Novel digital twin for workplace safety and health
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...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177321 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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