Development of a Real-Time Gas Concentration Measurement System Using Internet of Things-Based Monitoring
DOI:
https://doi.org/10.21009/SPEKTRA.091.03Keywords:
carbon monoxide, nitrogen dioxide, sulfur dioxide, measurement and monitoring system, internet of thingsAbstract
Transportation and industrial activities have contributed to an increase in the concentration of pollutant gases such as CO, NO2, and SO2 in the air. High concentrations of these gases can adversely affect human health. One approach to addressing this issue is by measuring and monitoring gas concentrations in the air. The advancement of technology, specifically the Internet of Things (IoT), facilitates the monitoring process. Therefore, this research focuses on the development of a gas concentration measurement system, utilizing the MQ-7 sensor for CO, the MiCS-6814 sensor for NO2, and the MQ-136 sensor for SO2. Additionally, the system is integrated with a website as a platform for monitoring the sensor measurements. The research results indicate that the system has been successfully developed with relative errors of 0.286% for the MQ-7 sensor, 0.325% for the MiCS-6814 sensor, and 0.280% for the MQ-136 sensor. The system underwent testing at three different locations, conducting gas concentration measurements in the environment for 24 hours. The environmental testing revealed measured gas concentration ranges of 2.52-7.67 PPM for CO, 0.00450-0.103 PPM for NO2, and 0.0100-0.0652 PPM for SO2. The measurement data is accessible and observed in real-time through the website, presented in graphical form, indicating average concentration values of CO, NO2, and SO2 over a 3-hour period. Moreover, the website is equipped with indicator lights that serve as alarms if the environmental gas concentration exceeds predefined thresholds.
References
[2] “Air Pollution CISDI Report 2021.” Accessed: Apr. 20, 2024. [Online]. Available: https://cdn.cisdi.org/reseach-document/fnm-Air-Pollution-CISDI-Report-revpdf-1682651104249-fnm.pdf.
[3] M. O. Benammar et al., “Real-time indoor air quality monitoring through wireless sensor network,” International Journal of Internet of Things and Web Services, vol. 2, pp. 7-13, 2017.
[4] C. Khandar and S. Kosankar, “A review of vehicular pollution in urban India and its effects on human health,” Journal of Advanced Laboratory Research in Biology, vol. 5, no. 3, pp. 54–61, Jul. 2014.
[5] L. P. Pratama et al., “Analysis of CO Pollutant Monitoring System Using MAPPI32 LORA in Bekasi City,” 2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE), Surabaya, Indonesia, 2023, pp. 13-18, doi: https://doi.org/10.1109/ICVEE59738.2023.10348348.
[6] Q. Ding et al., “Toxic gas detection robot,” 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ), Beijing, China, 2022, pp. 1135-1139, doi: 10.1109/IAEAC54830.2022.9930073.
[7] Sumaira and H. M. A. Siddique, “Correction to: Industrialization, energy consumption, and environmental pollution: evidence from South Asia,” Environmental Science and Pollution Research, Aug. 2022, doi: https://doi.org/10.1007/s11356-022-22682-w.
[8] L. Spinelle et al., “Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide,” Sensors and Actuators B: Chemical, vol. 215, pp. 249–257, Aug. 2015, doi: https://doi.org/10.1016/j.snb.2015.03.031.
[9] E. Apriawati, and A. A. Kiswandono, “Kajian Indeks Standar Polusi Udara (ISPU) Nitrogen Dioksida (NO2) di Tiga Lokasi Kota Bandar Lampung,”Analit : Analytical and Environmental Chemistry, 2(1), 42-51, 2017.
[10] B. Harpad et al., “Sistem Monitoring Kualitas Udara di Kawasan Industri dengan NODEMCU ESP32 Berbasis IoT”, informatika, vol. 12, no. 2, pp. 39–47, Jul. 2022, https://doi.org/10.46984/inf-wcd.1955.
[11] S. Sudalma et al, “The Effect of SO2 and NO2 from Transportation and Stationary Emissions Sources to SO42− and NO3− in Rain Water in Semarang,” Procedia Environmental Sciences, vol. 23, pp. 247–252, 2015, doi: https://doi.org/10.1016/j.proenv.2015.01.037.
[12] F. H. Pristianto et al., “Pengaruh Pembacaan Sensor Gas MQ136 Terhadap Persebaran dan Perubahan Kecepatan Udara”, ZTR, vol. 1, no. 2, pp. 17 - 20, Oct. 2019, https://doi.org/10.36526/ztr.v1i2.597.
[13] R. Purbakawaca et al., “Ambient Air Monitoring System With Adaptive Performance Stability,” in IEEE Access, vol. 10, pp. 120086-120105, 2022, doi: 10.1109/ACCESS.2022.3222329.
[14] S. Kabir et al., “An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai,” Expert Systems with Applications, vol. 206, p. 117905, Nov. 2022, doi: https://doi.org/10.1016/j.eswa.2022.117905.
[15] I. Gryech et al., “MoreAir: A Low-Cost Urban Air Pollution Monitoring System,” Sensors, vol. 20, no. 4, p. 998, Feb. 2020, doi: https://doi.org/10.3390/s20040998.
[16] P. Raj and A. C. Raman, The Internet of Things. Boca Raton: Taylor & Francis, CRC Press, 2017.: Auerbach Publications, 2017, doi: https://doi.org/10.1201/9781315273095.
[17] M. V. Nikolic et al., “Semiconductor Gas Sensors: Materials, Technology, Design, and Application,” Sensors, vol. 20, no. 22, p. 6694, Nov. 2020, doi: https://doi.org/10.3390/s20226694.
[18] E. N. Sari and Esty Purwaningsih, “Air Quality Index Classification Using Neural Network Algorithms”, Systematics Journal, vol. 4, no. 3, pp. 473–781, Dec. 2022, https://doi.org/10.35706/sys.v4i3.7722.
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