I.V. Chukhraev1, I.A. Krysin2, M.M. Perelmuter3

1,2 Kaluga Branch of Bauman Moscow State Technical University (Kaluga, Russia)

3 LLC "Digital twin of the city" (Kaluga, Russia)

1 chukhraev@bmstu.ru, 2 ivan@bmstu.ru, 3 m.perelmuter@kross-ltd.ru

The article explores the key role of geoinformation systems as a technological foundation for the formation and operation of a city's digital twin. Geoinformation systems provide the necessary tools for collecting, spatially referencing, analyzing, and visualizing heterogeneous urban data, acting as a link between the physical infrastructure and its virtual representation. The article examines the architectural principles of integrating geoinformation systems into the microservice platform of a city's digital twin, as well as the methods of semantic harmonization of geodata based on ontologies (OWL, CityGML) and their role in building a unified information space for the city. Special attention is paid to the application of geoinformation systems for solving applied tasks in urban management, from predictive analysis of utility network deterioration using machine learning algorithms (GeoAI) to multi-criteria modeling of spatial development scenarios. The article develops the concepts presented in the authors' previous works, demonstrating that geoinformation systems are transforming from a mapping tool into an analytical core for real-time decision support, thus enabling the transition to the "city as a service" model.

Chukhraev I.V., Krysin I.A., Perelmuter M.M. Role of geoinformation systems in modeling digital twin of the city. Information-measuring and Control Systems. 2026. V. 24. № 2. P. 24−28. DOI: https://doi.org/10.18127/j20700814-202602-04 (in Russian)

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