Wireless Sensor Based Water Quality Management Using Solar Energy

International Journal of Computer Science and Emerging Technologies

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Field Value
Title Wireless Sensor Based Water Quality Management Using Solar Energy
Creator Baladi, Ronak Ali
Subject dvanced Risk Machines, Base Stations, MATLAB, Microcontroller, Nodes, Oxygen level, pH, Photovoltaic panel, Quality, Regulation, Solar power, Turbidity meter, Water, Wireless Sensor Network, Zigbee
Description Main purpose of this research is detecting pH, turbidity, and oxygen level of water through Wireless Sensor Network (WSN) with help of pH, turbidity, and redox sensors respectively and acknowledge home users, agriculturists, and industrialists that water is having a particular state and use it accordingly. WSN is powered by solar (Photovoltaic) panel. To connect nodes and base stations Zigbee is used here as a wireless technology to read data from remote positions and gather at stations to control and regulate those positions at a distance. As water is basic source for survival of each and every organism in the earth planet, without its quality, this same water could be dangerous to use. Data of pH, turbidity and oxygen levels is sent from nodes to base stations and there that data is analyzed visually and finally necessary action is taken for regulation of water and controlling its quality. ARM (Advanced Risk Machines) controller and programming solve issue of complexity by its functions of reduction in instructions and flexible in working. LCD represents data through Microcontroller and then it is sent to station by WSN. Solar power is being used here in order to avoid carbon emissions, and this system consumes lower power. Its flexibility could be imagined through its proper working at a remote distance in efficient way
Publisher Shah Abdul Latif University, Khairpur
Date 2019-09-04
Type info:eu-repo/semantics/article
Format application/pdf
Identifier http://ijcet.salu.edu.pk/index.php/IJCET/article/view/25
Source International Journal of Computer Science and Emerging Technologies ; Vol 2 No 2 (2018): IJCET Vol 2 Issue 2 Dec 2018; 11-16
Language eng
Relation http://ijcet.salu.edu.pk/index.php/IJCET/article/view/25/23

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