Digital Twin-Based Health Maps for Construction Worker Health Monitoring: Assessing Feasibility and Viability

The construction industry is known for its disproportionately high fatality and injury rates, making it one of the most hazardous industries in the US. Despite the significant risks involved, there is a lack of effective health monitoring in construction jobsites. While wearable physiological sensing and artificial intelligence advancements have introduced unique opportunities to assess workers' health status, there are still inefficiencies in representing that information to support managers' decision-making. Recently, the concept of digital twin (DT) has been used in various construction applications. Given the exponential growth of its enabling technologies, DT has great potential to transform worker health monitoring in construction jobsites. Therefore, this research investigates the feasibility of integrating workers' physiological responses with DT technology to generate health maps that deliver workers' aggregated health information to managers to reinforce their decision-making. The DT-based health maps are expected to enhance workers' occupational health and safety at construction jobsites.