| Title |
Smart City Construction Visual Simulation Application Based on Intelligent BIM Technology |
| ID_Doc |
40886 |
| Authors |
Li, M; Xiong, XF; Yin, QL |
| Title |
Smart City Construction Visual Simulation Application Based on Intelligent BIM Technology |
| Year |
2021 |
| Published |
International Journal Of Pattern Recognition And Artificial Intelligence, 35, 13 |
| DOI |
10.1142/S0218001421550144 |
| Abstract |
This paper takes a project comprehensive office building project of Chaoyang financial center as an example, based on the construction visualization requirements of BIM technology, this paper analyzes the modeling requirements and Suggestions applicable to the project. With the help of Revit modeling software, the architecture and structure model of the whole drawing and three floors underground and two floors above ground electromechanical model are completed. There is a collision detection between the structural and electromechanical subject model that be established by Navisworks Manage 2016 software, also, the paper analyzes the causes of the collision and puts forward corresponding solutions, and find out the problems in the model and make changes in time, which prepare the model for the construction visualization simulation application. On this basis, the construction progress plan set up by Microsoft Project 2013 was carried out and related to the three-dimensional (3D) parameterized model components, which implement the visual simulation of the construction process of research and the 4D simulation of construction process of the project. What's more, the application of visualization simulation based on BIM technology can greatly reduce the occurrence of changes and rework in actual construction, thus greatly improving the efficiency of construction work.(11) |
| Author Keywords |
BIM technology; visual simulation; 4D construction simulation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000731966600004 |
| WoS Category |
Computer Science, Artificial Intelligence |
| Research Area |
Computer Science |
| PDF |
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