Practical Particulate Matter Sensing and Accurate Calibration System Using Low-Cost Commercial Sensors
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 b...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/18/6162 |
| _version_ | 1797517214575755264 |
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| author | Hyuntae Cho Yunju Baek |
| author_facet | Hyuntae Cho Yunju Baek |
| author_sort | Hyuntae Cho |
| collection | DOAJ |
| description | 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/m<sup>3</sup> and the standard deviation was approximately 1.1 μg/m<sup>3</sup> in the air. When the proposed approaches are used for other optical sensors, it can result in better performance. |
| first_indexed | 2024-03-10T07:13:37Z |
| format | Article |
| id | doaj.art-8e63354db0094beea16c5cabe2da651a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T07:13:37Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-8e63354db0094beea16c5cabe2da651a2023-11-22T15:12:37ZengMDPI AGSensors1424-82202021-09-012118616210.3390/s21186162Practical Particulate Matter Sensing and Accurate Calibration System Using Low-Cost Commercial SensorsHyuntae Cho0Yunju Baek1School of Digital Media Engineering, Tongmyong University, Busan 48520, KoreaSchool of Computer Science and Engineering, Pusan National University, Busan 46241, KoreaAir 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/m<sup>3</sup> and the standard deviation was approximately 1.1 μg/m<sup>3</sup> in the air. When the proposed approaches are used for other optical sensors, it can result in better performance.https://www.mdpi.com/1424-8220/21/18/6162particulate matteraerosolmicro dustyellow dustcalibrationlow-cost |
| spellingShingle | Hyuntae Cho Yunju Baek Practical Particulate Matter Sensing and Accurate Calibration System Using Low-Cost Commercial Sensors Sensors particulate matter aerosol micro dust yellow dust calibration low-cost |
| title | Practical Particulate Matter Sensing and Accurate Calibration System Using Low-Cost Commercial Sensors |
| title_full | Practical Particulate Matter Sensing and Accurate Calibration System Using Low-Cost Commercial Sensors |
| title_fullStr | Practical Particulate Matter Sensing and Accurate Calibration System Using Low-Cost Commercial Sensors |
| title_full_unstemmed | Practical Particulate Matter Sensing and Accurate Calibration System Using Low-Cost Commercial Sensors |
| title_short | Practical Particulate Matter Sensing and Accurate Calibration System Using Low-Cost Commercial Sensors |
| title_sort | practical particulate matter sensing and accurate calibration system using low cost commercial sensors |
| topic | particulate matter aerosol micro dust yellow dust calibration low-cost |
| url | https://www.mdpi.com/1424-8220/21/18/6162 |
| work_keys_str_mv | AT hyuntaecho practicalparticulatemattersensingandaccuratecalibrationsystemusinglowcostcommercialsensors AT yunjubaek practicalparticulatemattersensingandaccuratecalibrationsystemusinglowcostcommercialsensors |