As the application of Industrial Robots(IRs)scales and related participants increase,the demands for intelligent Operation and Maintenance(O&M)and multi-tenant collaboration rise.Traditional methods could no longe...As the application of Industrial Robots(IRs)scales and related participants increase,the demands for intelligent Operation and Maintenance(O&M)and multi-tenant collaboration rise.Traditional methods could no longer cover the requirements,while the Industrial Internet of Things(IIoT)has been considered a promising solution.However,there’s a lack of IIoT platforms dedicated to IR O&M,including IR maintenance,process optimization,and knowledge sharing.In this context,this paper puts forward the multi-tenant-oriented ACbot platform,which attempts to provide the first holistic IIoT-based solution for O&M of IRs.Based on an information model designed for the IR field,ACbot has implemented an application architecture with resource and microservice management across the cloud and multiple edges.On this basis,we develop four vital applications including real-time monitoring,health management,process optimization,and knowledge graph.We have deployed the ACbot platform in real-world scenarios that contain various participants,types of IRs,and processes.To date,ACbot has been accessed by 10 organizations and managed 60 industrial robots,demonstrating that the platform fulfills our expectations.Furthermore,the application results also showcase its robustness,versatility,and adaptability for developing and hosting intelligent robot applications.展开更多
P2P2B模式下云服务投入是工业互联网(industrial internet of things,IIoT)平台的关键战略决策之一.构建由IIoT平台、龙头企业、潜在客户构成的演化博弈模型,研究IIoT平台在公有云研发投入和私有云研发投入中的策略选择,及其与龙头企业...P2P2B模式下云服务投入是工业互联网(industrial internet of things,IIoT)平台的关键战略决策之一.构建由IIoT平台、龙头企业、潜在客户构成的演化博弈模型,研究IIoT平台在公有云研发投入和私有云研发投入中的策略选择,及其与龙头企业的生态合作问题.结果表明:虽然公有云存在数据泄露隐患,但较高的规模收益仍会吸引IIoT平台投入公有云研发,而平台搭建期内龙头企业的高合作意愿会促使平台投入私有云,随着龙头企业合作研发的比例增加,平台又将改变其投入策略.驱动龙头企业合作的因素可以是成本收益、技术提升等直接因素,也可以是规模收益、数据泄露概率等间接因素.最后,基于平台生命周期探讨了初创期、平台搭建期与生态系统期IIoT平台的系统稳定策略,并得到相应的管理启示.展开更多
传统工业巨擘西门子作为德国工业4.0的先驱者与践行者,其所构建的Mi ndSphe r e平台在工业物联网行业有着不可动摇的地位。本文基于平台战略理论,构建了“核心—标准—边缘”的技术平台模型,分析了西门子为实现数字化转型升级所采取的...传统工业巨擘西门子作为德国工业4.0的先驱者与践行者,其所构建的Mi ndSphe r e平台在工业物联网行业有着不可动摇的地位。本文基于平台战略理论,构建了“核心—标准—边缘”的技术平台模型,分析了西门子为实现数字化转型升级所采取的平台战略。研究发现:(1)通过实施扩张性归核化战略打造的工业物联网平台MindSphere,是西门子重塑竞争优势的关键之举;(2)西门子在工业物联网的核心技术领域——工业物联和工业控制方面积极推广其标准,促进了国际工业物联网平台标准的统一;(3)西门子通过拓宽技术边界资源和社会边界资源,吸引更多的合作伙伴加入平台生态系统,打破了原有的产业边界,使平台更具有生命力与竞争力;(4)随着标准的全球推广,西门子工业物联网平台的网络效应已经显现:由开发者、运营者、用户和MindSphere应用商店共同构成Mi ndSpher e价值流,数字化服务已成为西门子的主要商业模式;(5)西门子突破了组织惯性。采取工业物联网平台战略的改变了竞争方式、组织形态、产品架构及商业模式,使其成为最大限度地利用网络效应的平台企业。展开更多
基金supported by the Zhejiang Province Key R&D Program of China(2023C01070).
文摘As the application of Industrial Robots(IRs)scales and related participants increase,the demands for intelligent Operation and Maintenance(O&M)and multi-tenant collaboration rise.Traditional methods could no longer cover the requirements,while the Industrial Internet of Things(IIoT)has been considered a promising solution.However,there’s a lack of IIoT platforms dedicated to IR O&M,including IR maintenance,process optimization,and knowledge sharing.In this context,this paper puts forward the multi-tenant-oriented ACbot platform,which attempts to provide the first holistic IIoT-based solution for O&M of IRs.Based on an information model designed for the IR field,ACbot has implemented an application architecture with resource and microservice management across the cloud and multiple edges.On this basis,we develop four vital applications including real-time monitoring,health management,process optimization,and knowledge graph.We have deployed the ACbot platform in real-world scenarios that contain various participants,types of IRs,and processes.To date,ACbot has been accessed by 10 organizations and managed 60 industrial robots,demonstrating that the platform fulfills our expectations.Furthermore,the application results also showcase its robustness,versatility,and adaptability for developing and hosting intelligent robot applications.
文摘P2P2B模式下云服务投入是工业互联网(industrial internet of things,IIoT)平台的关键战略决策之一.构建由IIoT平台、龙头企业、潜在客户构成的演化博弈模型,研究IIoT平台在公有云研发投入和私有云研发投入中的策略选择,及其与龙头企业的生态合作问题.结果表明:虽然公有云存在数据泄露隐患,但较高的规模收益仍会吸引IIoT平台投入公有云研发,而平台搭建期内龙头企业的高合作意愿会促使平台投入私有云,随着龙头企业合作研发的比例增加,平台又将改变其投入策略.驱动龙头企业合作的因素可以是成本收益、技术提升等直接因素,也可以是规模收益、数据泄露概率等间接因素.最后,基于平台生命周期探讨了初创期、平台搭建期与生态系统期IIoT平台的系统稳定策略,并得到相应的管理启示.
