IoT Based Underground Drainage Monitoring System
G Chandhini1, B Chithra2, P Kiruthikadevi3, Bhagya Sasi4, V. Kamal Kumar5
1Chandhini G*, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India.
2Chithra B, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India.
3Kiruthikadevi P, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India.
4Bhagya sasi, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India.
5Prof. V. Kamal Kumar, Assistant Professor, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India.
Manuscript received on August 01, 2020. | Revised Manuscript received on August 05, 2020. | Manuscript published on September 30, 2020. | PP: 247-249 | Volume-9 Issue-3, September 2020. | Retrieval Number: 100.1/ijrte.C4354099320 | DOI: 10.35940/ijrte.C4354.099320
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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: Underground drainage monitoring system plays an important role in keeping the cities clean and healthy. Compared to other countries, India consists of highest number of sewage workers. Exposure of sewage workers to poisonous gases like hydrogen sulphide, sulphur dioxide, carbon monoxide, methane, ammonia, nitrogen oxide increases the death of the sewage workers. The main aim of this project is to design a network system which helps in monitoring poisonous gases present in sewage. Whenever the gas level crosses the threshold value, the information with different gas ppm values is displayed in the smart phone through the app. It also indicates whether it is safe for the manual scavengers to work in the environment or not.
Keywords: Smart phone, IOT, Alarm, Threshold value, Sensors, Application, LED, Sewage system.