Research Prospect of BIM-Based Information Technologies for Engineering Management

HU Zhenzhong; LIU Yi; LIN Chao

doi:10.13204/j.gyjzG22073009

Volume 52 Issue 10

Oct. 2022

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HU Zhenzhong, LIU Yi, LIN Chao. Research Prospect of BIM-Based Information Technologies for Engineering Management[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 195-203. doi: 10.13204/j.gyjzG22073009

Citation:

HU Zhenzhong, LIU Yi, LIN Chao. Research Prospect of BIM-Based Information Technologies for Engineering Management[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 195-203. doi: 10.13204/j.gyjzG22073009

HU Zhenzhong, LIU Yi, LIN Chao. Research Prospect of BIM-Based Information Technologies for Engineering Management[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 195-203. doi: 10.13204/j.gyjzG22073009

Citation:

HU Zhenzhong, LIU Yi, LIN Chao. Research Prospect of BIM-Based Information Technologies for Engineering Management[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(10): 195-203. doi: 10.13204/j.gyjzG22073009

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Research Prospect of BIM-Based Information Technologies for Engineering Management

doi: 10.13204/j.gyjzG22073009

Tsinghua Shenzhen International Graduate School, Shenzhen 518071, China

Received Date: 2022-07-30
Available Online: 2023-03-22

Abstract

Abstract

As the process of social informatization accelerates, information technologies have gradually become an important means for construction practitioners to improve the quality of engineering management. As a key component of the digital development of the construction industry, building information modeling (BIM) has been widely applied in engineering management. How to further develop information technologies for engineering management on the basis of existing theories and applications has thus become the focus of researchers' attention. This paper summarized BIM-related research from two aspects:the organization and processing of engineering data as well as the mining and analysis of such data. The research investigated involved the Industry Foundation Classes (IFC) standard, multi-scale information models, model lightweighting technology, and the key steps and typical methods of data mining in the engineering industry. On this basis, the bottleneck problems faced by BIM and information technologies for engineering were analyzed, and three main future development directions were then proposed and discussed:digital twins in the engineering industry, city information models, and knowledge graphs in the engineering industry. This paper is expected to provide a reference for further research and technology application.
- BIM,
- engineering management,
- information technology,
- digital twin,
- CIM,
- knowledge graph

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References(28)

References

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