Open AccessDesign of PM2.5 Air Quality Detection System based on Median Value Average Filtering Algorithm and OLED Screen
Author(s) -
Xinwei Zhang,
Longqing Zhang,
Shu Gong,
Lijun Tian,
Yanghong Zhang,
Lei Yang,
Jia Zhong-ning
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/450/1/012013
Subject(s) - air quality index , stability (learning theory) , computer science , algorithm , oled , environmental science , real time computing , meteorology , materials science , physics , layer (electronics) , composite material , machine learning
Environmental pollution problems are becoming more and more serious, air pollution and air quality problems, has become a hot spot of special concern. PM2.5 is an important indicator of air quality testing .This design uses GP2Y1010AUOF dust sensor,SHT20 temperature and humidity sensor and so on, transmit the signal to ATMEGA328PAUM SCM. The system detects the detection through the analog to digital conversion and median value average filtering algorithm. The PM2.5 Concentration values are displayed to OLED screen, alert if the detection value exceeds the standard. Experiments show that the system is running well, with a measurement accuracy of 4.8%, and has a certain stability and practicality.