Multi-modal fusion-based air quality prediction system and prediction method

The invention belongs to the technical field of air quality monitoring and prediction, and particularly relates to an air quality prediction system and method based on multi-modal fusion. According to the method, an air-ground model formed by an unmanned aerial vehicle-monitoring station is utilized, picture information, shot by the unmanned aerial vehicle, of a monitoring area is transmitted to a ground monitoring station through wireless communication, and the ground monitoring station predicts the air quality through an air quality prediction model based on multi-modal fusion. And inputting a locally collected time sequence and transmitting the obtained unmanned aerial vehicle shot pictures and external factors, and finally obtaining the output of the model, namely a prediction result. According to the method, the air and ground information of the same region can be fully fused to obtain a more accurate prediction result, the problem of model precision caused by insufficient data volume of a ground detecti