Abstract

New concepts and techniques are replacing traditional methods of water quality parameters measurement systems. This paper proposed a new way of potable water quality assessment in distribution network using Multi Sensor Array (MSA). Extensive research suggests that following parameters i.e. pH, Dissolved Oxygen (D.O.), Conductivity, Oxygen Reduction Potential (ORP), Temperature and Salinity are most suitable to detect overall quality of potable water. Commonly MSA is not an integrated sensor array on some substrate, but rather comprises a set of individual sensors measuring simultaneously different water parameters all together. Based on research, a MSA has been developed followed by signal conditioning unit and finally, an algorithm for easy user interfacing. A dedicated part of this paper also discusses the platform design and significant results. The Objective of this proposed research is to provide simple, efficient, cost effective and socially acceptable means to detect and analyse water bodies regularly and automatically.

Highlights

  • Water quality detection is paramount requirement before consumption by all human activities ranging from potable purpose to industrial and agriculture process

  • Two dimensional approach has been followed in this paper. It discusses the requirements of integrated multi sensor array in water distribution network

  • It presents the design and development steps of low cost autonomous Integrated Multi sensor array that can be used by companies and consumers

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Summary

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To cite this article: Jyotirmoy Bhardwaj et al 2018 IOP Conf. View the article online for updates and enhancements. - Monitoring the Water Quality in the Recycling Process A Antonyová, P Antony and B Soewito. - Bioimpedance-Based Wearable Measurement Instrumentation for Studying the Autonomic Nerve System Response to Stressful Working Conditions J Ferreira, L Álvarez, R Buendía et al. - Risk Assessment of Distribution Network Based on Random set Theory and Sensitivity Analysis Sh Zhang, C X Bai, J Liang et al

Introduction
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