Developing Indoor Air Quality Monitoring System Using Internet of Things and Wireless Sensor Network

Marti Widya Sari, Banu Santoso

Abstract


Since Indoor air quality heavily affects human health, the problem of indoor air quality needs serious attention, especially when the air quality is unfriendly and containing smoke. Therefore, it requires monitoring system to determine the smoke level in a room. This study aims to develop an indoor air monitoring system based on IoT and WSN to ease the users for monitoring the air quality in the surrounding environment. The research methods employed through library research, surveys and field observations, development system and testing system. The application development stage includes analysis, system design, implementation, and testing. The air quality level monitoring application was built with the web based programming language, MySQL database, and Arduino. The level of air pollution was measured by an MQ-2 sensor that serves to detect smoke levels and a web-based application to display information. The indoor air quality monitoring system is able to display the data result through website which can be accessed via the internet. Therefore, users can access the data from the smoke-level measurement of monitored surrounding environment. The testing of the system shows that this application is feasible and applicable to be used as a device to monitor indoor air quality levels.


Keywords


indoor air quality, monitoring system, sensors, wireless sensor network

Full Text:

PDF

References


Abraham, S., & Li, X. 2014. A Cost-E ff ective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications. Procedia - Procedia Computer Science, 34, 165–171. https://doi.org/10.1016/j.procs.2014.07.090

Alves, C. A., Vicente, E. D., Evtyugina, M., Vicente, A. M., Nunes, T., Lucarelli, F., Calzolai, G., Nava, S., Calvo, A. I., Alegre, B., Oduber, F., Castro, A., & Fraile, R. 2020. Indoor and outdoor air quality : A university cafeteria as a case study. Atmospheric Pollution Research, 11(3), 531–544. https://doi.org/10.1016/j.apr.2019.12.002

Aung, W., Noguchi, M., Yi, E. P., Thant, Z., & Uchiyama, S. 2019. Preliminary assessment of outdoor and indoor air quality in Yangon city , Myanmar. Atmospheric Pollution Research, 10(3), 722–730.

https://doi.org/10.1016/j.apr.2018.11.011

Becker, T., Muhlberger, S., Braunmuhl, C. B., Ziemann, T., & Muller, G. 2000. Air pollution monitoring using tin-oxide-based microreactor systems. 108–119.

Gabriel, M. F., Felgueiras, F., Mourão, Z., & Fernandes, E. O. 2019. Assessment of the air quality in 20 public indoor swimming pools located in the Northern Region of Portugal. Environment International, 133 (November), 105274. https://doi.org/10.1016/j.envint.2019.105274

Guo, J., Zhao, M., Xue, P., Liang, X., Fan, G., Ding, B., Liu, J., & Liu, J. 2020. New indicators for air quality and distribution characteristics of pollutants in China. Building and Environment, 106723. https://doi.org/10.1016/j.buildenv.2020.106723

Heo, S., Nam, K., Loy-benitez, J., Li, Q., Lee, S., & Yoo, C. 2019. Energy & Buildings A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station. Energy & Buildings, 202, 109440. https://doi.org/10.1016/j.enbuild.2019.109440

Huang, K., Sun, W., Feng, G., Wang, J., & Song, J. 2020. Indoor air quality analysis of 8 mechanically ventilated residential buildings in northeast China based on long-term monitoring. Sustainable Cities and Society, 54(November 2019), 101947. https://doi.org/10.1016/j.scs.2019.101947

Kemp, A. H., & Kemp, S. A. H. 2019. Real Time Wireless Wireless Sensor Network based Indoor Air Quality Monitoring System Monitoring System. IFAC PapersOnLine, 52(24), 324–327. https://doi.org/10.1016/j.ifacol.2019.12.430

Khare, A., Sharma, R., & Ahuja, N. J. 2020. Experimental Investigation of Integrated ID Method to Mitigate Message Loss in IOT Control Devices. 15(1), 32–45.

Kim, M., Sankararao, B., Kang, O., Kim, J., & Yoo, C. 2012. Monitoring and prediction of indoor air quality ( IAQ ) in subway or metro systems using season dependent models. Energy & Buildings, 46, 48–55. https://doi.org/10.1016/j.enbuild.2011.10.047

Kristianto, R. P., Santoso, B., & Sari, M. W. 2019. Integration of K-Means Clustering and Naïve Bayes Classification Algorithms for Smart AC Monitoring and Control in WSAN. 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 495–500.

