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基于特征的建设项目有效自动监测参数框架

Characteristics-Based Framework of Effective Automated Monitoring Parameters in Construction Projects.

作者信息

Qureshi Abdul Hannan, Alaloul Wesam Salah, Wing Wong Kai, Saad Syed, Ammad Syed, Altaf Muhammad

机构信息

Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan Malaysia.

出版信息

Arab J Sci Eng. 2023;48(4):4731-4749. doi: 10.1007/s13369-022-07172-y. Epub 2022 Aug 20.

DOI:10.1007/s13369-022-07172-y
PMID:36032406
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9392498/
Abstract

The construction industry is moving toward digitalization, and technologies support various construction processes. In the automated construction progress monitoring domain, several modern progress measurement techniques have been introduced. However, a hesitant attitude has been observed toward its adoption. Researchers have highlighted lack of theoretical understanding of effectual implementation is one of the significant reasons. This study aims to analyze general technological parameters related to automated monitoring technologies and devise a theoretical-based conceptual framework explaining the aspects affecting the adequate operation of automated monitoring. The study has been executed by following a systematic inline process for the identification of effective parameters, which include a structured literature review, semi-structured interviews, pilot survey, questionnaire survey, and structural equation modeling (SEM)-based mathematical model. A refined conceptual framework has been devised with 21 effective parameters under five significant categories, i.e., "Target Object," "Technical," "External Interference," "Occlusions," and "Sensing." A knowledge framework has been established by adopting the SEM technique, which is designed on the characteristics-based theme. This conceptual framework provides the theoretical base for practitioners toward the conceptual understanding of automated monitoring processes related to technological parameters that affect the outcomes. This study is unique as it focused on the general criteria or parameters that affect the performance or outcomes of the digital monitoring process and is easily understandable by the user or operator.

摘要

建筑行业正在朝着数字化方向发展,并且技术支持各种建筑过程。在自动化施工进度监测领域,已经引入了几种现代进度测量技术。然而,人们对采用这些技术持犹豫态度。研究人员强调,缺乏对有效实施的理论理解是一个重要原因。本研究旨在分析与自动化监测技术相关的一般技术参数,并设计一个基于理论的概念框架,以解释影响自动化监测正常运行的各个方面。该研究通过遵循一个系统的内联过程来识别有效参数,其中包括结构化文献综述、半结构化访谈、试点调查、问卷调查以及基于结构方程模型(SEM)的数学模型。已经设计了一个完善的概念框架,其中包含五个重要类别下的21个有效参数,即“目标对象”“技术”“外部干扰”“遮挡”和“传感”。通过采用SEM技术建立了一个基于特征主题设计的知识框架。这个概念框架为从业者提供了理论基础,有助于他们从概念上理解与影响结果的技术参数相关的自动化监测过程。本研究的独特之处在于它关注影响数字监测过程性能或结果的一般标准或参数,并且用户或操作员很容易理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/920393503044/13369_2022_7172_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/d3739130a944/13369_2022_7172_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/f4bc74ee78b6/13369_2022_7172_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/3ce7b50be270/13369_2022_7172_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/781e1dbca5b0/13369_2022_7172_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/04154a80b937/13369_2022_7172_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/920393503044/13369_2022_7172_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/d3739130a944/13369_2022_7172_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/f4bc74ee78b6/13369_2022_7172_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/3ce7b50be270/13369_2022_7172_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/781e1dbca5b0/13369_2022_7172_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/04154a80b937/13369_2022_7172_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d471/9392498/920393503044/13369_2022_7172_Fig6_HTML.jpg

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