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Industrial Internet-enabled Resilient Manufacturing Strategy in the Wake of COVID-19 Pandemic: A Conceptual Framework and Implementations in China

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Chinese Journal of Mechanical Engineering 2021年第3期34卷 169-174页

作者： Tao Peng Qiqi He Zheng Zhang baicun wang Xun Xu State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310027China Institute of Industrial Engineering School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China Department of Mechanical Engineering School of EngineeringThe University of AucklandAuckland 1010New Zealand

COVID-19 pandemic has accelerated the re-shaping of globalized manufacturing *** a high level of resilience is thereby a recognized,essential ability of future manufacturing systems with the advances in smart manufacturing and Industry *** this work,a conceptual framework for resilient manufacturing strategy enabled by Industrial Internet is *** is elaborated as a four-phase,closed-loop process that centered on proactive industry *** enabling technologies for the proposed framework are outlined in data acquisition and management,big data analysis,intelligent services,and *** Internet-enabled implementations in China in response to COVID-19 have then been reviewed and discussed from 3Rs’perspective,*** capacity Recovery,supply chain Resilience and emergency *** is suggested that an industry-specific and comprehensive selection coordinated with the guiding policy and supporting regulations should be performed at the national,at least regional level.

关键词： Resilient manufacturing Industrial Internet COVID-19 pandemic Manufacturing strategy

Human Cyber Physical Systems(HCPSs)in the Context of New-Generation Intelligent Manufacturing

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Engineering 2019年第4期5卷 624-636页

作者： Zhou Ji Zhou Yanhong wang baicun Zang Jiyuan Chinese Academy of Engineering Beijing 100088China Huazhong University of Science and Technology Wuhan 430074China Tsinghua University Beijing 100084China University of Michigan Ann ArborMI 48109USA

An intelligent manufacturing system is a composite intelligent system comprising humans,cyber systems,and physical systems with the aim of achieving specific manufacturing goals at an optimized *** kind of intelligent system is called a human-cyber-physical system(HCPS).In terms of technology,HCPSs can both reveal technological principles and form the technological architecture for intelligent *** can be concluded that the essence of intelligent manufacturing is to design,construct,and apply HCPSs in various cases and at different *** advances in information technology,intelligent manufacturing has passed through the stages of digital manufacturing and digital-networked manufacturing,and is evolving toward new-generation intelligent manufacturing(NGIM).NGIM is characterized by the in-depth integration of new-generation artificial intelligence(AI)technology(i.e.,enabling technology)with advanced manufacturing technology(i.e.,root technology);it is the core driving force of the new industrial *** this study,the evolutionary footprint of intelligent manufacturing is reviewed from the perspective of HCPSs,and the implications,characteristics,technical frame,and key technologies of HCPSs for NGIM are then discussed in ***,an outlook of the major challenges of HCPSs for NGIM is proposed.

关键词： New-generation intelligent manufacturing Human-cyber-physical system Human-physical system Cyber-physical system Knowledge engineering Enabling technology Manufacturing domain technology New-generation artificial intelligence

Human Digital Twin(HDT)Driven Human-Cyber-Physical Systems:Key Technologies and Applications

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Chinese Journal of Mechanical Engineering 2022年第1期35卷 1-6页

作者： baicun wang Huiying Zhou Geng Yang Xingyu Li Huayong Yang State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China Department of Mechanical Engineering University of MichiganAnn ArborMI 48109USA

1 Introduction Traditional industrial systems,where physical systems,i.e.,robots and machines,replaced manual labor mostly,are often known as human-physical system(HPS)[1].Cyber system,a major outcome of the digitalization revolution,is increasingly adopted in HPS and continuously evolving with the development of advanced manufacturing technologies,leading to the human-cyber-physical system(HCPS)[2].

