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Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies

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 stakeho...

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Main Authors: Qureshi, A.H., Alaloul, W.S., Wing, W.K., Saad, S., Alzubi, K.M., Musarat, M.A.
Format: Article
Published: Emerald Publishing 2022
Online Access:http://scholars.utp.edu.my/id/eprint/33874/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141575172&doi=10.1108%2fCI-04-2022-0076&partnerID=40&md5=cee532ab6d06ed6aa96c738057a9e173
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spelling oai:scholars.utp.edu.my:338742022-12-20T03:42:16Z http://scholars.utp.edu.my/id/eprint/33874/ Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies Qureshi, A.H. Alaloul, W.S. Wing, W.K. Saad, S. Alzubi, K.M. Musarat, M.A. 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. © 2022, Emerald Publishing Limited. Emerald Publishing 2022 Article NonPeerReviewed Qureshi, A.H. and Alaloul, W.S. and Wing, W.K. and Saad, S. and Alzubi, K.M. and Musarat, M.A. (2022) Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies. Construction Innovation. ISSN 14714175 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141575172&doi=10.1108%2fCI-04-2022-0076&partnerID=40&md5=cee532ab6d06ed6aa96c738057a9e173 10.1108/CI-04-2022-0076 10.1108/CI-04-2022-0076 10.1108/CI-04-2022-0076
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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. © 2022, Emerald Publishing Limited.
format Article
author Qureshi, A.H.
Alaloul, W.S.
Wing, W.K.
Saad, S.
Alzubi, K.M.
Musarat, M.A.
spellingShingle Qureshi, A.H.
Alaloul, W.S.
Wing, W.K.
Saad, S.
Alzubi, K.M.
Musarat, M.A.
Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies
author_facet Qureshi, A.H.
Alaloul, W.S.
Wing, W.K.
Saad, S.
Alzubi, K.M.
Musarat, M.A.
author_sort Qureshi, A.H.
title Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies
title_short Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies
title_full Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies
title_fullStr Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies
title_full_unstemmed Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies
title_sort factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies
publisher Emerald Publishing
publishDate 2022
url http://scholars.utp.edu.my/id/eprint/33874/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141575172&doi=10.1108%2fCI-04-2022-0076&partnerID=40&md5=cee532ab6d06ed6aa96c738057a9e173
_version_ 1753790748083355648
score 13.211869

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