Ku, J., & Bourgouin, P. 2018. Influence of mineral dust on changes of 7 Be concentrations in air as measured by CTBTO global monitoring system. 192(July), 454–466.

https://doi.org/10.1016/j.jenvrad.2018.07.015

Kušljevic, M., Vidakovic, M., & Rajs, V. 2014. Smart SCADA system for urban air pollution monitoring. 58, 138–146.

https://doi.org/10.1016/j.measurement.2014.08.036

Lesmana, R. N., & Rahayu, Y. 2016. Membangun Sistem Pemantau Kualitas Udara Dalam Ruangan Dengan Mengaplikasikan Sensor CO Berbasis LabVIEW. Jom FTEKNIK, 3, 1–6.

Peng, Y., & Wang, Y. 2019. Real-time forest smoke detection using hand-designed features and deep learning. Computers and Electronics in Agriculture, 167(July), 105029.

https://doi.org/10.1016/j.compag.2019.105029

Pule, M., Yahya, A., & Chuma, J. 2018. Wireless sensor networks : A survey on monitoring water quality. Revista Mexicana de Trastornos Alimentarios, 15(6), 562–570.

https://doi.org/10.1016/j.jart.2017.07.004

Saleh, M. H., & Hamad, Q. S. H. 2017. WIRELESS HOME AUTOMATION SYSTEM BASED ON MICROCONTROLLER. 12(11), 3034–3043.

Santoso, B., & Sari, M. W. 2019. Design of Student Attendance System Using Internet of Things (IoT) Technology. Journal of Physics, 1254, 1–11. https://doi.org/10.1088/1742-6596/1254/1/012064

Sari, M. W., Ciptadi, P. W., & Hardyanto, R. H. 2017. Study of Smart Campus Development Using Internet of Things Technology. IOP Conference Series: Materials Science and Engineering, 190(1). https://doi.org/10.1088/1757-899X/190/1/012032

Schieweck, A., Uhde, E., Salthammer, T., Salthammer, L. C., & Morawska, L. 2018. Smart homes and the control of indoor air quality. Renewable and Sustainable Energy Reviews, 94 (July), 705–718. https://doi.org/10.1016/j.rser.2018.05.057

Sedyaningsih, E. R. 2011. Peraturan Menteri Kesehatan Republik Indonesia Nomor 1077/Menkes/PER/V/2011 Tentang Pedoman Penyehatan Udara Dalam Ruang Rumah.

Silva, L. T., Mendes, B., & Silva, F. 2020. Contribution of an environmental monitoring system to evaluate the potential effect of urban air pollution. Procedia Structural Integrity, 22(2019), 130–136. https://doi.org/10.1016/j.prostr.2020.01.018

Tri, B., Utomo, W., & Saputra, D. S. 2016. Simulasi Sistem Pendeteksi Polusi Ruangan Menggunakan Sensor Asap Dengan Pemberitahuan Melalui SMS (Short Message Service) Dan Alarm Berbasis Arduino. 10(1), 56–68.

Yu, S., Yu, Z., Ma, X., Zhang, G., & Feng, G. 2017. Study on the influence of pollution source location on indoor pollutant distribution under different air supply. Procedia Engineering, 205, 2623–2630. https://doi.org/10.1016/j.proeng.2017.10.204




DOI: https://doi.org/10.26877/jitek.v7i2/Nov.9763

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

View My Stats

Barcode ISSN Jurnal JITEK:

p-ISSN                               e-ISSN

         

JITEK telah terindeks pada: 

        


Creative Commons License

JITek: Jurnal Ilmiah Teknosains is licensed under a Creative Commons Attribution 4.0 International Licensep-ISSN (Print) 2460-9986 | e-ISSN (Online) 2476-9436.

Based on a work at http://journal.upgris.ac.id/index.php/jitek.

Situs Togel

https://thefanmetareader.org/

https://roadgetbusiness.net/

https://northrunfarm.com/