Digital Twin-Based Production-Logistics Synchronization System for Satellite Mass Assembly Shop-Floor

被引:0
|
作者
Liu, Weiran [1 ]
Zou, Xiaofu [2 ]
Wen, Zhiwen [3 ]
Cheng, Jiangfeng [4 ]
Zuo, Ying [4 ]
Zhang, Chenyuan [4 ]
Liu, Hongting [4 ]
Tao, Fei [1 ,4 ]
机构
[1] Digital Twin International Research Center, International Research Institute for Multidisciplinary Science, Beihang University, Beijing,100191, China
[2] Institute of Artificial Intelligence, Beihang University, Beijing,100191, China
[3] Xi’an Precision Machinery Research Institute, Xi’an,710077, China
[4] School of Automation Science and Electrical Engineering, Beihang University, Beijing,100191, China
基金
中国国家自然科学基金;
关键词
Assembly - Assembly machines - Electronics packaging - Layered manufacturing;
D O I
10.1186/s10033-024-01148-9
中图分类号
学科分类号
摘要
In recent years, the rapid development of large-scale satellite constellations has challenged the mass production capabilities of satellite manufacturers. Assembly is the last and critical phase of satellite production. Achieving satellite mass assembly is the key to realizing satellite mass production. To this end, satellite manufacturers are working to construct the satellite mass assembly shop-floor (SMAS) to enable moving assembly. However, there is still a lack of a modularized manufacturing system oriented to flexible production for SMAS, as well as disturbance detection methods and production-logistics synchronization methods to deal with various disturbances. Therefore, this paper proposes a digital twin-based production-logistics synchronization system (DT-PLSS) for SMAS. The framework of DT-PLSS is introduced first. In this framework, DT-PLSS can achieve modular construction, as well as distributed management and control. Based on the proposed framework, the construction methods of resource level digital twin (DT), workstation level DT, and shop-floor level DT in SMAS are discussed. The DT-based disturbance detection method for SMAS is presented, aiming to detect or predict different types of disturbances and to analyze the effect of disturbances. Then, a DT enhanced production-logistics synchronization mechanism for SMAS is proposed. With this mechanism, the logistics distribution in the dynamic shop-floor environment and production-logistics synchronization under various disturbances can be realized. Finally, a case study in a real SMAS verifies the feasibility and effectiveness of the proposed system and methods. This research proposes a practical framework and system which could realize disturbance detection, logistics distribution, and the production-logistics synchronization in complex SMAS scenario effectively. © The Author(s) 2024.
引用
下载
收藏
相关论文
共 39 条
  • [21] A Digital Twin-Based Approach for the Fault Diagnosis and Health Monitoring of a Complex Satellite System
    Shangguan, Duansen
    Chen, Liping
    Ding, Jianwan
    SYMMETRY-BASEL, 2020, 12 (08):
  • [22] Digital twin-based cyber physical production system architectural framework for personalized production
    Park, Kyu Tae
    Lee, Jehun
    Kim, Hyun-Jung
    Noh, Sang
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 106 (5-6): : 1787 - 1810
  • [23] Digital Twin-Based Process Optimization System Research for Micro-assembly Products
    Zhang, Yi
    Huang, Jiasheng
    Liu, Xiaojun
    Ni, Zhonghua
    2021 INTERNATIONAL CONFERENCE ON COMPUTER, CONTROL AND ROBOTICS (ICCCR 2021), 2021, : 133 - 137
  • [24] Digital twin-based fault tolerance approach for Cyber–Physical Production System
    Saraeian, Shideh
    Shirazi, Babak
    ISA Transactions, 2022, 130 : 35 - 50
  • [25] Exploring Economic, Environmental, and Social Sustainability Impact of Digital Twin-Based Services for Smart Production Logistics
    Kim, Goo-Young
    Flores-Garcia, Erik
    Wiktorsson, Magnus
    Noh, Sang Do
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V, 2021, 634 : 20 - 27
  • [26] Digital Twin-Based Services and Data Visualization of Material Handling Equipment in Smart Production Logistics Environment
    Jeong, Yongkuk
    Flores-Garcia, Erik
    Kwak, Dong Hoon
    Woo, Jong Hun
    Wiktorsson, Magnus
    Liu, Sichao
    Wang, Xi Vincent
    Wang, Lihui
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SMART MANUFACTURING AND LOGISTICS SYSTEMS: TURNING IDEAS INTO ACTION, APMS 2022, PT II, 2022, 664 : 556 - 564
  • [27] Assembly process management and control system for satellite based on digital twin
    Wan F.
    Xing X.
    Wu J.
    Zhao W.
    Wang Z.
    Chen R.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 27 (02): : 631 - 641
  • [28] Digital twin-based cyber-physical system for automotive body production lines
    Son, Yoo Ho
    Park, Kyu Tae
    Lee, Donggun
    Jeon, Seung Woo
    Do Noh, Sang
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 115 (1-2): : 291 - 310
  • [29] Case Study of Digital Twin-based Human-robot Collaborative Work-cell for Satellite Assembly
    Wang, Yichen
    Feng, Jindan
    Liu, Jinshan
    Liu, Xiaojun
    Wang, Junfeng
    2021 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM21), 2021, : 698 - 702
  • [30] Digital twin-based fault tolerance approach for Cyber-Physical Production System
    Saraeian, Shideh
    Shirazi, Babak
    ISA TRANSACTIONS, 2022, 130 : 35 - 50