International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,May 2017,

Topic : A Survey on Water Quality Analysis for Industrial Application under IOT Environment

Authors:P.Kalamani, || Divya R Krishnan, Meghana B.V, Mary Theresa M, Himadri Sengupta

Abstract:Internet of Things (IoT) is global network of “smart device” that can sense and interrelate with their environment using the internet for their communication and interaction with users and other systems. The traditional method of testing Turbidity, PH & Temperature is to collect samples manually and then send them to laboratory for analysis. However, it has been unable to meet the demands of water quality monitoring today. By manually monitoring the water quality is very time consuming as well as its complicated to get water parameter in real time. To overcome this a set of Monitoring of Turbidity, PH & Temperature of Water quality are going to be placed in the reservoir as the variations in these parameter will get to know the presence of pollutants. In this paper a new approach has been adopted to analyze the quality of the water under IoT environment. The proposed system contains data acquisitions node, controlling unit as ARM, base station and monitoring unit, where all these units are connected to each other .Data can be collected from various sensor and each sensors has its own way to read the data about physical phenomenon ,so necessity to write diverse code for each sensor for data collection procedures. Meanwhile to control and to do some pre-processing work MCU unit has been adopted, after data collection from various sensor such as its Temperature, Turbidity, PH, etc at base station is sent to display on monitoring node and also compared with standard values .By continually monitoring water quality people get awareness locality water condition so we can minimize its critical effect on human life ,filed, animals etc with high frequency..

Keywords: Internet of things (IoT), WSN, MCU, Communication standards, Temperature sensor, level sensor, Turbidity sensor

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DOI: 01.1617/vol4/iss5/pid56840


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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