数字孪生生态中的人智协作:价值定位、关键技术与实践进路

Human-Intelligent Information System Collaboration in Digital Twin Environment:Value Proposition,Key Technologies,and Practical Approaches

[目的/意义]本研究深入研究数字孪生中的人智协作,为数字孪生进一步赋能社会数智化发展提供建议,使人机交互和协作进一步深化、向人机共融迈进。[方法/过程]本研究使用系统性文献综述方法,聚焦人与数字孪生系统的协作,从价值定位、关键技术和实践应用等层面梳理了国内外45篇重点文献。[结果/结论]研究表明,人与数字孪生系统在整个生态中具备不同的独特价值、人工智能技术发挥着基座作用;数据孪生、模型孪生和过程孪生等孪生模块中支撑人智协作的关键技术类型不完全一致但相互协同;国内外数字孪生人智协作在工业、医疗保健、智慧城市和公共文化服务领域具有丰富的实践应用;研究最后提出了孪生共智协作方式与整体框架,总结了当前阻碍与发展策略。

[Purpose/Significance]Previous studies or reviews of digital twins have focused either on conceptual analysis and theoretical models,or on the current state of the art and implementation,with only a few studies analyzing human-digital twin interaction and collaboration.This paper explores the collaboration between human and digital twin systems,and offers recommendations on how digital twins can catalyze the progress of societal digitization.It envisions a future where the interaction and collaboration between humans and digital twins is not only deepened but also transcended,moving closer to the harmonious integration of man and machine.The proposed strategies aim to unlock the full potential of digital twins in promoting a more connected and intelligent world.[Method/Process]This paper is a systematic literature review focusing on the partnership between human and digital twin systems,emphasizing the role of artificial intelligence.We analyze the value positioning,key technologies and practical applications through 45 papers from home and abroad.Then,we explore the construction path of digital twin technologyenabled information resource management.[Results/Conclusions]The study shows that human and digital twin systems have different unique values in the whole ecology,the irreplaceable wisdom of the human brain is reflected in innovation and decision-making,and the core function of the digital twin system is to support and enhance the communication between man and machine.AI technology plays the role of the pedestal in the interaction.There are common enabling technologies for human intelligence collaboration in the digital twin ecosystem,and the types of key technologies supporting human intelligence collaboration in different twin modules are not identical but synergistic with each other.The supporting technologies in digital twin environment mainly involve data acquisition and data transmission,model twin mainly lies in data fusion and management,image recognition and processing,and process twin mainly involves human-computer interfaces,immersive perception and other key technologies.In terms of application areas,humanintelligent information system cooperation at home and abroad has rich applications in industry,healthcare,smart cities and public cultural services,especially in public cultural services,where cooperation has accelerated the intelligentization process of public cultural service institutions.Finally,the study categorizes the human-intelligent information system collaboration methods in the digital twin ecology into three types:pre-determined,collaborative,and autonomous,proposes a holistic framework for the twin cointelligence system of intelligent connections,and summarizes the current obstacles and development strategies from a realistic perspective.There are some limitations due to the limited samples,which can be increased in the future to deepen the mining and analysis to optimize the form of human-intelligent information system collaboration in the digital twin ecosystem.