Air Quality Monitoring System Based on LPWAN and AQI Index Predictions
Aiming at the problems of large power consumption,poor anti-interference ability,low stability and insufficient prediction accuracy of AQI(air quality index)of traditional air quality monitoring system,an air quality monitoring system integrating low-power wide-area IoT LPWAN,One-NET cloud platform and gated recurrent unit was designed.The system adopted a hybrid mode power supply based on photovoltaics and supplemented by mains power.Long-distance radio LoRa technology was used to collect environmental parameters,and the cloud platform technology and SSA-VMD-GRU(sparrow search algorithm-variational mode decomposition-GRU)coupling model were integrated to realize remote monitoring and prediction of AQI index.Through the communication test,the results showed that within the communication distance of 1 000 meters,the communication rate was above 96％,and the packet loss rate was not more than 4％.The results showed that the SSA-VMD-GRU model had a better prediction effect on AQI index than the traditional GRU model and VMD-GRU model,the root mean square error decreased by 22.434 and 0.833,the mean absolute error decreased by 16.849 and 0.623,respectively,and the prediction error rate was within 3％.The system can realize real-time monitoring of air quality and accurate prediction of AQI index,providing reference for accurate issuance of air quality warnings.
low-power wide-area internet of thingsAQI index forecastSSA-VMD-GRU modelmonitoring systemsphotovoltaic power supply
万方数据
维普
