Integrative Data Architectures for Seamless Digital Twin Implementation across Smart City Infrastructure

Abstract

The advent of digital twin technology has revolutionized the way we perceive, design, and manage urban environments. As cities continue to embrace smart infrastructure and the Internet of Things (IoT), the need for seamless integration and interoperability of data architectures becomes paramount. This research delves into the intricacies of developing integrative data architectures that facilitate the seamless implementation of digital twins across smart city infrastructure. By examining the challenges posed by heterogeneous data sources, disparate systems, and the complexity of urban environments, we aim to propose a comprehensive framework that ensures efficient data flow, secure information exchange, and effective decision-making processes. Through a meticulous analysis of existing architectures, emerging technologies, and real-world case studies, this research endeavors to pave the way for a future where digital twins serve as indispensable tools for urban planning, resource management, and citizen-centric services.