IP: 109.94.221.66 On: Tue, 07 May 2019 03:57:09 Copyright: American Scientific Publishers Delivered by Ingenta RESEARCH ARTICLE Copyright © 2018 American Scientific Publishers All rights reserved Printed in the United States of America Journal of Computational and Theoretical Nanoscience Vol. 15, 616–620, 2018 Air Pollution Monitoring Using WSN in Cement Factory G. Anitha 1 , V. Vijayakumari 2 , S. Malathy 1 * , and S. Jaipriya 1 1 Sri Krishna College of Technology, Coimbatore 641042, Tamil Nadu, India 2 Coimbatore Institute of Engineering and Technology, Narasipuram, Coimbatore 641109, Tamil Nadu, India Industrial revolution has started to rule the world in all aspects. As a result of this, pollutant level of contagious gas in the atmosphere is increasing at an alarming rate. The pollutants in the atmosphere create imbalance in ecosystem which in turn affects the health of human population. Although there existmany methodologies to check the pollutant level in atmosphere, it still remains a challenge for certain cement factories and chemical industries to keep a check on it. Such imbal- ances can be controlled by using appropriate air pollution monitoring system. OPSIS, Uras26, Magnos27 and CODEL are the methods which exist in cement factories to check the pollutant level during the emission from chimney only. Wireless Sensor Network is a versatile technology that can sense, monitor, measure, and gather information. The decision can be made from the collected information. This paper proposes how sensor nodes are deployed in cement factories at various stages of manufacturing process, how the pollutant is measured and conveyed to authority through a communication medium. Keywords: Wireless Sensor Network, Air Pollution Monitoring, Cement Factories, Zigbee. 1. INTRODUCTION World Health Organization claims that due to air pollu- tion nearly 2.4 million people die each year among this 1.5 million die because of indoor air pollution. Air pol- lution causes adverse effects to environment that leads to deterioration of the Ozone layer, smog and acid rain. 1–9 Thereby, monitoring the exceeding level of air pollutant using appropriate technology is the better way to control it. Though many conventional methods are available, our method employs WSN using Zigbee. WSN consists of spatially distributed sensor nodes which will monitor the physical condition of the environ- ment deployed, then gathers data that is transmitted to main location. Certain available standard include 2.4 Ghz radios which is based on IEEE802.11 (wifi standard) or IEEE802.15.4 (zigbee standard). Applications of WSN covers various fields such as health care utilities and remote sensing by eliminating wired system thereby reduc- ing wiring cost, installation and maintenance becomes easier. 2. CEMENT FACTORY In cement factories air pollution is produced during excavation activities, dumps, tips and at kiln emissions. * Author to whom correspondence should be addressed. Applying appropriate technology with essential computer modeling technique at these locations will reduce pollu- tant level at the site. Thus the efficient energy use aided with computer technology can contribute better air quality management at environment. 2.1. Environmental Impacts Due to Cement Manufacturing Process Cement manufacturing is a “voluminous process” and it requires adequate amount of thermal fuels, raw materials and electrical power. Environmental impacts due to cement manufacturing process are categorized as follows Gaseous Emission Carbon dioxide is emitted during clinker formation, a component of cement which is formed while heating (CaCO 3  in rotary kiln will induce series of complex chemical reactions. Figure 1 shows the conversion of car- bonates to oxides. Carbondioxide is emitted as a byproduct during calcination process, that occurs at precalciner or at the upper end of the kiln, at temperatures of 600–900 degree celcius. Dust As a result of burning raw material in a furnace, l exhaust hot gas or exhaust air is generated that will pass through pulverized material resulting in dispersion of gas with mixture of chemical components and particulates. The property of the particulates is same as that of the raw 616 J. Comput. Theor. Nanosci. 2018, Vol. 15, No. 2 1546-1955/2018/15/616/005 doi:10.1166/jctn.2018.7134