Simulación de Gemelos Digitales para el Control de Calidad del Aire en Espacios Públicos

Abstract

The focus of this article is on showing how air quality simulations based on Digital Twins, integrating low-cost simulation technologies like Wokwi and Microsoft Azure's cloud infrastructure, can predict and visualize pollution levels in critical public spaces, such as hospital settings and urban parks. The proposed approach is based on the design of the Internet of Things (IoT), where the Wokwi simulator mimics the behavior of ESP32 microcontrollers paired with particle and gas sensors, while Microsoft Azure serves as the central ecosystem for processing, storing, and analyzing the data collected through Azure IoT Hub and Azure Digital Twins. The most significant conclusion reached shows that precise two-way synchronization is achieved between the virtual simulation environment and the digital model in the cloud Corporates make it easier to design urban mitigation strategies without having to spend on expensive physical hardware during early validation stages. The proposed application is a scalable, replicable, and highly efficient way to plan smart cities with environmental sustainability and public health in mind, using high-fidelity synthetic data to maximize tech decision-making.