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Drink. Water Eng. Sci., 11, 9-17, 2018
https://doi.org/10.5194/dwes-11-9-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
05 Feb 2018
Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring
Jyotirmoy Bhardwaj1, Karunesh K. Gupta1, and Rajiv Gupta2 1Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, 333031, India
2Department of Civil Engineering, Birla Institute of Technology and Science, Pilani, 333031, India
Abstract. New concepts and techniques are replacing traditional methods of water quality parameter measurement systems. This paper introduces a cyber-physical system (CPS) approach for water quality assessment in a distribution network. Cyber-physical systems with embedded sensors, processors and actuators can be designed to sense and interact with the water environment. The proposed CPS is comprised of sensing framework integrated with five different water quality parameter sensor nodes and soft computing framework for computational modelling. Soft computing framework utilizes the applications of Python for user interface and fuzzy sciences for decision making. Introduction of multiple sensors in a water distribution network generates a huge number of data matrices, which are sometimes highly complex, difficult to understand and convoluted for effective decision making. Therefore, the proposed system framework also intends to simplify the complexity of obtained sensor data matrices and to support decision making for water engineers through a soft computing framework. The target of this proposed research is to provide a simple and efficient method to identify and detect presence of contamination in a water distribution network using applications of CPS.

Citation: Bhardwaj, J., Gupta, K. K., and Gupta, R.: Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring, Drink. Water Eng. Sci., 11, 9-17, https://doi.org/10.5194/dwes-11-9-2018, 2018.
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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.
Reliable and effective continuous water quality monitoring has always been challenging. To...
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