MipMap Digital Twin: A Scalable IoT-Based Framework for Smart Cities and Circular Economy

As cities grow, managing urban infrastructure efficiently becomes a challenge. Digital Twin (DT) technology, combined with IoT, GIS, and AI-driven analytics, enables real-time monitoring, predictive analysis, and automated optimization of urban systems. A DT is a virtual model of a physical system that stays in sync with the real world, providing a deeper understanding of environment operations, supporting smarter decision-making and dynamic infrastructure management. This paper presents the first-stage results of a MipMap digital twin application, integrating a production facility and multiple café locations into a shared digital twin. The study explores bridging urban-scale decision-making with day-to-day operations, utilizing IoT, ESRI's ArcGIS, and a game engine-based visualization. Results demonstrate improved service quality, resource optimization, and system integration, advancing smart urban ecosystems.