Articles | Volume 11, issue 1
https://doi.org/10.5194/dwes-11-9-2018
https://doi.org/10.5194/dwes-11-9-2018
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: 7,825 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
6,335 1,317 173 7,825 508 156 216
  • HTML: 6,335
  • PDF: 1,317
  • XML: 173
  • Total: 7,825
  • Supplement: 508
  • BibTeX: 156
  • EndNote: 216
Views and downloads (calculated since 18 Aug 2017)
Cumulative views and downloads (calculated since 18 Aug 2017)

Viewed (geographical distribution)

Total article views: 7,825 (including HTML, PDF, and XML) Thereof 6,339 with geography defined and 1,486 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Apr 2026
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.
Share