The invention discloses an
air quality index adaptive prediction voice
system. According to the method, an
Arduino development board serves as a core. The method comprises the steps of firstly, training a large amount of historical data is trained through multivariate
linear regression analysis to obtain a preliminary regression model; secondly, acquiring PM2.5, temperature and
carbon monoxide concentration data formed in air in a specific area by adopting related sensors; inputting data into a regression model after normalization and other
processing to obtain a prediction value of the air quality, in addition, inputting the whole model into a retraining model as historical data through an
adaptive learning mechanism after a certain amount of data is collected each time, the prediction model is continuously optimized, and the prediction precision is guaranteed; an HC-05
Bluetooth module can be utilized; a user can check the current related
gas concentration and the air forecast quality condition in real time on communication equipment such as a
mobile phone, in addition, by inquiring a set statement built in the LD3320 voice recognition module, a set response statement of the SYN6288 voice broadcast module can be obtained, and the purpose of intelligent man-
machine interaction is achieved.