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

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Cited articles

Adhikari, U., Morris, T., and Pan, S.: WAMS cyber-physical test bed for power system, cybersecurity study, and data mining, IEEE T. Smart Grid, 8, 2744–2753, https://doi.org/10.1109/TSG.2016.2537210, 2016. 
Ali, S., Qaisar, S. B., Saeed, H., Khan, M. F., Naeem, M., and Anpalagan, A.: Network challenges for cyber physical systems with tiny wireless devices: a case study on reliable pipeline condition monitoring, Sensors, 15, 7172–7205, 2015. 
Arduino: Arduino MEGA 2560 Rev 3, available at: https://store.arduino.cc/usa/arduino-mega-2560-rev3, last access: 23 September 2017. 
Ari, N. and Mamatnazarova, N.: Symbolic python, in: IEEE 11th International Conference on Electronics, Computer and Computation (ICECCO), Abuja, Nigeria, 29 September–1 October 2014, 1–8, https://doi.org/10.1109/ICECCO.2014.6997580, 2014. 
Atlas Scientific: Atlas Scientific Environmental Robotics, available at: https://www.atlas-scientific.com/, last access: 23 September 2017. 
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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.