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Published at the SENSOR 95 Kongre. Nurnberg, Germany, May 1995. VisionGuided Flame Control 1
 

Summary: Published at the SENSOR 95 Kongreß. N¨urnberg, Germany, May 1995.
Vision­Guided Flame Control 1
Hans Burkhardt, Lars Oest, Wenjing Tao
Technische Universit¨at Hamburg­Harburg, Technische Informatik I,
Harburger Schloßstr. 20, D­21071 Hamburg
Abstract
This paper is concerned with monitoring and control of combustion processes using image processing
techniques. For closed­loop control we investigated two different approaches, namely optimization tech­
niques as well as fuzzy logic and neural networks. Both control strategies are able to ``learn'' an optimal
burning state which is set up by a human expert. Advantages and disadvantages are discussed and expe­
rimental results are presented.
1 Introduction
Optimization of combustion is a very demanding task. A thorough analysis of such a complex fluid dynamical,
reactive process is the basis for a reduction of pollutant emission or for an enhancement of efficiency. Common
measurement techniques like local point measurements or exhaust analysis give only little information for
an interpretation of the whole burning process. Optical sensor arrays, used e.g. in video cameras, however,
provide an enormous amount of information, which can be used to analyze a process or for on­line control.
camera
oxygen combustible
controller

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences