Air quality index adaptive prediction voice system

Abstract

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.

Description

technical field [0001] The invention relates to the technical field of air quality detection, in particular to an air quality index adaptive prediction voice system. Background technique [0002] At present, our country is in a stage of rapid economic development, and people's material living standards are constantly improving. However, the environment closely related to our life is deteriorating day by day. Environmental pollution has also become one of the severe challenges facing our country. In recent years, air pollution has not only caused immeasurable impact on people's daily life and work, but also caused great damage to people's health. However, traditional air quality monitoring mainly relies on meteorological stations, which mostly reflect the average level of a region, and cannot reflect the air quality of a person's local space in real time. [0003] With the development of various sensors, the concentration monitoring of various gases in the environment has ...

AI Technical Summary

Problems solved by technology

At present, there are also some small weather observation boxes, but the price is generally high and the volume is large, which is not suitable for personal carrying and use. At the same time, the monitoring accuracy needs to be improved, and some monitoring content involved in it lacks much reference significance in many cases. Component utilization is not high

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