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Drinking Water Engineering and Science An interactive open-access journal
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Discussion papers
https://doi.org/10.5194/dwes-2018-35
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/dwes-2018-35
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 Feb 2019

Research article | 07 Feb 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Drinking Water Engineering and Science (DWES).

Raspberry Pi based Smart Sensing Platform for Drinking Water Quality Monitoring System: A Python Framework Approach

Punit Khatri1, Karunesh Kumar Gupta1, and Raj Kumar Gupta2 Punit Khatri et al.
  • 1Department of Electrical and Electronics Engineering, Birla Institute of Technology & Science (BITS), Pilani-333031, India
  • 2Department of Physics, Birla Institute of Technology & Science (BITS), Pilani-333031, India

Abstract. Drinking or potable water quality monitoring is essential for mankind as it affects the human health directly or indirectly. This work reports a smart sensing platform for potable water quality monitoring. Five water quality parameters (pH, Dissolved Oxygen, Oxidation Reduction Potential, Electrical Conductivity, and Temperature) have been selected to monitor the water quality. The selection of water quality parameters is made based on guidelines of the Central Pollution and Control Board, New Delhi, India. A Graphical User Interface (GUI) is developed to provide an interactive Human Machine Interface for the end user. Python programming language is used for GUI development, data acquisition and for data analysis. Fuzzy computing technique is employed for decision making to categorize the water quality in different classes like bad, poor, satisfactory, good and excellent. The system has been tested for various water resources and results have been displayed.

Punit Khatri et al.
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Status: open (until 21 Mar 2019)
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Latest update: 18 Feb 2019
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Short summary
Water quality monitoring is essential before consumption as the available water is contaminated and can cause illness in an individual. The traditional methods for water quality monitoring require sample collection at different sites and subsequent laboratory test which is labor as well as cost intensive. To, overcome this problem, a real-time water quality measurement platform is designed which can provide on-site efficient water quality monitoring.
Water quality monitoring is essential before consumption as the available water is contaminated...
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