A high-efficiency data compression and visualization method for large complex BIM model

Aowei Tang; Xi Kuai; Biao He; Hai Xu; Xing Hao Zhou; Heng Zhang

doi:10.1117/12.3019423

23 January 2024 A high-efficiency data compression and visualization method for large complex BIM model

Aowei Tang, Xi Kuai, Biao He, Hai Xu, Xing Hao Zhou, Heng Zhang

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129781P (2024) https://doi.org/10.1117/12.3019423
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

Building information modeling (BIM), with the accurate representation of building geometry structure and component composition, has played a significant role in digital twin development and city information modeling (CIM). Owing to the huge volume of data and complex reference relationships between BIM components, there are few applications that can efficiently transfer, store, and smoothly visualize BIM models. In this study, we propose an efficient BIM data compression and visualization method based on instancing storage and scene hierarchy instanced culling (SHIC) instancing rendering. We identify instanced BIM models based on the IFC semantic information and spatial geometry calculations and store them as instances. To avoid CPU-Bound, we partition the instanced BIM models space into clusters and calculate the visibility set with it as a culling unit. We implemented our method on Unreal Engine 5(UE5), used China Resources Building as experimental data, and a series of experiments were designed to illustrate the advantages of our method in terms of data compression and rendering efficiency. The results show that our method is effective in data compression and keeps a higher frame rate for visualization.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Aowei Tang, Xi Kuai, Biao He, Hai Xu, Xing Hao Zhou, and Heng Zhang "A high-efficiency data compression and visualization method for large complex BIM model", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129781P (23 January 2024); https://doi.org/10.1117/12.3019423

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data modeling

Visual process modeling

Visualization

3D modeling

Data conversion

Semantics

Cameras

Show All Keywords

Keywords/Phrases

Search In:

Publication Years