Novel Computational and Forecasting Strategy For Environment Quality Monitoring using Deep Learning
Shaikh Shakeela1, K. Uday Kiran2, K. Rajesh Kumar3, N. Shravan Kumar4, M. Sree Ram Reddy5
1Shaikh Shakeela, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
2K. Uday Kiran, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
3K. Rajesh Kumar, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
4N. Shravan Kumar, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
5M. Sree Ram Reddy, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Manuscript received on 6 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 2222-2227 | Volume-8 Issue-3 September 2019 | Retrieval Number: A4288058119/19©BEIESP | DOI: 10.35940/ijrte.A4288.098319
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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: Air pollution is the serious issue that one must think about and is caused by harmful gases present in the atmosphere such as Carbon Dioxide, Carbon Monoxide, Sulphur Dioxide etc. since level of pollution varies from one place to another. According to WHO (World Health Organization) air pollution is the fifth major cause for deaths after heart diseases, high blood pressure, poor nutrition and tobacco smoking. Monitoring and detection of the amount of harmful gases over particular area can reduce the chances of endanger to human beings and warn to take precautionary measures and do necessary remedies to regulate the emission of poisonous atmospheric gases. The present paper deals with the monitoring of the disastrous gases using gas sensor which is embedded with NodeMCU. The observed levels sent through internet to cloud platforms using MQTT protocols. The data is stored in the ThingSpeak cloud which can be further analyzed from anywhere in world. Data is processed using Machine learning (ML) algorithm called Long Short-Term Memory Network (LSTM) which is the state-of-the-art technique in the field of data analytics and majorly used for data forecasting.
Index Terms- Gas sensors, NodeMCU, MQTT, LSTM, air pollution monitoring,
Scope of the Article: Computational Techniques in Civil Engineering