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

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.

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Publication Details

Journal
Buildings
Published
2024-10-13
DOI
https://doi.org/10.3390/buildings14103242
Citations
6
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
1.59
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article

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

Jiang Lei, Qingchun Wang, Xingwen Chen, Hongda An et al.
6 citations
Buildings
BIM and Construction Integration
1.59
article

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

Jiang Lei, Qingchun Wang, Xingwen Chen, Hongda An, Yunli Gao
article en
6 citations

Abstract

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.

BuildingsVol. 14(10)
Dalian Minzu University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
BIM and Construction Integration
1.59
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Cloud Model-Based Intelligent Construction Management Level Assessment of Prefabricated Building Projects — Jiang Lei, Qingchun Wang, et al. · Buildings (2024) | TGRS Research Map | TGRS