Development of a Particulate Matter and Carbon Monoxide Detector
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Abstract
Air pollution is inarguably a common tragedy in the today’s world: a resultant effect of industrialization and civilization. This work considered two of the most common domestic air pollutants – particulate matter (PM) and carbon monoxide (CO). This developed device is able to detect the presence of these two pollutants in the atmosphere, and trigger an alarm when the levels of these pollutants is above the safe level with respect to the World Health Organization (WHO) standards. NOVA SDS011 and MQ135 were used as the particulate matter and carbon monoxide sensors respectively, 20 x 4 Liquid Crystal Display (LCD) was used as the display unit, and a buzzer as the alarm device which is triggered when the pollutant level is high. The device utilizes Arduino Uno R3 as its microcontroller for controlling the operation of the device. The key contribution to knowledge of this work is the design of a low-cost, portable and modern pollutant detector that can be traditionally deployed in either closed or open environments. On testing the device under different conditions for 500 seconds per condition, the indoor PM2.5, P.M10 and CO levels ranged between 16-19 µg/m3, 43-80 µg/m3 and 0.6-1.3 parts per million (PPM) respectively. The outdoor PM2.5, PM10 and CO levels were between 17-23 µg/m3, 19-62 µg/m3 and 0.3-0.6 PPM respectively. These levels are considered reasonable enough compared to World Health Organization safe limits of below 25 µg/m3, below 54 µg/m3 and 9 PPM for the PM2.5, PM10 and CO respectively. The device was further exposed to the combustion of fuels and to a dusty environment to read very unsafe limits. This work helped to develop a cost-efficient pollution detector; even as optimal operating efficiency was retained.
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Abbas, F. N., Abdalrdha, Z. K., Saadoon, M. M., & Abud, E. N. (2020). Capable of gas sensor MQ-135 to monitor the air quality with arduino uno. International Journal of Engineering Research and Technology, 13(10), 2955-2959. https://doi.org/10.37624/IJERT/13.10.2020.2955-2959 DOI: https://doi.org/10.37624/IJERT/13.10.2020.2955-2959
Al Barake, Z., Breuil, P., Redon, N., Pijolat, C., Locoge, N. & Viricelle, J. P. (2017). Development of a normalized multi-sensors system for low cost on-line atmospheric pollution detection. Sensors and Actuators B: Chemical, 241, 1235-1243. https://doi.org/10.1016/j.snb.2016.10.006 DOI: https://doi.org/10.1016/j.snb.2016.10.006
Alege, P. O., Adediran, O. S., & Ogundipe, A. A. (2016). Pollutant emissions, energy consumption, and economic growth in Nigeria. International Journal of Energy Economics and Policy, Econjournals, 6(2), 202-207.
Atani, M. (2024). Air Pollution: Africa invisible silent killer. UN environment. https://www.unenvironment.org/news-and-stories/story/air-pollution-africas-invisible-silent-killer-1
Broday, D. M. (2017). Wireless distributed environmental sensor networks for air pollution measurement - The promise and current reality. Sensors, 17(10). https://doi.org/10.3390/s17102263 DOI: https://doi.org/10.3390/s17102263
Buček, P., Maršolek, P., & Bílek, J. (2021). Low-cost sensors for air quality monitoring - The current state of the technology and a use overview. Chemistry, Didactics, Ecology, Metrology Journal, 26(1-2), 41-54. https://doi: 10.2478/cdem-2021-0003 DOI: https://doi.org/10.2478/cdem-2021-0003
Cao, T., & Thompson, J. E. (2017). Portable, ambient pm2.5 sensor for human and/or animal exposure studies. Analytical Letters, 50(4), 712-723. https://doi.org/10.1080/00032719.2016.1190736 DOI: https://doi.org/10.1080/00032719.2016.1190736
Carvalho, H. (2019). Air pollution-related deaths in Europe: Time for action. Journal of global health, 9(2), 1-4, https://doi:10.7189/jogh.09.020308 DOI: https://doi.org/10.7189/jogh.09.020308
Caubel, J. J., Cados, T. E., & Kirchstetter, T. W. (2018). A new black carbon sensor for dense air quality monitoring networks. Sensors, 18(3). 1-18, https://doi:10.3390/s18030738 DOI: https://doi.org/10.3390/s18030738
Dhall, S., Mehta, B. R., Tyagi, A. K., & Sood, K. (2021). A review on environmental gas sensors: materials and technologies. Sensors International, 2. 1-10, https://doi.org/10.1016/j.sintl.2021.100121 DOI: https://doi.org/10.1016/j.sintl.2021.100116
Divan, T. (2014). Hand-held device for detection of air pollutants in vehicles (unpublished master dissertation). Rastrasanta Tukadoji Maharaj Nagpur University, India.
