| 数字孪生演进模型及其在智能制造中的应用 |
| |
| 引用本文： | 江海凡,丁国富,肖通,樊孟杰,付建林,张剑.数字孪生演进模型及其在智能制造中的应用[J].西南交通大学学报,2022,57(6):1386-1394. |
| |
| 作者姓名： | 江海凡 丁国富 肖通 樊孟杰 付建林 张剑 |
| |
| 作者单位： | 西南交通大学先进设计与制造技术研究所，四川 成都 610031 |
| |
| 基金项目： | 国家重点研发计划（2020YFB1708001） |
| |
| 摘 要： | 数字孪生作为实现智能制造信息物理融合的关键使能技术受到广泛关注，而如何构建数字孪生模型成为当前研究的热点. 目前，数字孪生模型多聚焦于概念抽象或具体工程应用，而较少从构建方法和过程的角度考虑如何分阶段、有步骤地构建和应用数字孪生模型. 因此，本文提出数字孪生演进模型的概念，将数字孪生构建与应用过程分为数字模型、数字投影以及数字孪生3个演进阶段，给出各演进阶段的应用方法、关键技术与工具平台，并探讨数字孪生演进模型在智能装备、智能生产、智能运维方面的典型应用. 研究结果表明:所提模型为数字孪生在智能制造中的分步实施提供了可行的技术路线与有益的应用参考.
|
| 关 键 词： | 数字孪生 数字孪生演进模型 智能制造 技术路线图 应用 |
| 收稿时间： | 2021-03-23 |
Digital Twin Evolution Model and Its Applications in Intelligent Manufacturing |
| |
| JIANG Haifan,DING Guofu,XIAO Tong,FAN Mengjie,FU Jianlin,ZHANG Jian.Digital Twin Evolution Model and Its Applications in Intelligent Manufacturing[J].Journal of Southwest Jiaotong University,2022,57(6):1386-1394. |
| |
| Authors: | JIANG Haifan DING Guofu XIAO Tong FAN Mengjie FU Jianlin ZHANG Jian |
| |
| Affiliation: | Institute of Advanced Design & Manufacturing, Southwest Jiaotong University, Chengdu 610031, China |
| |
| Abstract: | As a key enabling technology for the cyber-physical fusion of intelligent manufacturing, the digital twin has drawn extensive concern. And how to build a digital twin model has become a current research hotspot. At present, digital twin models are mostly focused on conceptual abstraction or specific engineering applications, and seldom consider how to construct and apply digital twin models step by step from the perspective of construction methods and processes. Therefore, this paper proposed the digital twin evolution model (DTEM), which divides the construction and application process of the digital twin into three evolution stages, namely digital model, digital shadow, and digital twin. Then, the application methods, key technologies and tool platforms of each evolution stage were discussed. And the typical applications of DTEM were explored, including intelligent equipment, intelligent production, and intelligent operation and maintenance. The applications show that the proposed model provides a feasible technical route and useful application reference for the step-by-step implementation of digital twins in intelligent manufacturing. |
| |
| Keywords: | |
|
| 点击此处可从《西南交通大学学报》浏览原始摘要信息 |
|
点击此处可从《西南交通大学学报》下载全文 |
|
