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基于 BIM 数字孪生的智能建筑施工管理。

Intelligent Building Construction Management Based on BIM Digital Twin.

机构信息

Henan Finance University, Zhengzhou 451464, China.

出版信息

Comput Intell Neurosci. 2021 Dec 14;2021:4979249. doi: 10.1155/2021/4979249. eCollection 2021.

DOI:10.1155/2021/4979249
PMID:34950199
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8691975/
Abstract

In order to improve the construction effect of intelligent buildings, this paper combines the BIM digital twin technology to construct the overall structure of the building construction operation and maintenance system driven by the BIM digital twin. Moreover, this paper conducts intelligent simulation of the construction process of the building and combines the construction process of the intelligent building to apply the BIM digital twin technology to the construction management of the intelligent building. In addition, this paper uses BIM to simulate the construction process. After the construction management plan is developed, BIM can be used to simulate the construction, find the problems in the construction, and formulate a reliable construction management plan in time. Through simulation experiment research, it can be known that the intelligent building construction management model based on BIM digital twin proposed in this paper can help the deployment of intelligent building construction process in many aspects and help improve the efficiency of building construction management.

摘要

为了提高智能建筑的施工效果,本文结合 BIM 数字孪生技术,构建了由 BIM 数字孪生驱动的建筑施工运维系统的整体结构。此外,本文对建筑的施工过程进行智能模拟,并结合智能建筑的施工过程,将 BIM 数字孪生技术应用于智能建筑的施工管理。此外,本文使用 BIM 模拟施工过程。在制定施工管理计划后,可以使用 BIM 模拟施工,发现施工中的问题,并及时制定可靠的施工管理计划。通过仿真实验研究可知,本文提出的基于 BIM 数字孪生的智能建筑施工管理模型可以帮助智能建筑施工过程的部署,有助于提高建筑施工管理的效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/4be40b3cac34/CIN2021-4979249.010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/b47e6b7ceb78/CIN2021-4979249.001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/7373552566b7/CIN2021-4979249.008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/b47e6b7ceb78/CIN2021-4979249.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/e5e6b1dcb789/CIN2021-4979249.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/b7469f924509/CIN2021-4979249.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/39d2a3385f0d/CIN2021-4979249.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/10bdf955d0a6/CIN2021-4979249.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/563c0b03e9c3/CIN2021-4979249.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/efce37ae6a8b/CIN2021-4979249.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/7373552566b7/CIN2021-4979249.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/e331c355b88c/CIN2021-4979249.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/630b/8691975/4be40b3cac34/CIN2021-4979249.010.jpg

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