Calculation and analysis of the degree of collaboration between intelligent construction and building industrialization#br#

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  • School of Business Administration, Liaoning Technical University, Huludao 125105, China

Online published: 2025-04-07

Abstract

The collaborative development of Intelligent Construction and Building Industrialization is a complex system and an important way to promote the transformation and upgrading of the construction industry. In this paper, the collaboration degree of Intelligent Construction and Building Industrialization in various regions of China is measured by cloud model and composite system cooperation degree model. It is found that China is in the critical period of collaborative development of Intelligent Construction and Building Industrialization. The development of Intelligent Construction and Building Industrialization is spatially related, and the development of Intelligent Construction and Building Industrialization in one region often drives the development of corresponding subsystems in other regions. The degree of cooperative development of Intelligent Construction and Building Industrialization has little relationship with the region. In the process of promoting the cooperative development of Intelligent Construction and Building Industrialization, each region should formulate corresponding policies according to local conditions.

Cite this article

ZHANG Ruixue, LIU Hongzhi, LIU Guanxing . Calculation and analysis of the degree of collaboration between intelligent construction and building industrialization#br#[J]. Science & Technology Review, 0 : 1 . DOI: 10.3981/j.issn.1000-7857.2023.12.01921

References

[1] 孙喜亮, 孙志勇, 薛小龙, 等. 智能建造技术协同创新主体互动关系研究[J]. 土木工程学报, 2022, 55(11): 108-117.

[2] 孙洁, 龚晓南, 张宏, 等. 数字化驱动的建筑业高质量发展战略路径研究[J]. 中国工程科学, 2021, 23(4): 56-63.

[3] Guo Z X, Li L H. A conceptual framework for collaborative development of intelligent construction and building industrialization[J]. Frontiers in Environmental Science, 2022,

10: 904518.

[4] Lekan A, Clinton A, Fayomi O S I, et al. Lean thinking and industrial 4.0 approach to achieving construction 4.0 for industrialization and technological development[J]. Buildings,

2020, 10(12): 221.

[5] Zhou Y, Wei X, Peng Y. The modelling of digital twins technology in the construction process of prefabricated buildings[J]. Advances in Civil Engineering, 2021, 2021(1): 1-11.

[6] 刘育江. 智能建造与建筑工业化协同发展影响因素探究[J]. 广东建材, 2024, 40(6): 159-161.

[7] 段宗志, 梁瑞蕾. 基于ISM的智能建造与建筑工业化协同发展影响因素研究[J]. 徐州工程学院学报(自然科学版), 2022, 37(2): 87-92.

[8] 李桃, 严小丽. 智能建造与建筑工业化协同发展系统及作用机制[J]. 土木工程与管理学报, 2022, 39(1): 131-136, 143.
[9] 潘毅. 建筑工业化与智能建造融合发展的路径探索[J]. 建材发展导向, 2022, 20(20): 52-54.
[10] 曾艳. 工程项目智慧建造水平评价研究: 以青岛海天中心项目为例[D]. 青岛: 青岛科技大学, 2021.
[11] 尚书. 新媒体数据驱动的建筑工业化发展水平评价研究[D].哈尔滨: 哈尔滨工业大学, 2018.
[12] Wu J X, Li L H. Synergy degree evaluation in the development of intelligent construction and construction industrialization—a case study of Shenyang, China[J]. International Journal of Low-Carbon Technologies, 2023, 18: 929-942.

[13] Huang J, Shuai Y H, Liu Q, et al. Synergy degree evaluation based on synergetics for sustainable logistics enterprises[J]. Sustainability, 2018, 10(7): 2187.

[14] Huang X, Song J Y, Li X, et al. Evaluation model of synergy degree for disaster prevention and reduction in coastal cities[J]. Natural Hazards, 2020, 100(3): 933-953.
[15] Zhang T, Tan Q, Yu X N, et al. Synergy assessment and optimization for water-energy-food nexus: Modeling and application[J]. Renewable and Sustainable Energy Reviews,2020, 134: 110059.
[16] Bai L B, Qu X, Liu J L, et al. Analysis of factors influencing project portfolio benefits with synergy considerations[J]. Engineering, Construction and Architectural Management, 2023, 30(7): 2691-2715.

[17] Guo Y X, Mao H Y, Ding H P, et al. Data-driven coordinated development of the digital economy and logistics industry[J]. Sustainability, 2022, 14(14): 8963.
[18] 罗敏. 基于EPNR模型的中国低碳技术创新动力因素分析[J]. 科技管理研究, 2018, 38(1): 239-243.
[19] Iannucci C, Munafò M, Sambucini V. Towards environmental analytics: DPSIR as a system of systems[M]//Wohlgemuth V, Fuchs-Kittowski F, Wittmann J, eds. Progress in IS. Cham: Springer International Publishing, 2016: 357-368.
[20] 王惠敏. 建筑工业化转型质量测度及障碍因子改进研究[D].
天津: 天津理工大学, 2022.
[21] 杨洁, 王国胤, 刘群, 等. 正态云模型研究回顾与展望[J]. 计算机学报, 2018, 41(3): 724-744.
[22] 黄琼桃, 刘瑞敏. 云模型的相似性度量综述[J]. 数据通信,2019(6): 43-49.
[23] 刘澜静. 我国工业化与信息化协同度评价研究[D]. 昆明: 云南大学, 2020.
[24] 孟庆松, 韩文秀. 复合系统协调度模型研究[J]. 天津大学学报, 2000, 33(4): 444-446.
[25] 范德成, 杜明月. 中国工业技术创新资源配置时空分异格局研究: 以经济新常态为视角[J]. 科学学研究, 2017, 35(8):1167-1178.
[26] 严红, 许水平, 石俊. 区域产学研协同性动态评价[J]. 系统工程, 2020, 38(5): 66-74.

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