Real-time indoor air quality monitoring association with humidity, temperature, and carbon monoxide level in the residential environment
DOI:
https://doi.org/10.24191/mjcet.v4i2.14916Keywords:
Indoor air quality, Relative humidity, Temperature, Carbon monoxide, ResidentialAbstract
Indoor Air Quality (IAQ) is the air quality in or around a building that can affect the comfort and health of building occupants. Polluted air contains toxic gases emitted by industry, vehicle emissions, and increased concentrations of harmful gases and particles in the atmosphere. The use of IoT can monitor IAQ reading levels and update IAQ real-time information parameters at different locations in the residential environment for the comfort and health of the occupants. The focus of this work is to measure the level of carbon monoxide (CO) as well as other important parameters such as temperature and relative humidity (RH) as recommended by ASHRAE 55-1992 and MS:1525. The developed system was built using NodeMCU as a microcontroller, MQ-7 to measure CO levels, and DHT22 sensor to measure the humidity and temperature levels. The experiment was conducted in a residential building located in Paya Jaras Tengah, Sungai Buloh, Selangor. The developed system was measured in three different locations, namely the living room, kitchen, and bedroom. In the morning, as the RH increased, the temperature also increased. Since the living room is located nearby the main road, the CO reading was higher than the other two locations, in which the highest value of 12 ppm was recorded. The results obtained showed that the system works well and can record the readings of RH, temperature, and CO level in the residential environment. Therefore, a reliable system can be developed to help the residential occupants monitor the level of IAQ in the house.
References
Abdul-Wahab, S.A., En, S.C.F., Elkamel, A., Ahmadi, L. & Yetilmezsoy, K. (2015). A review of standards and guidelines set by international bodies for the parameters of indoor air quality. Atmospheric Pollution Research, 6(5), 751–767. https://doi.org/10.5094/APR.2015.084
Abdul-Wahab, S.A., (2017). Study of the indoor air quality in two residential houses according to their ages. Proceeding of International Conference on Chemical, Agricultural, Biological and Health Sciences (CABHS-2017). 98–102. https://doi.org/10.17758/EIRAI.F0217201
Alves, C. A., Calvo, A. I., Castro, A., Fraile, R., Evtyugina, M., & Bate-Epey, E. F. (2013). Indoor air quality in two university sports facilities. Aerosol and air quality Research, 13(6), 1723–1730. https://doi.org/10.4209/aaqr.2013.02.0045
Al-Kuwari, M., Ramadan, A., Ismael, Y., Al-Sughair, L., Gastli, A. & Benammar, M. (2018), Smart-home automation using IoT-based sensing and monitoring platform. Proceedings of 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018), 1–6. https://doi.org/10.1109/CPE.2018.8372548.
Amir, A., Mohamed, M.F., Sulaiman, M.K.A.M., & Yusoff, W.F.M. (2019). Assessment of indoor thermal condition of a low-cost single story detached house: A case study in Malaysia. International Journal of Sustainable Tropical Design Research and Practice, 12(1), 80–88.
ASHRAE Standard 55-1992. (1992). Thermal environmental conditions for human occupancy 55-1992. American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc., 1992(ANSI/ASHRAE Standard 55-1992).
Azizpour F, Moghimi S, Lim CH, Mat S, Salleh E, Sopian K. (2013). A thermal comfort investigation of a facility department of a hospital in hot-humid climate: Correlation between objective and subjective measurements. Indoor and Built Environment, 22(5), 836–845. https://doi.org/10.1177%2F1420326X12460067
Al Marouf, A., Islam, S., & Chakraborty, N. R. (2019). IoT-based smart meeting room weather detection system using Arduino and relative sensors. International Journal of Computer Applications, 178 (17), 44-51.
Benammar, M., Abdaoui, A., Ahmad, S. H., Touati, F., & Kadri, A. (2018). A modular IoT platform for real-time indoor air quality monitoring. Sensors, 18(2), 581. https://doi.org/10.3390/s18020581
Chanthakit, S., & Rattanapoka, C. (2018). MQTT based air quality monitoring system using node MCU and Node-RED. Seventh ICT International Student Project Conference (ICT-ISPC), 1–5.
Cincinelli, A., & Martellini, T. (2017). Indoor air quality and health. International Journal of Environmental Research and Public Health, 14(11), 1286. https://doi.org/10.3390/ijerph14111286
Department of Occupational Safety and Health. Ministry of Human Resources. Industry code of practice on indoor air quality. 2010. JKKP DP (S) 127/379/4-39.
Durani, H., Sheth, M., Vaghasia, M., & Kotech, S. (2018). Smart automated home application using IoT with Blynk App. Proceeding of the Second International Conference on Inventive Communication and Computational Technologies (ICICCT). 393–397. https://doi.org/10.1109/ICICCT.2018.8473224
Falohun, A. S., Oke, A. O., Abolaji, B. M., & Oladejo, O. E. (2016). Dangerous gas detection using an integrated circuit and MQ-9. International Journal of Computer Applications, 135(7), 30-34.
