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The advantages of all-optical network's technics make them one of main elements of the metropolitan area networks. They enable different applications in high quality mulitimedia services and guarantee a constant and reliable access to the Internet. As the growing expansion of the Internet continues in an unpredictable direction, many new solutions are expected. The major challenge is the increasing demand for flexible, transparent and customised bandwidth services for both private and business customers.

This paper presents research on adaptive control (AC) of combustion process in industry. Results were obtained from research conducted in laboratory combustion chamber with usage of Fibre Optical Measurement System (FOMS) with electronic block. Simulation proved that implementing AC and FOMS to burning process improves flue gasses parameters - direct measure of power boiler ecological and economical quality of work.

Burner systems and their control are getting more and more sophisticated and there is a growing need to obtain information about the course of combustion process in individual flames. Optical sensors offer the benefit of being selective, rapid and able to gather data from extremely hostile environments (e.g. the combustion zone of pulverised coal burners or gas turbines). Passive optical sensors offer the further advantage of simplicity, which make them attractive candidates. With the rapidly growing capability of these technologies for sensor hardware, there is an increased interest and need to develop data interpretation strategies that will allow optical flame emission data to be converted into meaningful combustor state information. The article describes various approaches to apply artificial neural network approaches to estimate parameters of combustion. One is acquiring information about emission of nitrogen oxides and carbon monoxide from fiberoptic systems for flame monitoring, developed in Department of Electronics of Lublin University of Technology and another is identification of flames in gas burners.

There are several tens of burners operating in a power boiler and their control based on averaged and delayed measurements (e.g. gas analyzers located inside the chimney) is often not enough effective. The article describes attempts to obtain information about levels of emission of nitrogen oxides and carbon monoxide from the signals of the fiber-optic flame monitoring system developed in the Department of Electronics of the Technical University of Lublin. Artificial neural networks are used for estimation of emission. The article contains description of an object and the measurement system as well as results of research of nitrogen oxides and carbon monoxide modeling.

An analyse of evolutionary algorithm operation allows us to understand how controlled spontaneity of an individual specimen leads to dynamic order of the whole community that efficiently uses emerging adaptive possibilities. This paper presents sequel of research concerning implementation of GA in controlling burning process in industrial conditions. A simulation was conducted and proved that implementing GA to the process is possible and brings improvement of flue gases parameters, what is a direct measure of power boiler quality of work, both in ecologic and economical way.

In this paper we present initial analysis of time series obtained from fiber optic monitoring system. The results indicate that application of GA (Genetic Algorithm) for control of nitrogen oxides (NOx) emission from power burner brings promising results and perspectives for development of fiber optic sensors for combustion quality evaluation.© (2004) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Burning pulverized coal in power boilers causes considerable emission of atmospheric pollution. In order to decrease it the combustion process itself has been modified, however at cost of side effects like: increased level of unburned coal particles in the ashes. There are tens of burners in a single power boiler and emission level measurements are made in flue gas duct, so the control based on such averaged and heavily delayed values often results ineffective. The neural controller of the pulverized coal burner attempts to resolve these problems. The clue is utilization of fiber-optic system for monitoring of chosen zone of flame developed in Department of Electronics of Technical University of Lublin. The article contains description of controlled system and optical fiber measurement system, an idea of the controller as well as some results obtained for experimental burner.

Burning pulverized coal in power boilers causes considerable emission of atmospheric pollution. In order to decrease it the combustion process itself has been modified, however at cost of side effects like: increased level of unburned coal particles in the ashes. There are tens of burners in a single power boiler and emission level measurements are made in flue gas duct, so the control based on such averaged and heavily delayed values often results ineffective. The neural controller of the pulverized coal burner attempts to resolve these problems. The clue is utilization of fiber-optic system for monitoring of chosen zone of flame developed in Department of Electronics of Technical University of Lublin. The article contains description of controlled system and optical fiber measurement system, an idea of the controller as well as some results obtained for experimental burner.