Design and implementation PM2.5 station for model school with IoT on Google Data Studio
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Abstract
This article presents the design and construction of an IoT measuring station with an IoT system, to be displayed on Google Data Studio, designed and implemented with an IoT for measuring and alarming PM2.5 dust content.By the ESP8266 board, a PM2.5 dust sensor, a temperature and CO gas. The results of the percentage difference of PM2.5 dust measurement results were 39.06 26.56 23.43 14.06 13.95 and 12.72 micrograms per cubic meter. The measurement results recorded in Google sheet for collecting the PM2.5 measurement results were 4 -11 micrograms per cubic meter. The temperature and relative humidity measurement results were 33, 40, 40, 36, 35 and 34 degrees, and the humidity was related to the same trend, and the CO measurement results were 120 132 123 142 162 140 ppm and the mean was 136.5 ppm. The test results and compared trends in the same direction. The research result is an extension of the installation area to determine the plan. The ppolicy for reducing PM2.5 dust during winter and drought.
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