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

Abstract

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.

Raspberry Pi-based smart sensing platform for drinking-water quality monitoring system: a Python framework approach

“…Nowadays, the Raspberry Pi board is being used in many real-time applications (e.g. Bhardwaj implemented water quality monitoring based on the cyber-physical system (CPS) using an Arduino Uno board (Bhardwaj et al, 2018). Although Arduino is userfriendly, the reason for selecting the Raspberry Pi for this work is its computational capabilities, which cannot be reached in the Arduino platform.…”

“…Salunke developed a smart sensor interface for water quality monitoring in the IoT environment, in which only two water quality parameters (pH and turbidity) can be measured (Salunke and Kate, 2017). Bhardwaj has developed the water quality monitoring system in which there was no GUI (Bhardwaj et al, 2018). Rahmat designed the real-time monitoring system for water pollution (Rahmat et al, 2017).…”

“…Drinking-water quality monitoring is essential before consumption in daily life, as it may affect human health directly or indirectly (Bhardwaj et al, 2018). As much as 80 % of illnesses are linked to poor quality water and sanitation conditions (Anan, 2003).…”

Raspberry Pi based Smart Sensing Platform for Drinking Water Quality Monitoring System: A Python Framework Approach

“…Bhardwaj implemented the Cyber-Physical System (CPS) based water quality monitoring (Bhardwaj et al, 2018) using…”

Fuzzy Rules

“…Therefore, implementation of Python is preferred over Arduino IDE. Refer to file Supplementary_Material_1 (see Supplement or Bhardwaj and Gupta, 2017) for pH data acquisition programming module from Arduino IDE.…”