Intelligent Production Management and Control for Aircraft Assembly Pulsation Line Based on Digital Twin

ZHAO Yang; FU Xiaolu; LIAO Qingmiao; LIU Qinghua; WU Tao

doi:10.16080/j.issn1671-833x.2020.01/02.014

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Intelligent Production Management and Control for Aircraft Assembly Pulsation Line Based on Digital Twin

更新时间：2025-10-30

- Intelligent Production Management and Control for Aircraft Assembly Pulsation Line Based on Digital Twin
- Aeronautical Manufacturing Technology Vol. 63, Issue 1/2, (2020)
- 作者机构：
  
  1. 航空工业信息技术中心（金航数码）,北京,100028
  2. 中航飞机股份有限公司汉中飞机分公司,汉中,723213
- 作者简介：
- 基金信息：
- DOI：10.16080/j.issn1671-833x.2020.01/02.014
  CLC：
- Published：2020
- 稿件说明：
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赵阳，伏晓露，廖庆妙，刘庆华, 邬涛. 基于数字孪生的智能脉动管控[J]. 航空制造技术, 2020, 63(1/2): 14-20. ZHAO Yang, FU Xiaolu, LIAO Qingmiao, LIU Qinghua, WU Tao. Intelligent Production Management and Control for Aircraft Assembly Pulsation Line Based on Digital Twin. Aeronautical Manufacturing Technology, 2020, 63(1/2): 14-20.

ZHAO Yang, FU Xiaolu, LIAO Qingmiao, et al. Intelligent Production Management and Control for Aircraft Assembly Pulsation Line Based on Digital Twin[J]. Aeronautical Manufacturing Technology, 2020, 63(1/2).
赵阳，伏晓露，廖庆妙，刘庆华, 邬涛. 基于数字孪生的智能脉动管控[J]. 航空制造技术, 2020, 63(1/2): 14-20. ZHAO Yang, FU Xiaolu, LIAO Qingmiao, LIU Qinghua, WU Tao. Intelligent Production Management and Control for Aircraft Assembly Pulsation Line Based on Digital Twin. Aeronautical Manufacturing Technology, 2020, 63(1/2): 14-20. DOI： 10.16080/j.issn1671-833x.2020.01/02.014.

ZHAO Yang, FU Xiaolu, LIAO Qingmiao, et al. Intelligent Production Management and Control for Aircraft Assembly Pulsation Line Based on Digital Twin[J]. Aeronautical Manufacturing Technology, 2020, 63(1/2). DOI： 10.16080/j.issn1671-833x.2020.01/02.014.

摘要

为提升飞机总装脉动生产线智能化水平，开展了基于数字孪生的智能脉动管控研究。基于数字孪生五维模型理论构建了飞机总装脉动生产线数字孪生应用架构，从反应式计划调度、物流精准配送、智能作业指导、产线健康监视、资源迭代优化配置 5 个方面开展了技术研究，为复杂产品装配的智能制造应用提供参考。

Abstract

This paper studies the application of digital twin on aircraft assembly pulsation line in order to improve the intelligence of production management and control. First

based on the theory of five-dimension digital twin model

the application architecture of digital twin aircraft assembly pulsation line is constructed. Then

five aspects about intelligent production management and control are focused on: reactive planning and scheduling

precise logistics distribution

intelligent operation guidance

production line health monitoring

and continuous optimization of resource allocation.

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