Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies
ISSN: 1471-4175
Article publication date: 14 November 2022
Issue publication date: 10 April 2024
Abstract
Purpose
Rebar is the prime component of reinforced concrete structures, and rebar monitoring is a time-consuming and technical job. With the emergence of the fourth industrial revolution, the construction industry practices have evolved toward digitalization. Still, hesitation remains among stakeholders toward the adoption of advanced technologies and one of the significant reasons is the unavailability of knowledge frameworks and implementation guidelines. This study aims to investigate technical factors impacting automated monitoring of rebar for the understanding, confidence gain and effective implementation by construction industry stakeholders.
Design/methodology/approach
A structured study pipeline has been adopted, which includes a systematic literature collection, semistructured interviews, pilot survey, questionnaire survey and statistical analyses via merging two techniques, i.e. structural equation modeling and relative importance index.
Findings
The achieved model highlights “digital images” and “scanning” as two main categories being adopted for automated rebar monitoring. Moreover, “external influence”, “data-capturing”, “image quality”, and “environment” have been identified as the main factors under “digital images”. On the other hand, “object distance”, “rebar shape”, “occlusion” and “rebar spacing” have been highlighted as the main contributing factors under “scanning”.
Originality/value
The study provides a base guideline for the construction industry stakeholders to gain confidence in automated monitoring of rebar via vision-based technologies and effective implementation of the progress-monitoring processes. This study, via structured data collection, performed qualitative and quantitative analyses to investigate technical factors for effective rebar monitoring via vision-based technologies in the form of a mathematical model.
Keywords
Acknowledgements
In the accomplishment of this study, technical support has been provided by Dr Muhammad Amin (Department of Management and Humanities, Universiti Teknologi PETRONAS, Malaysia), and Dr Ahmed Farouk Kineber (Prince Sattam bin Abdulaziz University, Riyadh, Saudi Arabia). This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Citation
Qureshi, A.H., Alaloul, W.S., Wing, W.K., Saad, S., Alzubi, K.M. and Musarat, M.A. (2024), "Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies", Construction Innovation, Vol. 24 No. 3, pp. 770-789. https://doi.org/10.1108/CI-04-2022-0076
Publisher
:Emerald Publishing Limited
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