数字孪生车间制造运营管理平台

doi:10.13196/j.cims.2024.0065

计算机集成制造系统 ›› 2024, Vol. 30 ›› Issue (1): 1-13.DOI: 10.13196/j.cims.2024.0065

• • 下一篇

数字孪生车间制造运营管理平台

张永平¹,左颖¹⁺,刘博¹,胡天亮²,刘庭煜³,刘晓军³,吕海洋⁴,朱毅明⁵,施一明⁶,吴恒⁷,何宏宏⁸,孙翰林⁹,张奕帆⁹,胡鹏飞⁵,邹孝付¹⁰,李瑞琪⁸,王子同¹¹,陶飞^1,11

1.北京航空航天大学自动化科学与电气工程学院
2.山东大学机械工程学院
3.东南大学机械工程学院
4.国机智能技术研究院有限公司
5.和利时科技集团有限公司
6.浙江大学控制科学与工程学院
7.中国科学院软件研究所
8.中国电子技术标准化研究院物联网研究中心
9.北京航空航天大学中法工程师学院
10.北京航空航天大学人工智能研究院
11.北京航空航天大学国际交叉科学研究院数字孪生国际研究中心

出版日期:2024-01-31 发布日期:2024-02-04
基金资助:
国家自然科学基金资助项目(52275471,52105500);新基石科学基金会“科学探索奖”资助项目。

Digital twin shop-floor manufacturing operations management platform

ZHANG Yongping¹,ZUO Ying¹⁺,LIU Bo¹,HU Tianliang²,LIU Tingyu³,LIU Xiaojun³,LYU Haiyang⁴,ZHU Yiming⁵,SHI Yiming⁶,WU Heng⁷,HE Honghong⁸,SUN Hanlin⁹,ZHANG Yifan⁹,HU Pengfei⁵,ZOU Xiaofu¹⁰,LI Ruiqi⁸,WANG Zitong¹¹,TAO Fei^1,11

1.School of Automation Science and Electrical Engineering,Beihang University
2.School of Mechanical Engineering,Shandong University
3.School of Mechanical Engineering,Southeast University
4.SINOMACH Intelligence Technology Research Institute Co.,Ltd.
5.Hollysys Technology Group Co.,Ltd.
6.College of Control Science and Engineering,Zhejiang University
7.Institute of Software,Chinese Academy of Sciences
8.Internet of Things Research Center,China Electronics Standardization Institute
9.Sino-French Engineer School,Beihang University
10.Institute of Artificial Intelligence,Beihang University
11.Digital Twin Research Center,International Research Institute for Multidisciplinary Science,Beihang University

Online:2024-01-31 Published:2024-02-04
Supported by:
Project Supported by the National Natural Science Foundation,China (No.52275471,52105500),and the New Cornerstone Science Foundation through the Xplorer Prize,China.

摘要/Abstract

摘要： 数字孪生使能的制造信息物理融合是数字经济时代制造业发展的主流方向,数字孪生车间作为制造基础单元,能够基于可信数据和模型的融合决策实现面向多场景适配的制造运营管理能力提升。针对制造运营管理精益化、柔性化、智能化发展需求,以及制造运营管理能力与物理需求难适配、制造运营管理模式与物理状态难适用、制造运营管理策略与物理场景难适应的问题,提出了数字孪生车间制造运营管理平台,阐述了其系统组成、特点和关键技术。在此基础上,随着制造运营管理向着包含物理资源和虚拟资源的跨组织、跨企业智能化协同运营延伸,提出了跨组织/跨企业的“组织管理规范洞察决策改善”协同运营管理策略,为支撑车间内、企业内、跨企业等制造运营管理理论研究和应用落地提供系列理论和方法参考。

关键词: 数字孪生车间, 制造运营管理, 数模融合, 协同运营

Abstract: Cyber-physical integration in manufacturing enabled by digital twins is the mainstream direction of manufacturing development in the digital economy era.As a basic unit of manufacturing,digital twin shop-floors can improve manufacturing operation management capabilities to adapt to multiple scenarios based on fusion decisions of trusted data and models.A digital twin shop-floor manufacturing operation management platform is proposed to address the needs of lean,flexible and intelligent manufacturing operation management,as well as the difficulties in adapting manufacturing operation management capabilities to physical requirements,adapting manufacturing operation management modes to physical states,and adapting manufacturing operation management strategies to physical scenarios.Its system composition,characteristics and key technologies are also elaborated and discussed respectively.On this basis,as manufacturing operation management extends towards cross-organization and cross-enterprise intelligent collaboration including physical resources and virtual resources,a collaborative operation management strategy of “organization-management-standardization-insight-decision-making-improvement” for intelligent production control was proposed.It provided a series of theoretical and methodological references to support theoretical research and application of manufacturing operations management within shop-floors,within enterprises,and across enterprises.

Key words: digital twin shop-floor, manufacturing operations management, digital-model integration, collaborative operation

中图分类号:

TP301.6

张永平, 左颖, 刘博, 胡天亮, 刘庭煜, 刘晓军, 吕海洋, 朱毅明, 施一明, 吴恒, 何宏宏, 孙翰林, 张奕帆, 胡鹏飞, 邹孝付, 李瑞琪, 王子同, 陶飞. 数字孪生车间制造运营管理平台[J]. 计算机集成制造系统, 2024, 30(1): 1-13.

ZHANG Yongping, ZUO Ying, LIU Bo, HU Tianliang, LIU Tingyu, LIU Xiaojun, LYU Haiyang, ZHU Yiming, SHI Yiming, WU Heng, HE Honghong, SUN Hanlin, ZHANG Yifan, HU Pengfei, ZOU Xiaofu, LI Ruiqi, WANG Zitong, TAO Fei. Digital twin shop-floor manufacturing operations management platform[J]. Computer Integrated Manufacturing System, 2024, 30(1): 1-13.

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[5]	胡兴,刘检华,庄存波,武颖,张雷,熊辉. 基于数字孪生的复杂产品装配过程管控方法与应用[J]. 计算机集成制造系统, 2021, 27(2): 642-653.
[6]	崔鹏浩,王军强,张文沛,李洋. 基于深度强化学习的流水线预测性维护决策[J]. 计算机集成制造系统, 2021, 27(12): 3416-3428.
[7]	刘怀兰,岳鹏,閤辰皓,赵文杰. 基于VDEVS的离散制造车间虚拟实体行为模型描述方法[J]. 计算机集成制造系统, 2021, 27(10): 2950-2960.
[8]	陶飞, 张贺, 戚庆林, 徐俊, 孙铮, 胡天亮, 刘晓军, 刘庭煜, 关俊涛, 陈畅宇, 孟凡伟, 张辰源, 李志远, 魏永利, 朱铭浩, 肖斌. 数字孪生模型构建理论及应用[J]. 计算机集成制造系统, 2021, 27(1): 1-15.
[9]	赵浩然,刘检华,熊辉,庄存波,苗田,刘金山,王彬. 面向数字孪生车间的三维可视化实时监控方法[J]. 计算机集成制造系统, 2019, 25(第6): 1432-1443.
[10]	陶飞,程颖,程江峰,张萌,徐文君,戚庆林. 数字孪生车间信息物理融合理论与技术[J]. 计算机集成制造系统, 2017, 23(第8期): 1603-1611.
[11]	陶飞,张萌,程江峰,戚庆林. 数字孪生车间——一种未来车间运行新模式[J]. 计算机集成制造系统, 2017, 23(第1期): 1-9.

数字孪生车间制造运营管理平台

Digital twin shop-floor manufacturing operations management platform

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