关键词： system mostly Key

Intelligent Manufacturing Systems in COVID‑19 Pandemic and Beyond:Framework and Impact Assessment

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Chinese Journal of Mechanical Engineering 2020年第4期33卷 1-5页

作者： Xingyu Li baicun wang Chao Liu Theodor Freiheit Bogdan I.Epureanu Department of Mechanical Engineering University of MichiganAnn ArborMI 48109USA School of Engineering Cardiff UniversityCardiff CF243AAUK

Pandemics like COVID-19 have created a spreading and ever-higher healthy threat to the humans in the manufacturing system which incurs severe disruptions and complex issues to industrial *** intelligent manufacturing(IM)systems are promising to create a safe working environment by using the automated manufacturing assets which are monitored by the networked sensors and controlled by the intelligent decision-making *** relief of the production disruption by IM technologies facilitates the reconnection of the good and service flows in the network,which mitigates the severity of industrial chain *** this study,we create a novel intelligent manufacturing framework for the production recovery under the pandemic and build an assessment model to evaluate the impacts of the IM technologies on industrial *** the constraints of the IM resources,we formulate an optimization model to schedule the allocation of IM resources according to the mutual market demands and the severity of the pandemic.

关键词： Intelligent manufacturing system COVID-19 pandemic Industrial network Supply chain disruption Optimization

Smart Manufacturing and Intelligent Manufacturing:A Comparative Review

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Engineering 2021年第6期7卷 738-757页

作者： baicun wang Fei Tao Xudong Fang Chao Liu Yufei Liu Theodor Freiheit State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China Department of Mechanical Engineering University of MichiganAnn ArborMI 48109USA Chinese Academy of Engineering Beijing 100088China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Engineering Cardiff UniversityCardiff CF243AAUK

The application of intelligence to manufacturing has emerged as a compelling topic for researchers and industries around the ***,different terminologies,namely smart manufacturing(SM)and intelligent manufacturing(IM),have been applied to what may be broadly characterized as a similar paradigm by some researchers and *** SM and IM are similar,they are not *** an evolutionary perspective,there has been little consideration on whether the definition,thought,connotation,and technical development of the concepts of SM or IM are consistent in the *** address this gap,the work performs a qualitative and quantitative investigation of research literature to systematically compare inherent differences of SM and IM and clarify the relationship between SM and IM.A bibliometric analysis of publication sources,annual publication numbers,keyword frequency,and top regions of research and development establishes the scope and trends of the currently presented *** topics discussed include origin,definitions,evolutionary path,and key technologies of SM and *** implementation architecture,standards,and national focus are also *** this work,a basis to understand SM and IM is provided,which is increasingly important because the trend to merge both terminologies rises in Industry 4.0 as intelligence is being rapidly applied to modern manufacturing and human–cyber–physical systems.

关键词： Smart manufacturing Intelligent manufacturing Industry 4.0 Human–cyber–physical system(HCPS)

Toward New-Generation Intelligent Manufacturing

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Engineering 2018年第1期4卷 11-20页

作者： Zhou Ji Li Peigen Zhou Yanhong wang baicun Zang Jiyuan Meng Liu Chinese Academy of Engineering Beijing 100088 China Huazhong University of Science and Technology Wuhan 430074 China Tsinghua University Beijing 100084 China

Intelligent manufacturing is a general concept that is under continuous development. It can be categorized into three basic paradigms： digital manufacturing, digital-networked manufacturing, and newgeneration intelligent manufacturing. New-generation intelligent manufacturing represents an indepth integration of new-generation artificial intelligence （AI） technology and advanced manufacturing technology. It runs through every link in the full life-cycle of design, production, product, and service. The concept also relates to the optimization and integration of corresponding systems; the continuous improvement of enterprises＇ product quality, performance, and service levels; and reduction in resources consumption. New-generation intelligent manufacturing acts as the core driving force of the new indus- trial revolution and will continue to he the main pathway for the transformation and upgrading of the manufacturing industry in the decades to come. Human-cyher-physical systems （HCPSs） reveal the tech- nological mechanisms of new-generation intelligent manufacturing and can effectively guide related the- oretical research and engineering practice. Given the sequential development, cross interaction, and iterative upgrading characteristics of the three basic paradigms of intelligent manufacturing, a technol- ogy roadmap for ＂parallel promotion and integrated development＂ should he developed in order to drive forward the intelligent transformation of the manufacturing industry in China.

