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

Date

2025-01-01

Author

Alioğlu, Alper
Eren, Yavuz

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Circular Economy, Geospatial Intelligence, IoT, Multi-Scale Digital Twins, Real-Time Data Integration, Smart Cities

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105015495616&origin=inward
https://hdl.handle.net/11511/115816

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Department of Electrical and Electronics Engineering, Conference / Seminar