Construction worker fatigue load management using IoT heart rate sensing system

Construction worker fatigue load management using IoT heart rate sensing system LunWang Wu, HuiPing Tserng, XiuZhen Huang Pages 413-419 (2024 Proceedings of the 41st ISARC, Lille, France, ISBN 978-0-6458322-1-1, ISSN 2413-5844) Abstract: Many studies consider excessive fatigue as one of the reasons for accidents among construction workers, especially in special hazardous work environments such as working at heights, heavy physical labor, and confined spaces. Unfortunately, due to factors such as complex environments, unstable equipment, and frequent movement of workers, there is little research on safety management of confined spaces and fatigue loading of construction workers in the construction industry. Therefore, this study developed an Internet of Things (IoT) heart rate sensing system, which has been verified in the real field and can be applied to the physical and mental health management of tunnel workers in the construction industry. In addition, a fatigue interval fitting model for construction workers was established by applying the percentage of heart rate reserve (%HRR). The maximum value of the anticline point %HRR in the model was defined as the fatigue alert value for construction workers, which facilitates project managers to monitor the abnormal conditions of workers' physiological load in a timely manner. Keywords: Worker Fatigue Load, Confined Space, Internet of Things Heart Rate Sensing System, %HRR DOI: https://doi.org/10.22260/ISARC2024/0054 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley