Temperature and oxygen visual estimator for carbonization process control

Fredy Martínez; Fernando Martínez; Holman Montiel

doi:10.1117/12.2266998

8 February 2017 Temperature and oxygen visual estimator for carbonization process control

Fredy Martínez, Fernando Martínez, Holman Montiel

Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 1022522 (2017) https://doi.org/10.1117/12.2266998
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan

Abstract

This paper proposes a visual estimator for temperature and oxygen content for closed loop control of carbonization furnace in the production of activated carbon. The carbonization process involves thermal decomposition of vegetal material in the absence of air; this requires rigorous sensing and control of these two variables. The system consists of two cameras, a thermographic camera to estimate the temperature, and a traditional digital camera to estimate the oxygen content. In both cases we use similarity measures between images to estimate the value of the variables into the furnace, estimation that is used to control the furnace flame. The algorithm is tested with reference photos taken at the production plant, and the experimental results prove the performance of the proposed technique.

Citation Download Citation

Fredy Martínez, Fernando Martínez, and Holman Montiel "Temperature and oxygen visual estimator for carbonization process control", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 1022522 (8 February 2017); https://doi.org/10.1117/12.2266998

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