Abstract Complex products such as satellites, missiles, and aircraft typically have demanding requirements for dynamic data management and process traceability. The assembly process for these complex products involves high complexity, strong dynamics, many uncertainties, and frequent rework and repair, especially in the model development stage. Achieving assembly data management and process traceability for complex products has always been a challenge. A recently proposed solution involves one-to-one mapping of the corresponding physical entity, also known as the digital twin method. This paper proposes a digital twin-based assembly data management and process traceability approach for complex products. First, the dynamic evolutionary process of complex product assembly data was analyzed from three dimensions: granularity, period and version. Then, a framework of digital twin-based assembly data management and process traceability for complex products was constructed. Some core techniques are: 1) workflow-based product assembly data organization and version management; 2) synchronous modeling of the product assembly process based on digital twin; and 3) hierarchical management and traceability of product assembly data based on digital twin. On this basis, an algorithm flowchart for generating a product assembly data package was created, which includes product assembly data management, assembly process traceability, and generation of a product assembly data package. Furthermore, the Digital Twin-based Assembly Process Management and Control System (DT-APMCS) was designed to verify the efficiency of the proposed approach. Some aerospace-related assembly enterprises are currently using DT-APMCS and achieving satisfactory results. Finally, a summary of our work is given, and the future research work is also discussed.

中文翻译：

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基于数字孪生的复杂产品装配数据管理和过程可追溯性

摘要 卫星、导弹、飞机等复杂产品通常对动态数据管理和过程可追溯性有着苛刻的要求。这些复杂产品的装配过程复杂度高、动态性强、不确定性多、返工维修频繁，尤其是在模型开发阶段。实现复杂产品的装配数据管理和过程可追溯性一直是一个挑战。最近提出的解决方案涉及对应物理实体的一对一映射，也称为数字孪生方法。本文提出了一种基于数字孪生的复杂产品装配数据管理和过程追溯方法。首先，从粒度、周期、版本三个维度分析了复杂产品装配数据的动态演化过程。然后，构建了基于数字孪生的复杂产品装配数据管理和过程追溯框架。一些核心技术是：1）基于工作流的产品装配数据组织和版本管理；2) 基于数字孪生的产品装配过程同步建模；3) 基于数字孪生的产品装配数据分级管理和追溯。在此基础上，建立了产品装配数据包生成算法流程图，包括产品装配数据管理、装配过程追溯、产品装配数据包生成。此外，基于数字孪生的装配过程管理和控制系统 (DT-APMCS) 旨在验证所提出方法的效率。一些航天相关的组装企业目前正在使用DT-APMCS，并取得了令人满意的效果。最后，对我们的工作进行了总结，并对未来的研究工作进行了讨论。