Portable H2O Quality Monitoring and Cloud Reporting System

Authors

  • Shraddha Shetty  Depratmentof CSE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India
  • Shriya Srinivasan  Depratmentof CSE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India
  • Sindhu S  Depratmentof CSE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India
  • Veena K P  Depratmentof CSE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India
  • Gururaj H L  Assistant Professor, Depratmentof CSE, Vidyavardhaka College of Engineering, Karnataka, India

Keywords:

pH sensor, Turbidity sensor, Temperature sensor, Conductivity sensor, Arduino Uno model, IoT, Water Quality Monitoring.

Abstract

In order to ensure the safe supply of drinking water the quality needs to be monitored in real time. For this purpose, IoT based” Portable H2O Quality Monitoring and Cloud Reporting System” has been proposed. In this paper, we present the design and development of a portable water quality monitoring system that monitor the quality of water in real time. This system consists of some sensors which are used to measure the physical parameters of water such as pH, turbidity, conductivity and temperature. The measured values from the sensors are read by the microcontroller and these values are sent to the cloud using ESP-8266 Wi-Fi module. The data from the sensors can be viewed in the GUI and reports are sent accordingly.

References

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

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Published

2018-05-08

Issue

Volume 4, Issue 6, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

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

How to Cite

[1]
Shraddha Shetty, Shriya Srinivasan, Sindhu S, Veena K P, Gururaj H L, " Portable H2O Quality Monitoring and Cloud Reporting System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.481-489, May-June-2018.