Fang, L., Clausen, G., & Fanger, P.O. (1998). Impact of temperature and humidity on perception of indoor air quality during immediate and longer whole‐body exposures. Indoor Air, 8(4), 276–284.
Ha, Q.P., Metia, S., & Phung, M.D. (2020). Sensing data fusion for enhanced indoor air quality monitoring. IEEE Sensors Journal, 20(8), 4430–4441. https://doi.org/10.1109/JSEN.2020.2964396.
Hojaiji, H., Kalantarian, H., Bui, A.A., King, C.E., & Sarrafzadeh, M. (2017). Temperature and humidity calibration of a low-cost wireless dust sensor for real-time monitoring. Proceedings of 2017 IEEE Sensors Applications Symposium (SAS 2017), 3–8. https://doi.org/10.1109/SAS.2017.7894056
Jayamurugan, R., Kumaravel, B., Palanivelraja, S., & Chockalingam, M.P. (2013). Influence of temperature, relative humidity, and seasonal variability on ambient air quality in a coastal urban area. International Journal of Atmospheric Sciences, 2013.
Kumar, P., Skouloudis, A.N., Bell, M., Viana, M., Carotta, M.C., Biskos, G., & Morawska, L. (2016). Real-time sensors for indoor air monitoring and challenges ahead in deploying them to urban buildings. Science of the Total Environment, 560, 150–159. https://doi.org/10.1016/j.scitotenv.2016.04.032
Kumar, S., & Mahdavi, A. (2001). Integrating thermal comfort field data analysis in a case-based building simulation environment. Building and Environment, 36(6), 711–720. https://doi.org/10.1016/S0360-1323(00)00064-0
Mlakar, J., & Štrancar, J. (2013). Temperature and humidity profiles in passive-house building blocks. Building and Environment, 60, 185–193. https://doi.org/10.1016/j.buildenv.2012.11.018
Muladi, M., Sendari, S., & Widiyaningtyas, T. (2018). Real time indoor air quality monitoring using internet of things at university. 2018 2nd Borneo International Conference on Applied Mathematics and Engineering (BICAME 2018), 169-173. https://doi.org/10.1109/BICAME45512.2018.1570509614.
Panghurian, F.P., Surantha, N., & Zahra, A. (2018). A low-power scenario for IOT-based indoor air quality monitoring system at workplace. IOP Conference Series: Earth and Environmental Science, 195.
Salthammer, T., Uhde, E., Schripp, T., Schieweck, A., Morawska, L., Mazaheri, M., Clifford, S., He, C., Buonanno, G., Querol, X., & Viana, M. (2016). Children's well-being at schools: Impact of climatic conditions and air pollution. Environment International, 94, 196–210. https://doi.org/10.1016/j.envint.2016.05.009
Sattayakorn, S., Ichinose, M., & Sasaki, R. (2017). Clarifying thermal comfort of healthcare occupants in tropical region: A case of indoor environment in Thai hospitals. Energy and buildings, 149, 45–57. https://doi.org/10.1016/j.enbuild.2017.05.025
Takigawa, T., Wang, B. L., Sakano, N., Wang, D. H., Ogino, K., & Kishi, R. (2009). A longitudinal study of environmental risk factors for subjective symptoms associated with sick building syndrome in new dwellings. Science of The Total Environment, 407(19), 5223–5228. https://doi.org/10.1016/j.scitotenv.2009.06.023
Tran, V.V., Park, D., & Lee, Y.C. (2020). Indoor air pollution related human diseases, and recent trends in the control and improvement of indoor air quality. International Journal of Environmental Research and Public Health, 17(8), 2927. https://doi.org/10.3390/ijerph17082927
Vilčeková, S., Apostoloski, I.Z., Mečiarová, Ľ., Burdová, E.K., & Kiseľák, J. (2017). Investigation of indoor air quality in houses of Macedonia. International Journal of Environmental Research and Public Health, 14(1), 37. https://doi.org/10.3390/ijerph14010037
Wang, D., Agrawal, D.P., Toruksa, W., Chaiwatpongsakorn, C., Lu, M., & Keener, T.C. (2010). Monitoring ambient air quality with carbon monoxide sensor-based wireless network. Communications of the ACM, 53(5), 138–141.
Wardhani, D.K., Anastasia, M., & Setiando, M.J. (2020). Indoor health and comfort for the green workplace at the university. ARTEKS: Jurnal Teknik Arsitektur, 5(3), 441–448. https://doi.org/10.30822/arteks.v5i3.582
Yu, C.W., & Kim, J.T. (2011). Building environmental assessment schemes for rating of IAQ in sustainable buildings. Indoor and Built Environment, 20(1), 5–15. https://doi.org/10.1177%2F1420326X10397780
Zaki, S.A., Damiati, S.A., Rijal, H.B., Hagishima, A., & Abd Razak, A. (2017). Adaptive thermal comfort in university classrooms in Malaysia and Japan. Building and Environment, 122, 294–306. https://doi.org/10.1016/j.buildenv.2017.06.016
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