Cloud Model-Based Intelligent Construction Management Level Assessment of Prefabricated Building Projects

被引:1
作者
An, Hongda [1 ]
Jiang, Lei [1 ]
Chen, Xingwen [2 ]
Gao, Yunli [1 ]
Wang, Qingchun [1 ]
机构
[1] Dalian Minzu Univ, Sch Civil Engn, Dalian 116600, Peoples R China
[2] Dalian Minzu Univ, Sch Informat & Commun Engn, Dalian 116600, Peoples R China
关键词
prefabricated building; intelligent construction management; cloud model; analytic hierarchy process; entropy weight method; multidimensional evaluation; BIM; SAFETY; PERFORMANCE; CHECKING; DESIGN; SYSTEM;
D O I
10.3390/buildings14103242
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Intelligent construction is vital for achieving new building industrialization by enhancing prefabricated buildings through integrated, digital, and intelligent management across production and construction processes. Despite its significance, detailed research on evaluating the intelligent construction management (ICM) level of prefabricated projects remains limited. This study aims to develop a comprehensive, multi-level, multi-dimensional ICM assessment system. By reviewing the literature, engaging in expert discussions, and conducting case studies-specifically using a project in Guangzhou as an example-this study employs the Analytic Hierarchy Process (AHP) and entropy weight methods to assign indicator weights. Utilizing cloud model theory, it establishes evaluation standards for intelligent construction management. This model identifies the project's ICM level, suggests practical improvement methods, and validates its applicability. This work not only advances theoretical understanding but also provides a practical framework for assessing ICM levels in prefabricated projects, thus contributing significantly to the field by offering new research perspectives and empirical evidence.
引用
收藏
页数:24
相关论文
共 85 条
[1]  
Abbas R., 2020, P INT S AUT ROB CONS, P233, DOI [10.22260/ISARC2020/0034, DOI 10.22260/ISARC2020/0034]
[2]   BIM-augmented reality integrated approach to risk management [J].
Alirezaei, Sahar ;
Taghaddos, Hosein ;
Ghorab, Khashayar ;
Tak, Ala Nekouvaght ;
Alirezaei, Sepideh .
AUTOMATION IN CONSTRUCTION, 2022, 141
[3]   Requirements for cloud-based BIM governance solutions to facilitate team collaboration in construction projects [J].
Alreshidi, Eissa ;
Mourshed, Monjur ;
Rezgui, Yacine .
REQUIREMENTS ENGINEERING, 2018, 23 (01) :1-31
[4]  
[Anonymous], 2011, P 2011 2 INT C ENG P
[5]  
Azman N S., 2018, International Journal of Engineering and Technology(UAE), DOI DOI 10.14419/IJET.V7I4.35.22751
[6]   Using BIM in the safety risk management of modular construction [J].
Chatzimichailidou, Mikela ;
Ma, Yue .
SAFETY SCIENCE, 2022, 154
[7]   A BIM-based construction quality management model and its applications [J].
Chen, LiJuan ;
Luo, Hanbin .
AUTOMATION IN CONSTRUCTION, 2014, 46 :64-73
[8]   Optimized decision support for BIM maturity assessment [J].
Chen, Zhen-Song ;
Zhou, Meng-Die ;
Chin, Kwai-Sang ;
Darko, Amos ;
Wang, Xian-Jia ;
Pedrycz, Witold .
AUTOMATION IN CONSTRUCTION, 2023, 149
[9]  
Cooper R., 2008, Process management in design and construction
[10]  
Daniotti B., 2019, Springer Tracts in Civil Engineering, P71