关键词： Advanced manufacturing New-generation intelligent manufacturing Human-cyber-physical systemNew-generation AIBasic paradigms Parallel promotionIntegrated development

Strategic analysis of China’s geothermal energy industry

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Frontiers of Engineering Management 2021年第3期8卷 390-401页

作者： Hao GONG baicun wang Haijun LIANG Zuoxian LUO Yaofeng CAO SINOPEC Star Petroleum Co. Ltd.Beijing 100083China China National Research and Technology Center of Geothermal Energy Beijing 100083China Chinese Academy of Engineering Beijing 100088China Department of Mechanical Engineering University of MichiganAnn ArborMI 48109USA SINOPEC Economics and Development Research Institute Beijing 100029China

China is an early user of geothermal energy,and its direct use ranks first in the *** national strategies and policies have enabled China’s geothermal energy industry to enter a new era with important development *** paper investigates the strengths,weaknesses,opportunities,and threats(SWOT)to China’s geothermal energy industry from political,economic,social,and technological(PEST)***–PEST analysis indicates that the resources,market,and technological foundation exist for the large-scale development of China’s geothermal energy ***,it experiences constraints,such as unclear resource distributions,incomplete development of government regulations,incomplete implementation of national policies,unclear authority between governmental administrative systems,and lack of uniform technical standards and ***,future development strategies have been proposed to provide technical support and policy tools for geothermal energy *** recommendations to ensure its healthy and sustainable development include improving resource exploration,rationalizing administration systems,enhancing policy guidance and financial support,and cultivating geothermal talent.

关键词： geothermal energy strategic analysis SWOT–PEST policy administration

采用最小信息损失方法的汽车主动悬架控制器降阶研究

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汽车工程 2012年第11期34卷 995-998,1019页

作者：汪洪波王柏村陈无畏合肥工业大学机械与汽车工程学院合肥230009

针对汽车悬架系统控制器阶数高、工程上难以实现的问题,建立了整车7自由度主动悬架模型,考虑人体对振动的敏感频段,设计了H∞加权控制器,以保证闭环系统稳定且具有较好的抗干扰性能。基于最小信息损失方法对20阶主动悬架控制器进行降阶... 详细信息

针对汽车悬架系统控制器阶数高、工程上难以实现的问题,建立了整车7自由度主动悬架模型,考虑人体对振动的敏感频段,设计了H∞加权控制器,以保证闭环系统稳定且具有较好的抗干扰性能。基于最小信息损失方法对20阶主动悬架控制器进行降阶研究。通过对降阶前后主动悬架闭环控制系统频域特性和乘坐舒适性的对比表明,将20阶主动悬架控制器降至8阶后,控制器状态的能控与能观信息损失之和小于50%,且悬架控制系统仍具有十分相近的控制性能。

关键词：主动悬架 H∞控制最小信息损失降阶乘坐舒适性

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面向工业5.0的人机协作增材制造

机械工程学报 2024年第3期60卷 238-253页

作者：蒋周明矩熊异王柏村南方科技大学系统设计与智能制造学院深圳518055 浙江大学机械工程学院杭州310058

工业5.0是一种以价值驱动的新兴制造模式,其中人本智造是核心理念之一。然而,目前人本智造研究主要聚焦于系统层级,针对增材制造等特定工艺应用的研究仍然较少,因此亟需明晰相关科学问题与关键挑战。基于人-信息-物理系统的理论体系,提... 详细信息

工业5.0是一种以价值驱动的新兴制造模式,其中人本智造是核心理念之一。然而,目前人本智造研究主要聚焦于系统层级,针对增材制造等特定工艺应用的研究仍然较少,因此亟需明晰相关科学问题与关键挑战。基于人-信息-物理系统的理论体系,提出了面向工业5.0的人机协作增材制造参考框架,建立产品-经济-生态三层次模型,并结合增材制造技术的内在特点和功能演进阐释了人机协作增材制造的基本概念。围绕产品开发流程,讨论了关键使能技术,包括万物互联、人工智能、数字孪生、扩展现实、智能材料等。最后,探讨了人机协作增材制造在产品层、经济层、生态层中的典型应用,包括个性化产品设计、交互式制造、面向工艺链的人机协作、众创式设计、分布式制造和节能减排等。该框架旨在研究人机协作增材制造,通过发展人-信息-物理系统理论,首次系统地阐述了其核心概念、关键技术和典型场景,以推动增材制造向人机协作的工业5.0范式转变,更好地满足用户个性化需求。

关键词：人机协作增材制造人-信息-物理系统工业5.0 人本智造