The Method for Determination of Quantitative Parameters of Gaseous Fuel Torch Burning Process Through the Analysis of Torch IR Images

Abstract

The fuel combustion is widely used today. Therefore, the combustion processes investigation and development of advanced combustion control systems are the actual problems. This paper is devoted to the problem of infrared image sequences processing of gaseous fuel burning torch. In this case we work under conditions when the accurate values of emissivity coefficients at each places of torch volume are still unknown. Comparative analysis of published articles on application of infrared scanning to combustion studies shows that it is possible to automate the first steps of raw data processing and create visualization of the torch. But the next steps of data processing have to be done manually. Consequently, the known data processing methods are valid only for the scientific purposes, but not for the industrial usage. It was demonstrated, that known methods of the burning torch infrared images processing cannot provide extrusion of the quantitative parameters of the combustion process. Based on the analysis of the quantity of pixels on the relative temperatures diapasons result, the possibility of informational parameters computing was substantiated. Thus, the combustion process dynamics can be described using stationary time series constructed in accordance with developed method. Comparative analysis of normalized power spectral densities of the constructed time series was performed. The results of analysis justify the informational content of the selected informational parameters, that are computed by suggested method of the data processing.