Internet of Things Based Pollution Tracking and Alerting System
S. Sanjay Kumar1, P. Ramchandar Rao2, Ch. Rajendra Prasad3
1S. Sanjay Kumar, Department. of Engineering and Communication Engineering, S R Engineeering College, Warangal, India.
2P. Ramchandar Rao, Department. of Engineering and Communication Engineering, S R Engineeering College, Warangal, India.
3Ch. Rajendra Prasad, Department. of Engineering and Communication Engineering, S R Engineeering College, Warangal, India.
Manuscript received on 01 June 2019 | Revised Manuscript received on 07 June 2019 | Manuscript published on 30 June 2019 | PP: 22 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7518068819/19©BEIESP
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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: Pollution is major issue in the present world. These include air, water, sound pollution, soil pollution etc. These pollutions lead to the adverse effects of the society that may lead to loss of living creatures. Industries contribute a large part of these pollutions. To reduce industry pollution there needs to be a continuous track of the industry emissions. It is merely difficult to measure pollution continuously at a place at a time. Due this majority of the industries are polluting the environment in various ways. To prevent industry pollution this system is proposed. The system regularly monitors the air, water, sound, soil around the industry and records the readings into the cloud storage and Internet of Things (IoT). If the recorded value exceeds minimum threshold level the notification is sent to the mail id of the concerned authority. The authority can also access these values continuously from the cloud by a secured login page. By this manipulation of data can be avoided.
Keywords: IoT, Pollution Tracking, Alerting System, Node MCU, Turbidity Sensor.
Scope of the Article: Internet Computing