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数字孪生在建筑教育支持中的应用:基于亚琛西部参考建筑工地的首个开发框架。

Digital twins as education support in construction: a first development framework based on the Reference Construction Site Aachen West.

作者信息

Dai Rushi, Brell-Çokcan Sigrid

机构信息

Individualized Production in Architecture, RWTH Aachen University, Aachen, Germany.

出版信息

Constr Robot. 2022;6(1):75-83. doi: 10.1007/s41693-022-00070-7. Epub 2022 Apr 6.

DOI:10.1007/s41693-022-00070-7
PMID:37520104
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8984072/
Abstract

The Reference Construction Site Aachen West, located in Aachen, Germany, is a campus-based living lab for research and university education in construction. To ensure and improve the education quality, this paper researches a new study tool in the form of a digital twin framework powered by the Unreal Engine. By implementing MQTT, an IoT communication protocol, the digital twin realizes synchronicity of cyber-physical bi-directional data flows. Representing the virtual Reference Construction Site, an online multiplayer application was developed as a use case to answer the research questions: (1) how to design the digital twin and structure in an extendable and accessible development framework for different users and (2) how to support education in construction with this digital twin. To validate the concept, a group of students were invited online to explore the application and provide user feedback. Results show positive effects of the digital twin on enhancing the quality of the online education in construction with its real-time interaction and data from on-site machinery and processes. The digital twin is planned to be transferred to research and construction projects.

摘要

位于德国亚琛的亚琛西部参考建筑工地,是一个基于校园的建筑领域研究和大学教育的生活实验室。为确保和提高教育质量,本文研究了一种以虚幻引擎驱动的数字孪生框架形式的新学习工具。通过实施物联网通信协议MQTT,数字孪生实现了网络物理双向数据流的同步。作为虚拟参考建筑工地的代表,开发了一个在线多人应用程序作为用例,以回答以下研究问题:(1)如何在可扩展且可访问的开发框架中为不同用户设计数字孪生及其结构,以及(2)如何利用这个数字孪生支持建筑领域的教育。为验证该概念,邀请了一组学生在线探索该应用程序并提供用户反馈。结果表明,数字孪生通过其实时交互以及来自现场机械和流程的数据,对提高建筑领域在线教育质量具有积极影响。该数字孪生计划被应用于研究和建设项目。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/62042ef0fc1c/41693_2022_70_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/833aef0493b1/41693_2022_70_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/f7cca45f0c65/41693_2022_70_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/aefbe8770f1e/41693_2022_70_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/d9b68ad1d28f/41693_2022_70_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/74743e61c2f2/41693_2022_70_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/0bfb5c719228/41693_2022_70_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/b398df83af87/41693_2022_70_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/62042ef0fc1c/41693_2022_70_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/833aef0493b1/41693_2022_70_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/f7cca45f0c65/41693_2022_70_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/aefbe8770f1e/41693_2022_70_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/d9b68ad1d28f/41693_2022_70_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/74743e61c2f2/41693_2022_70_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/0bfb5c719228/41693_2022_70_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/b398df83af87/41693_2022_70_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f4b/8984072/62042ef0fc1c/41693_2022_70_Fig8_HTML.jpg

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