Open AccessAn IoT based Drainage Overflow Forecast Monitoring System
Author(s) -
Bo Rao,
J. Sirisha,
Satish Kumar
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8861.019320
Subject(s) - microcontroller , computer science , dashboard , computer network , node (physics) , internet of things , embedded system , real time computing , engineering , data science , structural engineering
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.