Multi-Dimensional and Multi-Scale Intelligent Construction System for Entire Life Cycle

被引:0
|
作者
Liu Z. [1 ,2 ]
Wu L. [1 ,2 ]
Liu Z. [1 ,2 ]
机构
[1] Faculty of Architecture,Civil and Transportation Engineering, Beijing University of Technology, Beijing
[2] Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing
基金
中国国家自然科学基金;
关键词
entire life cycle; intelligent construction; multi-dimensional model; system architecture;
D O I
10.11784/tdxbz202210032
中图分类号
学科分类号
摘要
At present, the insufficient informatization and intelligentization in construction projects are causing inefficiencies and an overreliance on manual labor during project construction. The absence of a comprehensive theoretical framework has constrained most related research to the technical level primarily addressing specific construction step deficiencies, which has to some extent, hindered the advancement of intelligent construction. To address these challenges, considering the impact of spatiotemporal evolution and information flow on the entire construction process, we propose an intelligent construction system encompassing a holistic approach for the entire life cycle based on the previous studies. By focusing on both macro and micro levels, the study of intelligent construction system architectture is abstracted into the issue of multi-dimensional and multi-scale system modeling. The study was initiated by integrating time, informational, and structural hierarchical dimensions to perform data- and model-driven framework modeling and system building for the intelligent construction process. A multi-dimensional and multi-scale intelligent construction system architecture encompassing temporal, information, and structural hierarchical dimensions was developed, clarifying the meaning and function of each dimension. Based on this, a three-dimensional coordinate axis model for an intelligent construction system was proposed. We provided three typical scenarios utilizing the three-dimensional coordinate axis model to illustrate the formation mechanism in each dimension. Moreover, we introduced an entire life cycle intelligent construction model, using the main stadium of FIFA World Cup Qatar 2022 as an example to demonstrate the process of using intelligent construction systems throughout the entire life cycle. The various construction scenario examples and the case study of the main stadium support the universality and practicability of the intelligent construction system. Additionally, it offers novel insights for further research in intelligent construction theory and fosters the industry’s intelligent development. © 2023 Tianjin University. All rights reserved.
引用
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页码:1295 / 1306
页数:11
相关论文
共 32 条
  • [21] Liu Zhansheng, Shi Guoliang, Wang Jingchao, Research on intelligent prediction method of prestressed cable force based on digital twins, Industrial Construction, 51, 5, pp. 1-9, (2021)
  • [22] Kolbe T H, Konig G, Nagel C., Advances in 3D Geo-Information Sciences, pp. 211-225, (2011)
  • [23] Dave B, Kubler S, Framling K, Et al., Opportunities for enhanced lean construction management using Internet of Things standards[J], Automation in Construction, 61, pp. 86-97, (2016)
  • [24] You Zhijia, Zheng Lianqiong, Feng Lingjun, Basic theory and architecture of intelligent construction system, Journal of Civil Engineering and Management, 38, 2, pp. 105-111, (2021)
  • [25] Wang X, Wang S, Song X, Et al., IoT-based intelligent construction system for prefabricated buildings:Study of operating mechanism and implementation in China[J], Applied Sciences, 10, 18, (2020)
  • [26] Eadie R, Browne M, Odeyinka H, Et al., BIM implementation throughout the UK construction project lifecycle: An analysis[J], Automation in Construction, 36, pp. 145-151, (2013)
  • [27] Chen L, Luo H., A BIM-based construction quality management model and its applications[J], Automation in Construction, 46, pp. 64-73, (2014)
  • [28] Zhong R Y, Peng Y, Xue F, Et al., Prefabricated construction enabled by the Internet-of-Things[J], Automation in Construction, 76, pp. 59-70, (2017)
  • [29] Xu J, Lu W., Smart construction from head to toe:A closed-loop lifecycle management system based on IoT[C], Construction Research Congress, pp. 157-168, (2018)
  • [30] Akhavian R, Behzadan A H., Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers[J], Advanced Engineering Informatics, 29, 4, pp. 867-877, (2015)