AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (22.1 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

HydroBIM—Digital design, intelligent construction, and smart operation

Zongliang Zhang1,2( )Sherong Zhang3Zhiyong Zhao1,4,5Lei Yan1( )Chao Wang3Han Liu1,3
PowerChina Kunming Engineering Corporation Limited, Kunming 650051, China
Power Construction Corporation of China, Beijing 100048, China
Tianjin University, Tianjin 300072, China
Yunnan Digital Water Engineering Technology Innovation Center, Kunming 650051, China
Yunnan Engineering Research Center for Intelligent Construction of Water Resources and Hydropower Projects, Kunming 650051, China
Show Author Information

Abstract

Improving the design efficiency of hydropower hub buildings and promoting the application of intelligence in engineering construction and operation management have been critical issues in hydropower engineering construction. The major challenges are mainly reflected in the difficulties of multidisciplinary collaboration and the inefficient coordination of work involving multiple parties. This paper proposes a building information modeling (BIM)-based technology system architecture for digital design, intelligent construction, and intelligent operation, which combines BIM technology with geographic information system (GIS), computer aided engineering (CAE), internet of things (IoT), artificial intelligence (AI), and other technologies. The proposed system includes a BIM-based multi-professional forward collaborative design method, a BIM-based engineering construction management model, and a real-time safety analysis and evaluation technology system based on actual measured safety information and construction. The hydroelectrical engineering BIM (HydroBIM) comprehensive control platform is developed. In the planning and design stage, the platform enables the whole process and full-professional collaborative digital design. In the engineering construction management stage, it supports the whole process and all-round information management and control of contract, schedule, quality, safety, and investment. In the operation management stage, the platform facilitates the integrated management of engineering safety evaluation, early warning, and emergency plan based on monitoring data and the consistency criterion of positive and negative evaluation. The application of this technology in more than 20 engineering, has proven to improve the efficiency of design and analysis of hydropower hub buildings and the intelligence level of engineering construction and operation management, and overcome the difficulties of multi-professional collaboration in the design stage and low efficiency of multi-participant coordination in the construction stage.

References

[1]

S. R. Zhang, P. Q. Jiang. Implementation of BIM + WebGIS based on extended IFC and batched 3D tiles data: An application in RCC gravity dam for republication of design change model. KSCE J Civ Eng, 2021, 25: 4045–4064.

[2]

Y. Z. Mao, S. Q. Bu, D. H. Fu, et al. BIM application in design of Sanhekou water control project in Yinhanjiwei project. J Inform Technol Civ Eng Archit, 2020, 12: 105–110. (in Chinese)

[3]

S. R. Zhang, F. Pan, C. Wang, et al. BIM-based collaboration platform for the management of EPC projects in hydropower engineering. J Constr Eng Manage, 2017, 143: 04017087.

[4]

S. L. Yi, X. Zhang, M. H. Calvo. Construction safety management of building project based on BIM. J Mech Eng Res Dev, 2015, 38: 97–104.

[5]
K. C. Wang, S. H. Wang, C. J. Kung, et al. Applying BIM and visualization techniques to support construction quality management for soil and water conservation construction projects. In: Proceedings of the 35th International Symposium on Automation and Robotics in Construction, Berlin, Germany, 2018: pp 724–731.
[6]

Y. H. Zhou, T. F. Bao, X. S. Shu, et al. BIM and ontology-based knowledge management for dam safety monitoring. Automat Constr, 2023, 145: 104649.

[7]

X. J. Ge, P. Livesey, J. Wang, et al. Deconstruction waste management through 3D reconstruction and bim: A case study. Vis Eng, 2017, 5: 13.

[8]

K. Han, M. Golparvar-Fard. Crowdsourcing BIM-guided collection of construction material library from site photologs. Vis Eng, 2017, 5: 14.

[9]

B. Atazadeh, M. Kalantari, A. Rajabifard, et al. Extending a BIM-based data model to support 3D digital management of complex ownership spaces. Int J Geogr Inf Sci, 2017, 31: 499–522.

[10]

B. Gledson, D. Greenwood. Surveying the extent and use of 4D BIM in the UK. J Inf Technol Constr, 2016, 21: 57–71.

[11]

J. Jupp. 4D BIM for environmental planning and management. Procedia Eng, 2017, 180: 190–201.

[12]

C. Boton. Supporting constructability analysis meetings with immersive virtual reality-based collaborative BIM 4D simulation. Automat Constr, 2018, 96: 1–15.

[13]

Y. C. Deng, V. J. L. Gan, M. Das, et al. Integrating 4D BIM and GIS for construction supply chain management. J Constr Eng Manage, 2019, 145: 04019016.

[14]

A. Rafiee, E. Dias, S. Fruijtier, et al. From BIM to geo-analysis: View coverage and shadow analysis by BIM/GIS integration. Procedia Environ Sci, 2014, 22: 397–402.

[15]

S. Y. Niu, W. Pan, Y. S. Zhao. A BIM–GIS integrated web-based visualization system for low energy building design. Procedia Eng, 2015, 121: 2184–2192.

[16]

S. W. Ji, T. H. Hu. Construction simulation and real-time monitoring research of concrete dam based on BIM. IOP Conf Ser: Earth Environ Sci, 2019, 304: 052056.

[17]

Y. C. Sari, C. A. Wahyuningrum, N. C. Kresnanto. Building information modeling (BIM) for dams—Literature review and future needs. J Civ Eng Forum, 2020, 6: 61–68.

[18]

J. Q. Zhang, C. L. Wu, Y. Z. Wang, et al. The BIM-enabled geotechnical information management of a construction project. Computing, 2018, 100: 47–63.

[19]

R. A. Kivits, C. Furneaux. BIM: Enabling sustainability and asset management through knowledge management. Sci World J, 2013, 2013: 983721.

[20]

J. C. P. Cheng, Q. Q. Lu, Y. C. Deng. Analytical review and evaluation of civil information modeling. Automat Constr, 2016, 67: 31–47.

Journal of Intelligent Construction
Article number: 9180014
Cite this article:
Zhang Z, Zhang S, Zhao Z, et al. HydroBIM—Digital design, intelligent construction, and smart operation. Journal of Intelligent Construction, 2023, 1(2): 9180014. https://doi.org/10.26599/JIC.2023.9180014

10348

Views

1500

Downloads

12

Crossref

Altmetrics

Received: 14 June 2023
Revised: 06 July 2023
Accepted: 08 July 2023
Published: 31 July 2023
© The Author(s) 2023. Published by Tsinghua University Press.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Return