Abstract
Extracting sub-models from IFC files is an essential and necessary task in many fields. However, redundant instances in IFC files lead to a larger sub-model size, which is inconvenient to exchange and sharing. To address this issue, this paper proposes a non-redundant BIM sub-model extraction method (NR-BSE). The method can generate sub-models based on users’ predefined physical entities. By considering the characteristics of different instances in IFC files, physical instances and relational instances are extracted separately. The extraction process is based on IFC schema for syntax checking, and then redundant instances are removed from the extracted BIM sub-model. Finally the numbers of all data instances are reordered based on Huffman coding so that a smaller BIM sub-model can be obtained. The experimental results show that the NR-BSE method achieves an instance reduction rate of 71.47% on average. Compared with the BSE-ID method, the instance reduction rate of our method increases by 67.61% and the average sub-model size is reduced by 63.65% on average. Compared with the BSE-IC method, the instance reduction rate of the NR-BSE method is improved by 24.6%, and the average sub-model size is reduced by 60.23%.
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Acknowledgments
The work described in this paper is partially supported by the Chinese National Natural Science Foundation (grant number 11975182) and the State Key Laboratory of Rail Transit Engineering Information in China (Grant No. 2017-06).
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Du, X., Zhang, F., Dong, L. (2022). A Non-redundant BIM Sub-model Extraction Method for IFC Files. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_64
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