Abstract
Air pollution is a social problem, because the harmful suspended materials can cause diseases and deaths to humans. Specifically, particulate matters (PM), a form of air pollution, can contribute to cardiovascular morbidity and lung diseases. Nowadays, humans are exposed to PM pollution everywhere because it occurs in both indoor and outdoor environments. To purify or ventilate polluted air, one need to accurately monitor the ambient air quality. Therefore, this study proposed a practical particulate matter sensing and accurate calibration system using low-cost commercial sensors. The proposed system basically uses noisy and inaccurate PM sensors to measure the ambient air pollution. This paper mainly deals with three types of error caused in the light scattering method: short-term noise, part-to-part variation, and temperature and humidity interferences. We propose a simple short-term noise reduction method to correct measurement errors, an auto-fitting calibration for part-to-part repeatability to pinpoint the baseline of the signal that affects the performance of the system, and a temperature and humidity compensation method. This paper also contains the experiment setup and performance evaluation to prove the superiority of the proposed methods. Based on the evaluation of the performance of the proposed system, part-to-part repeatability was less than 2 μg/m3 and the standard deviation was approximately 1.1 μg/m3 in the air. When the proposed approaches are used for other optical sensors, it can result in better performance.
Highlights
As the quality of life has improved in many countries, interest and knowledge about particulate air pollution such as particulates is increasing, and cutting-edge technologies and products such as air purifiers and air quality monitoring systems are being launched in the market
To minimize the short-term noise and calibrate the baseline from part-to-part variation, we proposed a system that calculates the concentration of the particulate matters (PM) every second
It is common to use light scattering based on IR LED and Laser for IoT devices and electronic targets such as household air purifiers and handheld air quality monitoring systems
Summary
Particulate air pollution such as yellow dust and fine dust is getting serious every year in many countries across Asia, the Middle East, Africa, and Europe. Such particulate air pollution is caused by automobiles, thermal power plants, combustion of coal, sand of the desert, etc., and may occur when food is grilled or fried indoors. Since most air quality monitoring systems and air purifier systems use low-cost sensors, the accuracy and performance of the sensors are relatively low [3,4,5,6,7]
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