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.

 EXISTING SYSTEM :

 ? The development of a dedicated instrument has been carried out in order to improve the characteristics of existing commercial probes. ? The most common case of existing infrastructures, the installation of nodes in branches already present in treatment stations and inspection wells appeared as the most straightforward solution. ? It basically considers with a purification systems which consists of different filtering units, impurity sensing circuitry and DC pump for fetching the water to be processed. ? Water is one of the most essential need for the existence of human beings. The water that is available for drinking is usually contaminated by the industrial wastes and the debris found on the rock surfaces in lakes, ponds and wells.

 DISADVANTAGE :

 ? Water contamination by toxic heavy metals and especially arsenic contamination is a common problem encountered in many countries due to undue deposition of mining, agricultural, industrial and urban wastes in water resources. ? However, substantial proportion of contamination problems is attributable to problems within distribution systems and due to the limited spatio-temporal sampling, it is impossible for the water companies and consumers to know the quality of potable water delivered to consumer households. ? Convectional pH glass electrodes have various disadvantages due to the intrinsic nature of the glass membrane.

 PROPOSED SYSTEM :

 • This proposed system provides installing the system in several locations of the water distribution network to collect spatiotemporally rich water quality data and characterize system/sensors response in real field deployments by thus making it a smart city. • The purpose of this paper is to develop a low-cost device that can be used at consumers’ prefaces to continuously track qualitative water parameters and fuse multi-parametric sensor output to assess the amount of water consumption. • Several wireless sensor networks have been proposed for real-time monitoring of drinking water quantity and quality, both in the environment and in pipelines.

 ADVANTAGE :

 ? There is a clear need for continuous on-line water tone supervising with efficient comprehensive resolution. ? In order to reliably and efficiently notice potential contaminants, the monitors must be tender to the presence of a wide range of factors and there must be a sufficient number of appropriate monitors so that detection occurs in a timely manner. ? The pH sensor embeds an RTD sensor which is used for temperature sensing and temperature compensation of pH and EC measurements. ? However, the presence of E.coli is used to indicate that other pathogenic organisms may be present (often of faecal origin). ? The goal is to develop a low cost, easy to use and accurate enough turbidity sensor for continuous in pipe turbidity monitoring in water distribution systems using commercial off-the self-components.