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

被引:0
|
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 50 条
  • [41] Construction and application of risk assessment model for prefabricated construction quality
    Chen, Rongfang
    Jiang, Anmin
    Dong, Yanchen
    Xiong, Qiwei
    Lu, Yinrui
    Journal of Railway Science and Engineering, 2021, 18 (10) : 2788 - 2796
  • [42] Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects
    Zhao, Linlin
    Liu, Zhansheng
    Mbachu, Jasper
    SENSORS, 2019, 19 (19)
  • [43] Conceptual Model of Building Information Modelling Usage for Knowledge Management in Construction Projects
    Ozturk, Gozde Basak
    Yitmen, Ibrahim
    3RD WORLD MULTIDISCIPLINARY CIVIL ENGINEERING, ARCHITECTURE, URBAN PLANNING SYMPOSIUM (WMCAUS 2018), 2019, 471
  • [44] Cloud model-based subjective trust management model for grid users
    Wei K.
    Liu X.-X.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2011, 39 (02): : 81 - 87+94
  • [45] Intelligent Model-based Integrity Assessment of Nonstationary Mechanical System
    Chen, Hanxin
    Miao, Yuzhuo
    Chen, Yongting
    Fang, Lu
    Zeng, Li
    Shi, Jun
    JOURNAL OF WEB ENGINEERING, 2021, 20 (02): : 253 - 280
  • [46] RETRACTED: Layout Simulation of Prefabricated Building Construction Based on the Markov Model (Retracted Article)
    Jiao, Xin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [47] Intelligent Materials Tracking System for Construction Projects Management
    Kasim, Narimah
    JOURNAL OF ENGINEERING AND TECHNOLOGICAL SCIENCES, 2015, 47 (02): : 218 - 230
  • [48] A multidimension cloud model-based approach for water quality assessment
    Wang, Dong
    Zeng, Debiao
    Singh, Vijay P.
    Xu, Pengcheng
    Liu, Dengfeng
    Wang, Yuankun
    Zeng, Xiankui
    Wu, Jichun
    Wang, Lachun
    ENVIRONMENTAL RESEARCH, 2016, 149 : 113 - 121
  • [49] Exploitation of cloud computing in management of construction projects in Slovakia
    Mandicak, Tomas
    Mesaros, Peter
    Kozlovska, Maria
    ORGANIZATION TECHNOLOGY AND MANAGEMENT IN CONSTRUCTION, 2016, 8 (01): : 1456 - 1463
  • [50] Cloud Model-Based Intelligent Evaluation Method in Marine Engine Room Simulator
    Cao, Hui
    Zhang, Jundong
    IEEE ACCESS, 2020, 8 : 168502 - 168515