Issue |
E3S Web Conf.
Volume 293, 2021
2021 3rd Global Conference on Ecological Environment and Civil Engineering (GCEECE 2021)
|
|
---|---|---|
Article Number | 02031 | |
Number of page(s) | 4 | |
Section | Environmental Energy and Civil Engineering and Water Conservancy Construction | |
DOI | https://doi.org/10.1051/e3sconf/202129302031 | |
Published online | 23 July 2021 |
Construction and application of factory digital twin model based on BIM and point cloud
Chongqing Institute of Surveying and Monitoring for Planning and Natural Resources, Hi-Tech Service Trade Industrial Park No.64, Middle Section of Huangshan Avenue, Building N, YuBei District, Chongqing, China
* Corresponding author: guochengqin@foxmail.com
The digital twin model of the factory is the basis for the construction of a digital factory, and the professional system of the factory is complex. The traditional BIM model is not completely consistent with the actual position of the corresponding component, and it is difficult to directly replace the digital twin model. In response to this situation, relying on a certain factory project, the point cloud is used to eliminate the positional deviation between the BIM model and the factory during the construction phase, improve the efficiency and accuracy and reliability of model adjustment and optimization, and , realize the conversion from BIM model to digital twin model. A novel algorithm is developed to quickly detect and evaluate the construction quality of the local structure of the factory, so as to input the initial deformation data of the structure into the corresponding model and feed back to the construction party for improvement. The results show that the digital twin model, which is highly consistent with the actual location of the factory components, not only lays a solid foundation for the construction of a digital factory, but also further deepens the integration and application of BIM and point clouds.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.