Comparing the efficiency and accuracy of air quality monitoring methods is an important aspect to ensure the protection of the environment and the health of citizens. In this study, we developed a project to measure air quality in several areas using Internet-connected devices built with Arduino and a standardised device such as AirVisual. To evaluate the accuracy and performance of the two monitoring methods, we collected data including humidity levels, temperature, and PM 2.5 (particulate matter) from both devices. Through the analysis of these data, we compared and evaluated the changes in air quality and the performance of the two methods in real time. The results of our study provide a deep understanding of the compatibility and accuracy of different air quality monitoring methods and contribute to the development of knowledge in this field. This study points out the importance of using IoT technology for air quality monitoring and the opportunities for improving existing monitoring methods.
Keywords: AirVisual, IoT, air quality, arduino, data, low cost devices
