Articles | Volume 12, issue 1
https://doi.org/10.5194/dwes-12-31-2019
https://doi.org/10.5194/dwes-12-31-2019
Research article
 | 
25 Jun 2019
Research article |  | 25 Jun 2019

Raspberry Pi-based smart sensing platform for drinking-water quality monitoring system: a Python framework approach

Punit Khatri, Karunesh Kumar Gupta, and Raj Kumar Gupta

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Cited articles

Alkandari, A. A. and Moein, S.: Implementation of Monitoring System for Air Quality using Raspberry PI: Experimental Study, Indones. J. Elec. Eng. Comput. Sci., 10, 43–49, https://doi.org/10.11591/ijeecs.v10.i1.pp43-49, 2018. 
Anan, K.: `Water-Related Diseases Responsible For 80 Per Cent of All Illnesses, Deaths In Developing World', Says Secretary-General In Environment Day Message, UN, 1, available at: http://www.un.org/press/en/2003/sgsm8707.doc.htm (last access: 6 February 2018), 2003. 
Anilkumar, B. and Srikanth, K. R. J.: Design and development of real time paper currency recognition system of demonetization New Indian Notes by using raspberry Pi for visually challenged, Int. J. Mech. Eng. Technol., 9, 884–891, 2018. 
Anon: SciKit-Fuzzy – skfuzzy v0.2 docs, available at: http://pythonhosted.org/scikit-fuzzy/overview.html, last access: 20 March 2018. 
Bernabé, G., Hernández, R., and Acacio, M. E.: Parallel implementations of the 3D fast wavelet transform on a Raspberry Pi 2 cluster, J. Supercomput., 74, 1765–1778, https://doi.org/10.1007/s11227-016-1933-2, 2018. 
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Short summary
Drinking-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 a subsequent laboratory test which is labor- and cost-intensive. To, overcome this problem, a real-time drinking water quality measurement platform is designed which can provide on-site efficient water quality monitoring.