IFC File Content Compression Based on Reference Relationships

Du, Xiaoyong; Gu, Yunxiao; Yang, Nan; Yang, Fengshuang

doi:10.1061/(asce)cp.1943-5487.0000894

Cited by 11 publications

(2 citation statements)

References 21 publications

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“…To parse the information in the IFC file efficiently, some researchers have investigated the field of IFC file analysis, processing, and storage [34][35][36][37]. Khalili and Chua [38] developed a graph data model (GDM) to employ semantic information, to extract, analyze, and present the topological relationships among 3D objects in 3D space, and to perform topological queries faster.…”

Section: Approaches To Ifc Information Extraction and Storagementioning

confidence: 99%

Industry Foundation Class-Based Building Information Modeling Lightweight Visualization Method for Steel Structures

Sun,

Wang,

2024

Applied Sciences

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The efficient extraction, storage, and visualization of geometric and semantic information is a key foundation for the operation of the building information modeling (BIM) platform. This study aims to develop a lightweight BIM system and optimize the system’s performance according to the specific characteristics of steel structures. This study proposes several novel techniques for extracting and decoupling the geometric and semantic information of components from industry foundation class (IFC) files. A redundancy removal approach combining the principal content analysis (PCA) algorithm and the Hausdorff-based comparison algorithm is proposed to identify standardized steel components, and a lightweight visualization method on Web3D for redundant instances is also presented. A loading mechanism of the level of detail (LOD) model based on a mesh simplification algorithm is presented to optimize the display efficiency. The developed system is evaluated by three steel structural models. Using the redundancy removal approach, the number of instances is decreased by 96.46% in less than 30 s and over 30 FPS (frame per second) is kept when rendering. Using the LOD loading mechanism, 95.38% of vertices and 98.46% of patches are eliminated under 50 mm precision. The experiment results indicate that users can quickly load large BIM models and fetch sufficient information from the website.

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Section: Approaches To Ifc Information Extraction and Storagementioning

confidence: 99%

Industry Foundation Class-Based Building Information Modeling Lightweight Visualization Method for Steel Structures

Sun,

Wang,

2024

Applied Sciences

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“…Especially some fundament types like IfcCartesianPoint and IfcPropertySingleValue will have some duplicate instances. There are some compression algorithms to remove these like the IFCCompressor which compresses the IFC files by line by line (Sun et al, 2015) and ACC4IFC which takes the default value into consideration (Du et al, 2020). The basic ideas of these algorithms are very concise.…”

Section: Model Compression In Bimmentioning

confidence: 99%

A Redundancy-free IFC Storage Platform For Multi-model Scenarios based on Block Hash

Li¹,

Gao²,

Wang³

et al. 2022

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

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This paper proposes a block hash (BH) method for efficiently storing multipleIndustry Foundation Classes (IFC) models in the database. We find that there are lots of duplicationswhenwe store different models or different versions of a modelinto the databasebecause of the temporal-spatial correlation of data between these models. The main idea of our approach is to divide these model files into appropriate blocks andto calculate the hash valuesof theseblocks to reuse the them in different models. These blocks should not be too small in case too many nodes need to be compared, nor should they be too large in case it is difficult to find identical blocks to share between different models.So the BH method is proposed to efficiently make the database redundancy-free. For the experiments we use multi-versions of multiple models of a same project to validate this method.The experimental results showthat our method is practicable and efficient.

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An iterative reference mapping approach for BIM IFCXML classified content compression

Kim²,

Chen³

2022

Advanced Engineering Informatics

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IFC File Content Compression Based on Reference Relationships

Cited by 11 publications

References 21 publications

Industry Foundation Class-Based Building Information Modeling Lightweight Visualization Method for Steel Structures

Industry Foundation Class-Based Building Information Modeling Lightweight Visualization Method for Steel Structures

A Redundancy-free IFC Storage Platform For Multi-model Scenarios based on Block Hash

An iterative reference mapping approach for BIM IFCXML classified content compression

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