Kulkarni, A., & Teja, T. R. (2014). Automated system for air pollution detection and control in vehicles. International Journal of Advanced Research in Electrical, 3(9), 5, 12196-12200 DOI: https://doi.org/10.15662/ijareeie.2014.0309061
Kunecki, P., Franus, W., & Wdowin, M. (2020). Statistical study and physicochemical characterization of particulate matter in the context of Kraków, Poland. Atmospheric Pollution Research Journals, 11(3), 520-530. https://doi.org/10.1016/j.apr.2019.12.001 DOI: https://doi.org/10.1016/j.apr.2019.12.001
Mead, M. I., Popoola, O. A., Stewart, G. B., Landshoff, P., Calleja, M., Hayes, M., Baldovi, J. J., McLeod, M. W., Hodgson, T. F., Dicks, J., Lewis, A., Cohen, J., Baron, R., Saffell J. R., Jones, R. L. (2013). The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks. Atmospheric Environment, 70(1), 186-203. https://doi.org/10.1016/j.atmosenv.2012.11.060 DOI: https://doi.org/10.1016/j.atmosenv.2012.11.060
Najmurrokhman, A., Kusnandar, A., Syaripudin, A., & Munir, A. (2019). Development of human machine interface for supporting the disaster mitigation system in the city using wireless sensor network. Journal of Physics: Conference Series, 1280(2). 1-8, https://doi:10.1088/1742-6596/1280/2/022032 DOI: https://doi.org/10.1088/1742-6596/1280/2/022032
Nguye, N. H., Nguye, H. X., Le, T. B., & Vu, C. D. (2021). Evaluating low-cost commercially available sensors for air quality monitoring and application of sensor calibration methods for improving accuracy. Open Journal of Air Pollution, 10(1), 1-17. https://doi.org/10.4236/ojap.2021.101001 DOI: https://doi.org/10.4236/ojap.2021.101001
Rawat, N., & Kumar, P. (2022). Interventions for improving indoor and outdoor air quality in and around schools. Science of the Total Environment, 858(5), 1-24, https://doi.org/10.1016/j.scitotenv.2022.159813 DOI: https://doi.org/10.1016/j.scitotenv.2022.159813
Reza, D. (2019). Carbon monoxide sensor based on non-dispersive infrared principle. Journal of Physics: Conference Series. https://doi:10.1088/1742-6596/1201/1/012012 DOI: https://doi.org/10.1088/1742-6596/1201/1/012012
Saad, S. M., Andrew A. M., Shakaff, A. Y., Dzahir, M. A., Hussein, M., Mohamad, M., & Ahmad, Z. A. (2017). Pollutant recognition based on supervised machine learning for indoor air quality monitoring systems. Applied Science, 7(8), 1-21, https://doi.org/10.3390/app7080823 DOI: https://doi.org/10.3390/app7080823
Singh, D., Dahiya, M., Kumar, R., & Nanda, C. (2021). A review on sensors and systems for air quality assessment monitoring and management. Journal of Environmental Management, 289(7). doi:10.1016/j.jenvman.2021.112510 DOI: https://doi.org/10.1016/j.jenvman.2021.112510
Singh, S. P., & Sharma, M. K. (2018). Impact of air pollution on global environment. Science Technical and Medicine Journals, 7(1), 23-32, https://doi:10.37591/rrjoe.v7i1.816.
Spec Sensors (2016): Ultra-low power analog sensor module for respiratory irritants. https://www.spec sensors.com
Spinelle, L., Gerboles, M., Kok, G., Persijn, S., & Sauerwald, T. (2017). Review of portable and low-cost sensors for the ambient air monitoring of benzene and other volatile organic compounds. Sensors Journal, 17(7). https://doi:10.3390/s17071520 DOI: https://doi.org/10.3390/s17071520
US EPA (2024): Criteria air pollutants. https://www.epa.gov/criteria air-pollutants.
US EPA (2015): Criteria air pollutants.https://www.epa.gov/sites/default/files/2015-10/ace3_criteria_air_pollutants
Usikalu, M. R., Umoren, I., Ndubuisi, A. O., & Olawole O. F. (2019). Design and construction of carbon monoxide detector. International Journal of Civil Engineering and Technology, 1(3), 464-469.
Ye, Y., & Geng, P. (2023). A review of air pollution monitoring technology for ports. Applied Science Journals, 13(8), 1-15, https://doi.org/10.3390/app13085049 DOI: https://doi.org/10.3390/app13085049