Drinking Water Engineering and Science
Drinking Water Engineering and Science
Drinking Water Engineering and Science
Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
https://doi.org/10.5194/dwes-11-9-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/dwes-11-9-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 1
Research article
 | 
05 Feb 2018
Research article |  | 05 Feb 2018

Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring

Jyotirmoy Bhardwaj, Karunesh K. Gupta, and Rajiv Gupta

Viewed

Total article views: 7,501 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,140 1,216 145 7,501 476 132 164
  • HTML: 6,140
  • PDF: 1,216
  • XML: 145
  • Total: 7,501
  • Supplement: 476
  • BibTeX: 132
  • EndNote: 164
Views and downloads (calculated since 18 Aug 2017)
Cumulative views and downloads (calculated since 18 Aug 2017)

Viewed (geographical distribution)

Total article views: 7,501 (including HTML, PDF, and XML) Thereof 6,023 with geography defined and 1,478 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Nov 2025
Download
Short summary
Reliable and effective continuous water quality monitoring has always been challenging. To detect water quality, deployment of multiple sensor nodes in a water distribution network generates complex and convoluted data sets. This paper demonstrates the implementation of a cyber-physical system along with soft-computing approaches (Python and fuzzy). The designed system monitors water quality in real time, simplifies the complexity of sensor data and assists water engineers in decision making.
Read more
Share