Leveraging Diverse Data Sources for ESTP Campus Digital Twin Development: Methodology and Implementation

In recent years, the concept of a digital twin has gained significant attention as a powerful tool for managing and optimizing complex systems. A digital twin is a virtual representation that mirrors the physical characteristics, behavior, and dynamics of a real-world system [1]. By integrating diverse data sources, such as Internet of Things (IoT) sensors, Geographic Information Systems (GIS), building management systems, and individual experience, a digital twin provides an accurate and comprehensive digital replica of the system [2]. This paper aims to present a methodology and implementation approach for developing a campus digital twin by leveraging diverse data sources. Our research addresses the challenge of integrating disparate data streams to create a holistic digital representation of the campus environment. By collecting and integrating data from various sources, we construct a digital twin that involves representative information, enabling a comprehensive understanding of the campus’s behavior and facilitating data-driven decision-making.