Technical Papers
Sep 25, 2023

Proximity Activity Intensity Identification System in Hot and Humid Weather Conditions: Development and Implementation

Publication: Journal of Construction Engineering and Management
Volume 149, Issue 12

Abstract

Construction workers are exposed to heat stress risks due to the combined effects of hot and humid weather conditions (HHWCs) and physically demanding work. A real-time activity intensity identification (AII) is required to measure the impact of HHWCs using a nonintrusive approach. This research developed a real-time AII system based on computer vision analysis (CVA). It then combined the CVA system with real-time video recordings to approximate workers’ activity intensity (AI) levels alongside HHWC records. A fundamental activities matrix was developed to build a list of measurable and identifiable features of site activities. These features were used to identify and link different postures to a crew’s AI and safety status within a given context. In real-site conditions, the AII system instantly and unobtrusively approximated workers’ AI and safety status under HHWCs. The system showed high detection performance with competitive deployment time, cost, and effort, outperforming previous related models. The results showed that formwork and steelwork are mostly moderate activities; however, moderate AI and HHWCs can create heat stress and fatigue and significantly affect workers’ safety, resulting in heat-related injuries and accidents. This research gives researchers and practitioners insight into the challenges associated with measurement methods and solving practical site measurement issues. This research promotes innovative methods for real-site measurements and contributes to knowledge in the field of safety and productivity in the construction industry by employing new, innovative CVA technology. This technology has applications in the industry by deploying a practical tool that could support aligned improvement in the safety and productivity of construction workers working under HHWCs.

Practical Applications

The challenges of automated and real-time measurements have always been of great interest to construction safety and productivity practitioners, particularly measurements of nonintrusive systems and competitive deployment time, cost, and effort. Such problems have also resulted in a substantial delay in making safety- and productivity-related decisions, which are major reasons for the increasing number of hot and humid weather–related injuries and incidents, particularly with the growing threat of global warming. Furthermore, under HHWCs, construction companies have also incurred significant productivity losses. This study offers an automated, nonintrusive, real-time measuring system with competitive deployment time, cost, and effort to monitor activity intensity and weather-related risks. Hence, site decision makers can make timely safety- and productivity-related decisions to improve work safety and productivity.

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Data Availability Statement

Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request. Site information that could lead to the disclosure of the identity of the construction projects, companies, and workers has been restricted according to human ethics approval for this research.

Acknowledgments

The authors would like to acknowledge the Queensland University of Technology (QUT) for providing a Ph.D. scholarship to facilitate this research. They also acknowledge the QUT’s High-Performance Centre (HPC) for providing access to ample data storage and computational resources. The authors are very thankful to Dr. Miljenka Perovic and Mr. Nathan Sianidis for their support in data collection.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 149Issue 12December 2023

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Received: Nov 13, 2022
Accepted: Jul 10, 2023
Published online: Sep 25, 2023
Published in print: Dec 1, 2023
Discussion open until: Feb 25, 2024

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Ammar S. M. Moohialdin, Ph.D.
Quality Management System (QMS) and International Organization for Standardization (ISO) Lead Auditor, Associate Fellow of the Higher Education Academy (HEA), Quality Assurance Manager, Dept. of Quality Assurance, Dy-Mark Australia Pty Ltd., 30 Bernoulli St., Darra, QLD 4076, Australia.
Senior Lecturer, School of Architecture and Built Environment, Faculty of Engineering, Queensland Univ. of Technology, Brisbane, QLD 4000, Australia. ORCID: https://orcid.org/0000-0003-4267-0267
Senior Lecturer, School of Civil and Environmental Engineering, Faculty of Engineering, Queensland Univ. of Technology, Brisbane, QLD 4000, Australia. ORCID: https://orcid.org/0000-0001-9265-3698
Bambang Trigunarsyah, Ph.D., M.ASCE https://orcid.org/0000-0001-6799-4781 [email protected]
Associate Professor, School of Property, Construction, and Project Management, College of Design and Social Context, RMIT Univ., Melbourne, VIC 3000, Australia (corresponding author). ORCID: https://orcid.org/0000-0001-6799-4781. Email: [email protected]; [email protected]

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