Automated Sensor Network for Monitoring and Detection of Impurity in Drinking Water System

Abstract

This paper describes a low cost and holistic approach to the water quality monitoring problem for drinking water distribution systems as well as for consumer sites. Our approach is to develop sensor nodes for real time and in-pipe monitoring, assessment of water quality on the fly and to calculate the amount of water delivered. The main sensor node consists of several inpipe electrochemical and optical sensors and emphasis is given on low cost, lightweight implementation, and reliable long time operation. Such implementation is suitable for large scale deployments enabling a sensor network approach for providing spatiotemporally rich data to water consumers, water companies, and authorities. Based on selected parameters, a sensor array is developed along with several microsystems for analog signal conditioning, processing, logging, and remote presentation of data. Testing are performed to estimate and validate these calculated contamination events of various concentrations of escherichia coli bacteria and heavy metals (arsenic). Experimental results indicate that this inexpensive system is capable of detecting these high impact contaminants at fairly low concentrations.

Authors and Affiliations

J. Ramprabu, C. Paramesh

Keywords

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  • EP ID EP19473
  • DOI -
  • Views 271
  • Downloads 6

How To Cite

J. Ramprabu, C. Paramesh (2015). Automated Sensor Network for Monitoring and Detection of Impurity in Drinking Water System. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(1), -. https://europub.co.uk/articles/-A-19473