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Combustion Quality Estimation in Carbonization Furnace Using Flame Similarity Measure

  • Fredy MartínezEmail author
  • Angelica Rendón
  • Pedro Guevara
Conference paper
  • 711 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9939)

Abstract

Similarity distance measures are used to study the similarity between patterns. We propose the use of similarity measures between images to estimate the quality of combustion in a furnace designed for carbonization processes in the production of activated carbon. Broadly speaking, the production of activated carbon requires two thermal processes: carbonization and activation. One of the most sensitive variables in both processes is the level of oxygen. For carbonization, the process involves thermal decomposition of vegetal material in the absence of air. For activation, the gasification of the material at high temperature is required, and one of the oxidizing agents used is oxygen. Given the complexity of measuring the oxygen level because of the functional characteristics of the furnaces, we propose a strategy for estimating the quality of combustion, which is directly related to the oxygen level, based on similarity measures between reference photographs and the flame states. This strategy corresponds to the instrumentalization of methods used by operators in manual control of the furnaces. Our algorithm is tested with reference photos taken at the production plant, and the experimental results prove the efficiency of the proposed technique.

Keywords

Activated carbon Carbonization Distance Flame Similarity 

Notes

Acknowledgments

This work was supported by Colciencias through the project 622470149090, by Tecsol Industries Limited and the District University Francisco José de Caldas. The views expressed in this paper are not necessarily endorsed by Colciencias, Tecsol or District University. The authors thank the research group ARMOS for the evaluation carried out on prototypes of ideas and strategies.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Fredy Martínez
    • 1
    Email author
  • Angelica Rendón
    • 1
  • Pedro Guevara
    • 2
  1. 1.District University Francisco José de CaldasBogotá D.C.Colombia
  2. 2.Tecsol Industries LimitedBogotá D.C.Colombia

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