• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2022, Vol. 58 ›› Issue (12): 250-260.doi: 10.3901/JME.2022.12.250

• 交叉与前沿 • 上一篇    下一篇

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数字孪生驱动的复杂产品智能运维服务体系与核心技术

黄彬彬1,2,3, 张映锋1, 黄博1,2,3, 任杉4, 史丽春1   

  1. 1. 西北工业大学工业工程与智能制造工信部重点实验室 西安 710072;
    2. 中国航发商用航空发动机有限责任公司 上海 200241;
    3. 上海市航空发动机数字孪生重点实验室 上海 200241;
    4. 西安邮电大学现代邮政学院 西安 710072
  • 收稿日期:2021-09-18 修回日期:2022-03-28 出版日期:2022-06-20 发布日期:2022-09-14
  • 通讯作者: 张映锋(通信作者),男,1979年出生,博士,教授,博士研究生导师。主要研究方向为物联制造系统、数字孪生、制造系统智能化。E-mail:zhangyf@nwpu.edu.cn
  • 作者简介:黄彬彬,男,1994年出生,硕士,助理工程师。主要研究方向为数字孪生、产品生命周期管理、产品服务系统。E-mail:b_b_huang@163.com;黄博,男,1984年出生,博士研究生,高级工程师。主要研究方向为智能制造。E-mail:huangbo_acae@163.com;任杉,男,1985年出生,博士,讲师,硕士研究生导师。主要研究方向为产品生命周期管理、产品服务系统、制造业大数据。E-mail:renshan@xupt.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(U2001201,52005408)

Architecture and Key Technologies of Digital-twin-driven Intelligent Operation & Maintenance Services for Complex Product

HUANG Binbin1,2,3, ZHANG Yingfeng1, HUANG Bo1,2,3, REN Shan4, SHI Lichun1   

  1. 1. Key Laboratory of Industrial Engineering and Intelligent Manufacturing, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an 710072;
    2. AECC Commercial Aircraft Engine Co., Ltd., Shanghai 200241;
    3. Shanghai Key Laboratory of Aircraft Engine Digital Twin, Shanghai 200241;
    4. School of Modern Posts, Xi'an University of Posts & Telecommunications, Xi'an 710072
  • Received:2021-09-18 Revised:2022-03-28 Online:2022-06-20 Published:2022-09-14

摘要: 针对复杂产品运维过程虚实交互协作和智能管控难度大的问题,提出一种数字孪生驱动的复杂产品智能运维服务体系架构,详细阐述了其实现逻辑及核心技术,包括物理-虚拟空间形式化建模与交互协同、多源数据驱动的产品运维知识获取、虚实交互驱动的运行过程跟踪与监控、面向产品服务的实时诊断与主动维护等。通过上述体系架构和核心技术的实施,构建一种虚实空间交互融合、运维知识动态更新、运维服务主动执行的复杂产品运维管理与协作机制。最后,以某型数控机床为例,通过对体系架构的应用方式和运维关键性能指标的识别方法进行分析,验证体系架构、方法的有效性和可行性。所提体系架构和核心技术为复杂产品的智能化、协同化、服务化管理与应用提供一种参考解决方案。

关键词: 数字孪生, 复杂产品, 知识获取, 运维管理

Abstract: Focused on the problem of virtual-real interaction and collaboration and intelligent management for complex product, the architecture of digital-twin-driven intelligent operation and maintenance services for complex product (DT-IOMS-CP) is proposed. Then the implementation logic and key technologies of DT-IOMS-CP are elaborated, which includes formalized modelling and cooperative interaction of physical-virtual spaces, operation and maintenance (O&M) knowledge acquisition of complex product based on multi-source data, process tracking and monitoring based on virtual-real interaction, and service-oriented real-time diagnosis and active maintenance, etc. Through the implementation of above-mentioned architecture and key technologies, a management and collaboration mechanism of complex product O&M characterized by virtual-real interaction and fusion, dynamic updating of O&M knowledge and active performing of O&M services is established. Finally, the CNC machine tool is used to verify the effectiveness and feasibility of the proposed architecture and methods in the aspects of architecture application mode and identification method of O&M key performance indicator. The proposed framework and key technologies could provide a reference solution for intelligent, collaborative and service-oriented management and application of complex product.

Key words: digital twin, complex product, knowledge acquisition, operation and maintenance management

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