Novel digital twin for workplace safety and health

• Main Author: Lai, Yu Kai
• Other Authors: Fu Yuguang
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Digital twin; Workplace health and safety; Health; Safety; Wearables
• Online Access: https://hdl.handle.net/10356/177321
• Institution: Nanyang Technological University

As temperatures rise globally, occupations that are in an external outdoor environment face the threat of increasing risk of heat related injuries. Previous work has been focused on indoor thermal comfort, however, not much has been done for the external environment. This study attempts to study the thermal behaviour and rate of perceived exertion amongst construction workers. It has collected subjective surveys from participants involved, which were then matched with environmental and physiological variables collected throughout the period of study. The data is then trained through machine learning models to predict the point where participants would hit their thermal threshold and rate of perceived exertion threshold. It also shares the challenges of the data collection for a construction site.