Paper Info
Title
Practical Particulate Matter Sensing And Accurate Calibration System Using Low-Cost Commercial Sensors
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 mu g/m(3) and the standard deviation was approximately 1.1 mu g/m(3) in the air. When the proposed approaches are used for other optical sensors, it can result in better performance.
Year
DOI
Venue
2021
10.3390/s21186162
SENSORS
Keywords
DocType
Volume
particulate matter, aerosol, micro dust, yellow dust, calibration, low-cost
Journal
21
Issue
ISSN
Citations 
18
1424-8220
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Hyuntae Cho18814.10
Yunju Baek215623.54