Conceptual Architecture of the System for Optimizing the Network of Air Quality Monitoring Stations in Smart Cities

A modular architecture of an Intelligent Information System (IIS) is proposed for optimizing the network of air quality monitoring stations in smart cities. The architecture employs IoT and Data Science technologies to implement environmental monitoring functions, illustrating key elements and their interconnections. The concept highlights the importance of strategic planning and technology selection to build a scalable and efficient system. The system enables the collection, analysis, and interpretation of air quality data, facilitating informed decisions to improve environmental conditions and enhance citizens' quality of life. Furthermore, the architecture integrates analytical modules aimed at data analysis and forecasting. Scalability and flexibility ensure the system adapts to new requirements and technological trends. These solutions provide a foundation for long-term strategic planning to improve air quality.