IOT Based Water Quality Monitoring System

Authors

  • Mourvika Shirode  Department of Electronics & Telecommunication Keystone School of Engineering, Pune, Maharashtra, India
  • Monika Adaling  Department of Electronics & Telecommunication Keystone School of Engineering, Pune, Maharashtra, India
  • Jyoti Biradar  Department of Electronics & Telecommunication Keystone School of Engineering, Pune, Maharashtra, India
  • Trupti Mate  Department of Electronics & Telecommunication Keystone School of Engineering, Pune, Maharashtra, India

Keywords:

Waterquality,PH,Conductivity,Temperature,Turbidity,IOT,Wi-fi(ESP8266).

Abstract

The conventional method of testing water quality is to gather samples of water manually and send to the lab to test and analyze. This method is time consuming, wastage of man power, and not economical. The water quality measuring system that we have implemented checks the quality of water in real time through various sensors (one for each parameter: pH, conductivity, temperature, turbidity) to measure the quality of water. As a variation in the value of this parameter points towards the presence ofpollutants. The Wi-fi module in the system transfers data collected by the sensors to the microcontroller, andtransfers the data to the smart phone/PC. This system can keep a strict check on the pollution of the water resources and be able to provide an environment for safe drinking water.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mourvika Shirode, Monika Adaling, Jyoti Biradar, Trupti Mate, " IOT Based Water Quality Monitoring System , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1423-1428, January-February-2018.