An intelligent indoor air quality monitoring system

The Internet of Things (IoT) is experiencing significant market growth thanks to advancements in electronic sensors, microprocessors, communication, and information media. With billions of devices interconnected , the potential for IoT applications is immense. This paper proposes an architecture for air quality monitoring systems based on IoT and Big Data technologies, providing tools, resources, and functionalities related to embedded systems, communication, processing, storage, data analysis, web, business, and security features. Furthermore, integrating IoT with Big Data enables the application of predictive models and machine learning algorithms to anticipate pollution fluctuations and proactively adjust ventilation systems. This predictive intelligence not only enhances occupant comfort and health by maintaining optimal indoor air quality but also improves energy efficiency by adjusting ventilation to meet actual needs.