Published on 27 Feb 2024

Award of MOE Tier 1 Call 2/2023 - Assistant Professor Fu Yuguang

Congratulations to Assistant Professor Fu Yuguang on the award of MOE Tier 1 Call 2/2023 for his project:
Human Digital Twin Prototype of Industrial Worker Under Heat Exposure in Climate Change and Post-Pandemic Era.


Project Write-up


In 2022, Singapore's Ministry of Manpower (MOM) reported over 9,000 breaches of workplace safety regulations, twice the previous year's total. This increase stems from pandemic-induced workforce shortages and demanding schedules, resulting in more accidents due to compounded factors. Moreover, Singapore's projected climate change anticipates a temperature rise of 1.4°C to 4.6°C by the close of the century. This puts workers at risk of heat-related injuries, underscoring the necessity for a Work Safety and Health (WSH) ethos. Multiple factors, including heat stress, negatively affect employees in Singapore's hot and humid conditions. Prioritising monitoring of all-environmental heat exposure is critical, given the predominant focus on indoor environments. With Industry 5.0 integrating technology, AI, and human engagement, concentrating on workers’ well-being, safety, and efficiency becomes increasingly paramount. Discussions with MOM/WSHI have exposed a gap in aligning workers and digitalisation. This integration is pivotal for effective management of industrial projects.

This project aims to tackle intricate challenges via advanced modelling, digitising human physiology for worker health evaluation, and investigating the Human Digital Twin for system resilience. Existing heat strain models lack dynamic simulation due to data-driven or empirical origins. This project seeks to bridge this gap, examining whether the creation of cyber replicas of workers aids in predicting and managing risky actions more effectively. Three principal research questions guide the project: (1) Can the connection between heat stress and strain be comprehended spatially and temporally for workers in service? (2) Can real-time sensor data identify patterns for evaluating human reliability during heat exposure? (3) Can digital-twin based simulation enhance system resilience and offer recommendations for preventing heat-related accidents? It is by first time introduce human digital twins for workplace safety and health and provides guidance for evaluating interventions, ultimately, enhancing safety and productivity in Singapore and abroad.