An IoT based Drainage Overflow Forecast Monitoring System
B V Subba Rao1, J .Sirisha2, S.Sai Kumar3
1B V Subba Rao*, Professor, Department of Information Technology, PVP Siddhartha Institute of Technology, Vijayawada.
2J .Sirisha, Assistant Professor, Department of Information Technology, PVPSIT, Kanuru, Vijayawada, India.
3S.Sai Kumar, Assistant Professor, Department of Information Technology, PVPSIT, Kanuru, Vijayawada, India.
Manuscript received on December 17, 2019. | Revised Manuscript received on December 27, 2019. | Manuscript published on January 10, 2020. | PP: 2667-2669 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8861019320/2020©BEIESP | DOI: 10.35940/ijitee.C8861.019320
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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: Recent days IoT is emerging as a latest innovative technology. For varies societal applications. In our proposed method we are going to come up with an innovation to identify the drainage overflow in advance. We will consider the drainage manholes as nodes, and all these nodes are connected to the main server (or) root node with a suitable network topology. We will keep the water level sensors at respected nodes. These sensors are embedded with a tiny microcontroller with some DC voltage. All these nodes with microcontrollers are connected to the main server. All these sensors are set up with a uniform water level measure. Whenever there is a slight abnormality (lower/higher) in water levels, then this nodes with microcontroller sends a message to the main server and the identity of this nodes is recorded in the server along with its water level in the mobile app/dashboard. With the help of this mobile app we can do the remedial action immediately so that we can avoid overflow in advance.
Keywords: IoT, Drainage, manhole, Microcontroller.
Scope of the Article: IoT