Airsense – Air Quality Monitoring
Rohith Muralidharan1, Neenu Kuriakose2, Sangeetha J3
1Rohith Muralidharan, Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, India.
2Neenu Kuriakose, Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, India.
3Sangeetha J, Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, India.
Manuscript received on 04 July 2021 | Revised Manuscript received on 12 August 2021 | Manuscript Accepted on 15 August 2021 | Manuscript published on 30 December 2023 | PP: 8-11 | Volume-1 Issue-4 August 2021 | Retrieval Number: 100.1/ijdcn.C5029043323 | DOI: 10.54105/ijdcn.C5029.081421
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper basically aims to measure the indoor air quality by making use of two prominent sensors namely the DHT11 sensor which is used to measure the temperature and humidity and the MQ135 sensor which is used to detect harmful gases in the air such as Ammonia, CO2, CO, Nitrogen oxides, alcohol, smoke. The sensor allows us to determine the values of various gases in the house and classify it as good, bad, poor or toxic. This allows us to be alert and take necessary course of action to make the household a better and safer place to reside. This setup uses an Arduino uno as the microprocessor to perform necessary calculations. The data is then captured to the host system serially and is used for data visualization in Realtime using python and its various libraries.
Keywords: IoT, MQ135, DHT11, Realtime Indoor Air Quality Monitoring, Arduino UNO, Python.
Scope of the Article: IoT