The performance evaluation of low-cost PM2.5 sensor and the influence of internal relative humidity and temperature

MOHD ZAHIR HUSSIN, NURAMIRA SYAFEEZA (2022) The performance evaluation of low-cost PM2.5 sensor and the influence of internal relative humidity and temperature. [Project Paper] (Submitted)

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Abstract

Introduction: Low-cost sensors can be cost-effective compared to reference instruments, but the reliability of data obtained is uncertain. Besides, the performance of low-cost sensor is likely to be influenced by the meteorological factors such as, RH and temperature. Objectives: This study aims to determine the accuracy of the low-cost sensor and the influence of RH and temperature towards the performance of low-cost air sensor. Methodology: We developed a low-cost sensor prototype which the method was adopted from Kadir (2020). The low-cost sensor consisted of few hardware component; NodeMCU ESP32 Wroom-32, PMS7003 and DHT22. The software used was ArduinoIDE (writing and uploading code) and ThingSpeak application (display and extract data). Then, a side by side measurement between the low-cost sensor and the validated instrument (TSI SidePak Personal Aerosol Monitor AM520 and Kestrel 5500 Weather Meter) was executed. The measurement was undertaken for 8 hours for three days. The time interval was set for 1-minute for all the study instruments. The sampling site was done in outdoor. Results and Discussion: The performance of the low-cost sensor was evaluated through the Spearman’s correlation analysis between PM2.5data from low-cost sensor against SidePak. Finding shows that a significant and strong positive correlation with R=0.791, p<0.001. Then, a highly strong correlation between RH and temperature between low-cost air sensor and Kestrel Meter were found, RH (r=0.98, p<0.001) and temperature (r=0.99, p<0.001). Next, through the linear regression analysis, internal RH and temperature were found to have a moderate influence toward the variability of the PM2.5data from low-cost sensor. With R2=0.51 and R2=0.50, p<0.001. Observing the concentration trend for all measurement, a distinct increase of PM2.5 was noticed as the level of RH >75% and temperature <30°C. Conclusion: The low-cost sensor prototype was successful since it produced such accurate data however, several action could be done to improve the low-cost sensor performance. For example, installation of drying facility at the inlet of the PM2.5 sensor and the calibration factor for RH and temperature could be implemented to correct the PM2.5 data. Lastly, a longer duration of measurement can be done to comprehensively evaluate the performance of the low-cost sensor. Keywords: air quality, low-cost sensor, relative humidity, temperature, performance, accuracy.

Item Type:	Project Paper
Faculty:	Faculty of Medicine and Health Science
Depositing User:	Mr Hafizzuddin Hamidon
Date Deposited:	24 Aug 2023 03:13
Last Modified:	24 Aug 2023 03:13
URI:	http://psaspb.upm.edu.my/id/eprint/1112

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