Impact of NOx emissions on climate and monitoring using smart sensor technology

Human resource is of great assert, as it is the gift of nature. Exploitation of human resources should strictly be monitored on health aspects. The power generation sectors in view to increase the combustion quality for enhancing the power production contribute to green house gases which is a threat to human health. The prime aspiration is in detection, recognition and understanding of combustion conditions in power plants ensuring low Nitrogen Oxide (NOx) emissions for protecting the human health from hazardous gases. The colour information from the furnace flame images is the foundation for this scheme. The process of estimating the NOx emissions using a feed forward controller is implemented using Back propagation Algorithm (BPA) and Ant Colony Optimization (ACO). The challenge lies in identification of the 10 attributes used for training the ANN so as to estimate the NOx emissions. The estimation by ANN is termed as intelligent sensors embedded in the computing system to monitor using (IoT). This method proves to be indispensable because this IoT based online monitoring has reduced the percentage of emissions by 19% thereby increasing the combustion quality which has profound effect on human health.