Abstract
Pollution occurs at an unprecedented scale around the globe. Among various types of pollution, air pollution is a major threat to life and ecosystem as a whole. This paper presents the application of the Internet of Things to model a smart environment by developing a user-configurable air pollution monitoring device. This user configurable device monitors air pollution, collects location coordinates and send the collected data along with the location to an online Internet of Things platform called ThingSpeak. The Public can make use of the information in this platform. This device consists of sensors, Raspberry Pi 3, and GPS module. User configurability is achieved by developing a Bluetooth-based Android application thereby making the device more flexible.
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References
Natural composition of air available. https://en.wikipedia.org/wiki/Atmospheric_chemistry
George, J.E., Aravinth, J., Veni, S.: Detection of pollution content in an urban area using landsat 8 data. In: International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 184–190. IEEE (2017)
Gupta, P., Kumar, R., Singh, S.P., Jangid, A.: A study on monitoring of air quality and modeling of pollution control. In: Humanitarian Technology Conference (R10—HTC), (pp. 1–4). IEEE Region 10 (2016)
Sidharth Ajith, Harivishnu, B., Vinesh, T.K., Sooraj, S., Geena Prasad: Automated gas pollution detection system. In: 2nd International Conference for Convergence in Technology (I2CT), pp. 483–486. IEEE (2017)
Thakur, A.: Study of ambient air quality trends and analysis of contributing factors in Bengaluru, India. Orient. J. Chem. 33(2), 1051–1056 (2017)
Airpocalypse report. https://secured-staticgreenpeace.org/india/Global/india/Airpoclypse-Not-justDelhiAir-in-most-Indian-cities-hazardous—Greenpeacereport.pdf
Pokric, B., Kreo, S., Drajic, D., Pokric, M., Jokic, I., Stojanovic, M.J.: ekoNET—environmental monitoring using low-cost sensors for detecting gases, particulate matter, and meteorological parameters. In: 8th Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 421–426. IMIS, IEEE (2014)
Marquez-Viloria, D., Botero-Valencia, J.S., Villegas-Ceballos, J.: A low cost georeferenced air-pollution measurement system used as early warning tool. In: XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA), pp. 1–6. IEEE (2017)
Dam, N., Ricketts, A., Catlett, B., Henriques, J.: Wearable sensors for analyzing personal exposure to air pollution. In: Systems and Information Engineering Design Symposium (SIEDS), pp. 1–4. IEEE (2017)
Yi, W.Y., Leung, K.S., Leung, Y., Meng, M.L., Mak, T.: Modular sensor system (MSS) for urban air pollution monitoring. Sens. IEEE (2016)
Vijai, P., Sivakumar, P.B.: Design of IoT systems and analytics in the context of smart city initiatives in India. Procedia Comput. Sci. 92 (2016)
Datasheet of Raspberry Pi 3. http://docs-europe.Lectrocomponents.com/webdocs/4ba/0900766b814ba5fd.pdf
MQ-7 datasheet. http://edge.rit.edu/edge/R13401/public/FinalDocuments/Monitor/Appendix%20B%20B%20Sensors.pdf
MQ-135 datasheet. https://upverter.com/datasheet/05a4d494d8c28d681c71285ffeaa8c509a60537.pdf
ADC PCF8591P data sheet. https://www.aurel32.net/elec/pcf8591.pdf
Nova PM sensor datasheet. https://ecksteinimg.de/Datasheet/SDS018%20Laser%20PM2.5%20Product%20Spec%20V1.5.pdf
DS18b20 temperature sensor datasheet available. https://datasheets.maximintegrated.com/en/ds/DS18B20.pdf
GPS Neo6MV2 datasheet. https://www.ulox.com/sites/default/files/products/documents/NEO-6_DataSheet_%28GPS.G6-HW-09005%29.pdf
Android studio references available. https://developer.android.com/training/basics/firstapp/creating-project.html
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Binsy, M.S., Sampath, N. (2019). User Configurable and Portable Air Pollution Monitoring System for Smart Cities Using IoT. In: Smys, S., Bestak, R., Chen, JZ., Kotuliak, I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore. https://doi.org/10.1007/978-981-10-8681-6_32
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DOI: https://doi.org/10.1007/978-981-10-8681-6_32
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