Low-Cost Real-Time Mobile Air-Quality Monitoring System (AQMS)

  • Abstract
  • Keywords
  • References
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  • Abstract

    Air quality is one of the dominant health and environmental interest issues in the world thus it is important to monitor air quality at surrounding area especially in big cities and urban areas. This paper explains the development of a reliable and cost-effective air quality monitoring system (AQMS) that can measure the air quality at indoor and outdoor area and to alert the user of the hazardous air quality index (AQI) level through an alarm system upon detection. By using Arduino platform and various sensors along with a flat-panel liquid-crystal display (LCD) and Bluetooth module, the system detects the level of the hazard gases, temperature and humidity of the area. The AQMS is a portable air quality index (AQI) acquisition device that is simple to carry and provide real-time measurement on the LCD. It is a user-friendly device and handy to operate. The AQMS gives the public an opportunity to monitor the air quality personally and helps to bring awareness on the real-time air quality around them and improve the air quality.




  • Keywords

    air pollution, air quality index, Arduino, humidity sensor, air quality.

  • References

      [1] Penza, M., Suriano, D., Villani, M. G., Spinelle, L., & Gerboles, M. (2014). Towards air quality indices in smart cities by calibrated low-cost sensors applied to networks. IEEE SENSORS 2014 Proceedings. doi:10.1109/icsens.2014.6985429

      [2] A. Oudin, L. Bråbäck, D. O. Åström, M. Strömgren, and B. Forsberg, “Association between neighbourhood air pollution concentrations and dispensed medication for psychiatric disorders in a large longitudinal cohort of Swedish children and adolescents,” BMJ Open, vol. 6, article e010004, no. 6, 2016.

      [3] N. Castell, F. R. Dauge, P. Schneider et al., “Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?” Environment International, vol. 99, pp. 293–302, 2017.

      [4] C. Y. Chong and S. P. Kumar, “Sensor networks: evolution, opportunities, and challenges,” Proceedings of the IEEE, vol. 91, no. 8, pp. 1247–1256, 2003.

      [5] A. Burresi, A. Fort, S. Rocchi, B. Serrano, N. Ulivieri and V. Vignoli, "Temperature profile investigation of SnO/sub 2/ sensors for co detection enhancement," Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412), Vail, Colorado, USA, 2003, pp. 590-594.
      doi: 10.1109/IMTC.2003.1208225

      [6] Akira Tiele, Siavash Esfahani, and James Covington, “Design and Development of a Low-Cost, Portable Monitoring Device for Indoor Environment Quality,” Journal of Sensors, vol. 2018, Article ID 5353816, 14 pages, 2018.

      [7] Nyarku, M., Mazaheri, M., Jayaratne, R., Dunbabin, M., Rahman, M. M., Uhde, E., & Morawska, L. (2018). Mobile phones as monitors of personal exposure to air pollution: Is this the future? Plos One, 13(2). doi:10.1371/journal.pone.

      [8] Environmental Impacts of Air Pollution. (2010). Air Pollution, 419-419. doi:10.1201/ebk1439809624-s5

      [9] Shang, M. (n.d.). Low Cost Air Quality Monitoring. doi:10.15760/honors.478

      [10] Daly, A. and P. Zannetti. 2007. An Introduction to Air Pollution – Definitions, Classifications, and History. Chapter 1 of Ambient Air Pollution (P. Zannetti, D. Al-Ajmi, and S. Al-Rashied, Editors). Published by The Arab School for Science and Technology (ASST)

      [11] Influence of Temperature and Humidity on the Output Resistance Ratio of the MQ 135 Sensor. Retrieved from http://ijarcsse.com. Volume_6/4_April2016/V6I4-0130.pdf

      [12] Technical Datasheet of MQ135 Sensor

      [13] Technical Datasheet of DHT11 Sensor

      [14] SensorApp (2010). Sharp Dust Sensor and Arduino. Retrieved October 15, 2014, from http://sensorapp.net/sharp-dust-sensor-and-arduino/

      [15] Mohammad Saifuddin Munna,Bijoy Kumar Tarafder,Md. Golam Robbani, Tuton Chandra Mallick,"Design and implementation of a drawbot using Matlab and Arduino Mega", 2017 International Conference on Electrical, Computer and Communication Engineering, 769-773 (ECCE) (2017)

      [16] Navreetinder Kaur,Rita Mahajan, Deepak Bagai,"Air Quality Monitoring System based on Arduino Microcontroller", International Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 6 (2016)

      [17] Vandana Kalra, Chaitanya Baweja,Dr. Simmarpreet, Supriya Chopra, "Influence of Temperature and Humidity on the Output Resistance Ratio of the MQ-135 Sensor”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 6, Issue 4 (2016)

      [18] Noor Shazliza, Z. Rice Husk/Dust Air Particle Sensor Using Zigbee Wireless Sensor Network. Degree of Master Thesis. Universiti Tun Hussien Onn Malaysia; 2013.

      [19] Rahmalan Ahmad, Zaiton Majid, M. Rashid M. Yusoff, M. Zahari Abdullah and Abdullah Othman,"AIR QUALITY OF PASIR GUDANG INDUSTRIAL ESTATE", FNEHR Conference (1994).

      [20] Kaur, A., Singla, S., & Bansal, D. (2017). Quantifying Personal Exposure to Spatio-Temporally Distributed Air Pollutants using Mobile Sensors. Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications - CrowdSenSys 17. doi:10.1145/3139243.3139248




Article ID: 27859
DOI: 10.14419/ijet.v7i4.22.27859

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