The development of air quality Wireless Sensor Network for indoor PM10 and PM2.5 prediction model

This study developed a system for Air Quality Wireless Sensoring Network (AQWSN), which is used to monitor the PM2.5 and PM10 concentration from indoor and outdoor. And this study built an Indoor Air Quality Model (IAQM) to predict indoor PM2.5 and PM10 by monitoring the real sites for the concentration of PM2.5 and PM10. After that we use the mean absolute percentage error (MAPE) and American society for testing and materials (ASTM) to verify the accuracy of IAQM. The results show that using the model of hourly prediction with the discontinuous time parameter have an excellent result of prediction for indoor PM2.5 and PM10. On the other side, the model of daily prediction with the continuous time parameter and hourly average ventilation rate has an excellent result in real space.