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.
A Decision-Making Method for the Loop Closing Operation in 10kV Distribution Network
