计算机集成制造系统 ›› 2023, Vol. 29 ›› Issue (4): 1082-1096.DOI: 10.13196/j.cims.2023.04.003

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制造商主导的多主体智能协同运维服务新模式

常丰田1,2,周光辉1,4+,常丰姣3,丁凯2,张超1,成玮1   

  1. 1.西安交通大学机械工程学院
    2.长安大学工程机械学院
    3.西安交通大学管理学院
    4.西安交通大学机械制造系统工程国家重点实验室
  • 出版日期:2023-04-30 发布日期:2023-05-16
  • 基金资助:
    科技部国家重点研发计划资助项目(2020YFB1713400);陕西省自然科学基础研究计划资助项目(2022JQ-516);国家自然科学基金资助项目(51975463);长安大学中央高校基本科研业务费专项资金资助项目(300102253103)。

Original equipment manufacturer-dominated multi-player intelligent collaborative maintenance service mode

CHANG Fengtian1,2,ZHOU Guanghu1,4+,CHANG Fengjiao3,DING Kai2,ZHANG Chao1,CHENG Wei1   

  1. 1.School of Mechanical Engineering,Xi'an Jiaotong University
    2.School of Construction Machinery,Chang'an University
    3.School of Management,Xi'an Jiaotong University
    4.State Key Laboratory for Manufacturing Systems Engineering,Xi'an Jiaotong University
  • Online:2023-04-30 Published:2023-05-16
  • Supported by:
    Project supported by the National Key Research and Development Program,China(No.2020YFB1713400),the Natural Science Basic Research Program of Shaanxi Province,China(No.2022JQ-516),the National Natural Science Foundation,China(No.51975463),and the Fundamental Research Funds for the Central Universities,China (No.300102253103).

摘要: 为解决设备制造商(OEM)、服务商、供应商和用户等多主体间自主、协同、可信的服务配置,决策和运行管控等智能运维服务问题,以智能制造核心OEM企业为主导,提出面向复杂装备的多主体服务型智能协同运维服务新模式。在该模式中,明晰了主体协同交互运行生态,构建了系统体系架构,揭示了服务运作逻辑,探索了服务集成配置、关键运维要素辨识、协同维修决策及数据/知识可信运行共享四项关键使能技术。结合原型系统应用验证,为OEM及第三方企业实现智能协同运维服务转型升级提供理论技术指导及实践应用借鉴。

关键词: 复杂装备, 多主体协同, 运维服务模式, 智能运维, 可信运行

Abstract: To solve the intelligent maintenance service problems such as autonomous,collaborative and credible maintenance service configuration,decision-making and operation controls among Original Equipment Manufacturer (OEM),service providers,spare parts suppliers and end users,the intelligent core OEM was regarded as leader and the novel OEM-dominated multi-player service-oriented intelligent collaborative maintenance mode was proposed for complex equipment.In this mode,the multi-player collaborative service operation ecology was revealed,the system platform framework was developed and the service operation logistics were illustrated.Meanwhile,the related four key enabling technologies,namely integration configuration of services,identification of critical maintenance elements,decision-making of collaborative maintenance strategies,and credible data/knowledge sharing operations were also discussed.Combining with the verified application cases from prototype system,this research could provide the theoretical and application references to implement the intelligent services transformations for OEM and third-party.

Key words: complex equipment, multi-player collaboration, maintenance service mode, intelligent maintenance, credible operation

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