].,2019-11-07. 21 世纪经济报道,2019-11-07.
	JIA K . Developing blockchain should pay attention to open source governance experience[N].,2019-11-07. 21st Century Business Herald,2019-11-07.
[26]	李振 . 开源开放共享促进人工智能产业落地[J]. 网络安全和信息化, 2019(9): 5-6.
	LI Z . Open source and open sharing promotes the landing of artificial intelligence industry[J]. Security and Informatization, 2019(9): 5-6.
[27]	国家新一代人工智能开放创新平台建设工作指引[J]. 网信军民融合, 2019(8): 33-34.
	Guidelines for the construction of a new generation of artificial intelligence open innovation platform in China[J]. Civil-Military Integration on Cyberspace, 2019(8): 33-34.
[28]	张汉华 . 开源软件的内在机理及激励机制研究[D]. 广州:暨南大学, 2015.
	ZHANG H H . A study of internal mechanism and incentive system in open source software[D]. Guangzhou:Jinan University, 2015.
[29]	王宇, 魏守华 . 商业参与与开源创新的开放性之关系研究[J]. 管理学报, 2013,10(12): 1799-1804.
	WANG Y , WEI S H . Research on the relationship between commercial participation and openness of open source innovation[J]. Chinese Journal of Management, 2013,10(12): 1799-1804.
[30]	李美燕, 曾宣玮 . 开源软件著作权保护的焦点问题与应对策略[J]. 互联网天地, 2018(11): 40-47.
	LI M Y , ZENG X W . Focus issues and countermeasures of open source software copyright protection[J]. China Internet, 2018(11): 40-47.
[31]	袁勇, 韩璇, 王飞跃 . 社会计算:开源与保密对立统一的智能技术[J]. 保密科学技术, 2019,9(2): 58-62.
	YUAN Y , HAN X , WANG F Y . Social computing:intelligent technology based on the unity of opposites of open source and privacy[J]. Secrecy Science and Technology, 2019,9(2): 58-62.
[32]	陈思远, 白昱阳, 张俊 ,等. 基于区块链和通证经济的跨国跨洲电力市场机制设计[J]. 智能科学与技术学报, 2019,1(1): 96-105.
	CHEN S Y , BAI Y Y , ZHANG J ,et al. Design of transnational and intercontinental electricity market with blockchain and token economics[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(1): 96-105.
[33]	崔宝江, 宋绪言 . 区块链在软件供应链管理中的应用探索[J]. 保密科学技术, 2019,9(5): 41-44.
	CUI B J , SONG X Y . Application exploitation of blockchain in software supply chain management[J]. Secrecy Science and Technology, 2019,9(5): 41-44.
[34]	丁文文, 王帅, 李娟娟 ,等. 去中心化自治组织：发展现状、分析框架与未来趋势[J]. 智能科学与技术学报, 2019,1(2): 202-213.
	DING W W , WANG S , LI J J ,et al. Decentralized autonomous organizations:the state of the art,analysis framework and future trends[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(2): 202-213.

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对比项	特点	开源软件	非开源软件
软件获得和发布	软件的获得成本是否包含源代码	无需费用包含	需要购买不包含
	是否可以自行修改和再发布	可以	不可以
软件开发者	开发者是否有报酬	无	有
	开发者组织	互联网络	企业组织
软件服务	软件技术支持服务	无	有
	软件版本路线图	无	有
体验	用户体验	差	好
	开发者体验	好	差

The architecture and scheme of the hybrid-augmented intelligence open innovation platform based on the virtual and real systems

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