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An Effective Distributed Service Model for Image Based Combustion Quality Monitoring and Estimation in Power Station Boilers

  • K. Sujatha
  • K. Senthil Kumar
  • T. Godhavari
  • R. S. Ponmagal
  • N. P. G. Bhavani
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 362)

Abstract

This research work deals with monitoring of combustion quality in power station Boilers using Service Oriented Architecture which is used to minimize the flue gas emissions at the exit. A model of distributed industrial boilers and integrate it with the Internet through Service Oriented Architectural paradigm is designed. This strategy can be applied to monitor and control the industrial boiler process parameters such as Flame Temperature and Flame intensity. It is proposed to consider the use of service oriented architecture to program and deploy the boiler process parameters. The cost effective technique to develop an intelligent combustion monitoring system is discussed in this paper. A combination of image processing algorithm with Bayesian Classifier is used. The feature extraction was done using Image J and feature reduction was done using Support Vector Machine (SVM). The classification of the flame images based on the features was done using the Bayesian approach whose results are also validated. The combination of the two techniques proved to be beneficial so as to monitor the combustion quality at the furnace level is made possible. Moreover the flue gas emissions are minimized which reduces air pollution. The Service Oriented Architecture is designed to access boiler combustion parameter such as flame intensity as a service and implemented in such a way that for every specific requirement of the monitor/control center, the services of the boilers are invoked through a registry and the specific changes in the combustion parameters are also notified. Different boilers of a power plant can be networked together to monitor different combustion process parameters, and they have been integrated with Internet by registering them as services; hence a complete distributed integration environment is exploited. The aim of this paper is to construct a model of distributed industrial sensors and integrate it with the Internet through Service Oriented Architectural paradigm. This strategy can be applied to monitor and control the industrial process parameters such as Temperature, Pressure, the level of CO, CO2, NOx, and Combustion Quality. It is proposed to consider the use of service oriented architecture to program and deploy the sensed process and pollution parameters. The Service Oriented Architecture for sensor network has been extended to Cloud, to access sensor as a service and implemented in such a way that for every specific requirement of the monitor/control center, the assimilation regulator invoke the services of the sensors through a registry and the specific changes in the sensed parameters are also notified as auditable event using push interaction pattern of SOA. The sensed parameters and the combustion quality level can be viewed through mobile, using appropriate authentication.

Keywords

Combustion quality Support vector machine Bayes net classifier Naives bayes classifier Image processing Euclidean distance Service oriented architecture Sensor cloud 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • K. Sujatha
    • 1
  • K. Senthil Kumar
    • 1
  • T. Godhavari
    • 1
  • R. S. Ponmagal
    • 2
  • N. P. G. Bhavani
    • 2
  1. 1.EEE/ECE/CSE Department, Center for Electronics Automation and Industrial Research (CEAIR)Dr. M.G.R. Educational and Research Institute UniversityChennaiIndia
  2. 2.EEE Department, Center for Electronics Automation and Industrial Research (CEAIR)Dr. M.G.R. Educational and ResearchChennaiIndia

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