Real Time Air Quality Index from Various Locations
Appasani Geetha1, Pasumarthi Sai Ramya2, Chenikala Sravani3, M.Ramesh4
1Appasani Geetha, Student-IT, Velagapudi Ramakrishna Siddhartha Engineering College, India.
2Pasumarthi Sai Ramya, Student-IT, Velagapudi Ramakrishna Siddhartha Engineering College, India.
3Chenikala Sravani, Student-IT, Velagapudi Ramakrishna Siddhartha Engineering College, India.
4M. Ramesh, Guide, Assistant Professor-IT, Velagapudi Ramakrishna Siddhartha Engineering College, India.
Manuscript received on June 09, 2020. | Revised Manuscript received on July 28, 2020. | Manuscript published on July 30, 2020. | PP: 368-372 | Volume-9 Issue-2, July 2020. | Retrieval Number: B3493079220/2020©BEIESP | DOI: 10.35940/ijrte.B3493.079220
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The surveys regarding air pollution shows that there has been a hasty growth due to the emission of fuels and exhaust gases from factories. The Air Quality Index (AQI) has been launched to note the contemporary status of the air quality. The intent of AQI is to aid every individual know how the regional air quality will make an impact on them. The Environmental Protection Agency assess the AQI for five major air pollutants namely Nitrogen dioxide (NO2), ground-level ozone (O3), particle pollution (PM10, PM2.5), carbon monoxide (CO), and sulphur dioxide (SO2). The intent of the project is to congregate real-time Air Quality Index from distinct monitoring stations across India, analysing the data and reporting on it. Collect the real-time data using the API key provided by Open Government Data (OGD) platform India. This is done by making use of Microsoft Business Intelligence (MSBI) and Power BI Tools to transform, analyse and visualize the data. This project can be utilized to develop various programs like Ozone today in Europe and in mobile applications which acts as an alert system that can protect people from air pollution.
Keywords: Air Pollution, Air Quality Index, Business Intelligence, Power BI, pollutants, SSIS, SSAS.