Digital Twin-Based Modeling of Real-World Objects Utilized in the Senior Housing Project

Abstract

The rapid advancement of digital technologies has significantly transformed various sectors, including urban development and elderly care. Among these innovations, Digital Twin technology emerges as a revolutionary tool that bridges the physical and digital worlds by creating dynamic virtual representations of real-world entities. This study explores the integration of Digital Twin technology in senior housing projects to improve the quality of life for the elderly while enhancing operational efficiency. By leveraging the Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing, this research demonstrates how Digital Twin models can facilitate real-time monitoring, predictive analysis, and efficient resource management. The implementation of IoT sensors within a senior housing environment enables proactive safety measures, optimized energy usage, and enhanced healthcare interventions. Through simulations and real-time data analytics, the study validates the model’s effectiveness in fostering a safer, smarter, and more responsive living environment for aging populations. The findings contribute to the growing discourse on smart city technologies and highlight Digital Twin technology as a scalable and sustainable solution for elderly care and urban infrastructure management.