Open AccessInvestigation of the influence of relative humidity and temperature on the IOT solution with low cost air quality monitoring
Author(s) -
Ivan Vajs,
D Dragić,
Ilija Radovanović
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.24094/mkoiee.020.8.1.261
Subject(s) - relative humidity , reliability (semiconductor) , environmental science , compensation (psychology) , humidity , approximation error , air quality index , reliability engineering , computer science , automotive engineering , meteorology , engineering , psychology , power (physics) , physics , algorithm , quantum mechanics , psychoanalysis
Due to the rising air pollution in densely populated areas, the need for reliable and cost-effective air monitoring systems is on the rise. Low-cost off-the-shelf air quality sensors available on the market provide a good starting point as they are readily available and inexpensive but fall short when it comes to accuracy and reliability. In this paper, the influence of relative humidity and temperature on the accuracy of these sensors is analyzed. Different types of statistical models are used in order to model the measuring error of the sensors caused by relative humidity and temperature. Obtained results show that the accuracy of the off-the-shelf system can be improved by adequate compensation and a more reliable, yet inexpensive air monitoring systems could be implemented.