International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 05 | May-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 717 ANALYZING WATER QUALITY FOR INDUSTRIAL APPLICATION UNDER IOT ENVIRONMENT Shailaja.M.Gunda Nikkam 1 , Prof. Dr. V. R. Pawar 2 ME Student, Dept. of E&TC, Bharati Vidyapeeth’s College of Engineering for Women, Savitribai Phule Pune University, Pune, India Associate Professor, Dept. of E&TC, Bharati Vidyapeeth’s College of Engineering for Women, Savitribai Phule Pune University, Pune, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Now a day’s water get polluted by several resources and analyzing its quality is a biggest deal for globalization to tackle this major problem need to monitor continuously the quality of the water, so that first need get the water parameter like its Temperature ,PH , Turbidity and Level of the water in which rate of water get flush out from industry . By manually monitoring the water quality is very time consuming as well as its complicated to get water parameter in real time. To overcome this testing equipments are going to be place in the reservoir as the variations occurs in these parameter will get to know the presence of pollutants. In this paper a new approach has been adopted to analyze the quality of the water under IoT environment. The proposed system contains data acquisitions node, controlling unit as ARM, base station and monitoring unit, where all these units are connected to each other .Data can be collected from various sensor and each sensors has its own way to read the data about physical phenomenon ,so necessity to write diverse code for each sensor for data collection procedures. Meanwhile to control and to do some preprocessing work MCU unit has been adopted, after data collection from various sensor such as its Temperature, Turbidity, PH, etc at base station is sent to display on monitoring node and also compared with standard values .By continually monitoring water quality people get awareness locality water condition so we can minimize its critical effect on human life ,filed, animals etc with high frequency. Key Words: Internet of things (IoT), WSN, MCU, Communication standards, Temperature sensor, level sensor, Turbidity sensor. 1. INTRODUCTION At present situation we all are facing global warming the main reason for global warming is pollution which may be water pollution or environment pollution this critical issue can be avoided by protecting environment. Meanwhile water pollution is major task which we are numerously facing now days. Water get polluted due to industrial wastages, or due disaster or by humans. This paper presented different technologies, parameters to analyze the water quality. In which IoT is being considered as a technological invention which provides a worldwide network to interconnect objects and its advancement depends on a various new technologies, like WSN, cloud computing and information sensing [4]. As given below figure 1 IoT architecture consist three layer in which combined with sensing objects, integration part and number of sensor nodes, modeling techniques, communication protocols, security and privacy[9]. Figure 1 IoT Architecture. Wireless sensor networks (WSN) are widely used in various kinds of application to sense and collect data about physical things for get better understanding. Monitoring system is depends on wireless sensor conception which contains sensor nodes, clustering ,sink node and has a limited power source to conquer this they were extended network lifetime by dynamic power management and scheduled switching mode protocol[11]. End node of IoT frequently transmit the sensed data from cluster node to server ,whereas to analyze redundant data ,duplicate reading and how efficiently data can aquire,transmite , store among several source node is remain a difficult task. To get better solution for this Shancang Li et.al [4] studied compressed sensing (CS)