Multi-Discipline Forward Collaborative Design Technology Based on BIM Interaction and Data-Driven

SHI Haiou; YUAN Quan; ZHANG Yunlin; ZENG Wenqu; ZHENG Qing; DING Guofu

doi:10.3969/j.issn.0258-2724.20200035

Volume 56 Issue 1

Jan. 2021

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Journal of Southwest Jiaotong University > 2021 > 56(1): 176-181.

CHEN Weirong, HU Binbin, LI Qi, YAN Yu, MENG Xiang. Energy Management Method for Hybrid Electric Tram Based on Dynamic Programming Algorithm[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 903-911. doi: 10.3969/j.issn.0258-2724.20180470

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SHI Haiou, YUAN Quan, ZHANG Yunlin, ZENG Wenqu, ZHENG Qing, DING Guofu. Multi-Discipline Forward Collaborative Design Technology Based on BIM Interaction and Data-Driven[J]. Journal of Southwest Jiaotong University, 2021, 56(1): 176-181. doi: 10.3969/j.issn.0258-2724.20200035

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Multi-Discipline Forward Collaborative Design Technology Based on BIM Interaction and Data-Driven

doi: 10.3969/j.issn.0258-2724.20200035

Received Date: 02 Feb 2020
Rev Recd Date: 03 Apr 2020

Available Online: 21 Oct 2020

Publish Date: 01 Feb 2021

Abstract

Abstract

In order to realize data-driven collaborative design among multiple disciplines and improve design efficiency, with the analysis of the forward collaborative design model of urban rail transits, the data-driven forward collaborative design technology is proposed for multiple disciplines. Firstly, the seven-dimensional building information model (BIM) that conforms to the characteristics of the urban rail transit is adopted. The three-dimensional design model is expressed by industry foundation class (IFC) and parsed to form the model structure tree. Then, the interactive component parameter design is completed through model interaction and data extraction. Finally, based on data-driven and collaborative information, the design parameters of collaborative components are adjusted, and the collaborative design process is completed. The case analysis shows that the data-driven forward collaborative design technology proposed in this work could effectively promote data interaction and coordination among the various disciplines of urban rail transit. It realizes the forward collaborative design among multiple disciplines, and contribute to forming an optimized design scheme and improving collaboration efficiency.
- urban rail transit,
- 7D building information modeling (BIM),
- collaborative design,
- model interaction,
- data-driven

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