Abstract:Monitoring and control of combustion flames in utility boilers are required in order to optimize combustion conditions. This paper presents an instrumentation system for the concurrent measurement of the temperature distribution and soot concentration of flames developed on the two-color principle. This system consists of an endoscope, an optical assembly with optical filters, a CCD camera, a frame grabber and associated image processing software. Experiments are performed on a methane-air combustor and the te… Show more
“…8b and c the entire surface lies near the intensity of 150 and 20 approximately. Image J was used to obtain the histogram and surface plots (Jiang et al, 2009).…”
This research work includes a combination of Fisher's Linear Discriminant (FLD) analysis by merging Radial Basis Function (RBF) Network and Back Propagation Algorithm (BPA) for monitoring the combustion conditions of a coal fired boiler. The CCD Camera is used to capture the two dimensional flame images. The features such as images, average intensity, area, brightness and orientation etc., of the flame are extracted after pre-processing the images. The FLD is applied to reduce the n-dimensional feature size to 2 dimensional feature size for faster learning of the RBF network. Also video processing has been done to extract three classes of images corresponding to different burning conditions of the flames. For various flame conditions, the corresponding temperatures and flue gas emissions are obtained using analyzers and sensors. The combustion quality indicates the air/fuel ratio which can be varied automatically. The proposed feed forward control scheme presents an alternative for the existing setup for measuring SOx, NO x , CO and CO 2 emissions that are detected from the samples collected at regular intervals of time in the laboratory or by using gas analyzers. Further training and testing of Parallel architecture of Radial Basis Function and Back Propagation Algorithm (PRBFBPA) with the data obtained has been done and the performance of the algorithms is presented.
“…8b and c the entire surface lies near the intensity of 150 and 20 approximately. Image J was used to obtain the histogram and surface plots (Jiang et al, 2009).…”
This research work includes a combination of Fisher's Linear Discriminant (FLD) analysis by merging Radial Basis Function (RBF) Network and Back Propagation Algorithm (BPA) for monitoring the combustion conditions of a coal fired boiler. The CCD Camera is used to capture the two dimensional flame images. The features such as images, average intensity, area, brightness and orientation etc., of the flame are extracted after pre-processing the images. The FLD is applied to reduce the n-dimensional feature size to 2 dimensional feature size for faster learning of the RBF network. Also video processing has been done to extract three classes of images corresponding to different burning conditions of the flames. For various flame conditions, the corresponding temperatures and flue gas emissions are obtained using analyzers and sensors. The combustion quality indicates the air/fuel ratio which can be varied automatically. The proposed feed forward control scheme presents an alternative for the existing setup for measuring SOx, NO x , CO and CO 2 emissions that are detected from the samples collected at regular intervals of time in the laboratory or by using gas analyzers. Further training and testing of Parallel architecture of Radial Basis Function and Back Propagation Algorithm (PRBFBPA) with the data obtained has been done and the performance of the algorithms is presented.
“…where N is the number of pixel locations, M is the number of images, w( p) is the weighting function that is used to fit the data more near the extreme pixel value, and λ controls the smoothness of g. The first term of (8) ensures the solution satisfies (7), and the second term ensures the function g is smooth. Obviously, this is a typical linear least-square problem that can be solved by such standard methods as singular value decomposition.…”
Section: A Camera Response Function Calculationmentioning
confidence: 99%
“…Then, the transient 2-D temperature is determined from the ratio of gray levels of corresponding pixels within the two images based on the two-color principle. Lu et al [5], Han et al [6], and Jiang et al [7] focus on the 2-D reconstruction of not only the temperature but also the soot concentration of diffusion flame, where the optical transmission and filtering assembly provided two optical paths to meet the requirement in the two-color method. Brisley et al [8] address a 3-D reconstruction method to first reconstruct band-limited grayscale representations of the flame and then to determine its temperature distribution.…”
Two-color pyrometric methods have been widely used in noncontact temperature measurement area. However, it is difficult to get synchronous monochromatic images for twocolor pyrometric formula. Some researches use beam splitter to obtain two or more optical paths to capture the different monochromatic images, but the complex optical paths will bring spatiotemporal matching errors. Another method uses color camera to capture the Red, Green, Blue (RGB) channel images as the RGB monochromatic images, but substituting the Dirac delta function for spectral response function will result in the inaccuracy of the measurement results. In fact, the RGB monochromatic images can be obtained from the color image if the irradiance attenuations from color channel to single wavelength are calibrated. In this paper, a novel 3-D reconstruction method is proposed to measure the temperature distribution of combustion flame. First, the irradiance attenuations are calibrated to calculate the synchronous monochromatic images at R and G wavelengths. Second, the tomographic reconstruction of flame monochromatic emissive power is improved with visual hull restriction so that the energy distribution is more reasonable. Finally, the 3-D temperature distribution is calculated from the reconstructed monochromatic emissive power fields at R and G wavelengths using two-color pyrometric method. The alcohol and butane flames are tested in the laboratory-scale test rig. The experimental results indicate that our approach performs well in flame temperature field reconstruction.Index Terms-3-D reconstruction, flame temperature distribution, monochromatic irradiance, temperature field measurement, two-color pyrometry.
“…The use of a thermographic camera to produce a temperature map of a combustion chamber is presented in [ 6 ]. Temperature distribution and soot concentration of flames measured by the two-colour principle with an endoscope, an optical assembly with optical filters and a CCD camera is presented in [ 8 ]. Huang et al [ 9 ] present two-dimensional temperature measurements of open flames by dual-spectral image analysis.…”
This paper describes a prototype instrumentation system for photogrammetric measuring of bed and ash layers, as well as for flying particle detection and pursuit using a single device (CCD) web camera. The system was designed to obtain images of the combustion process in the interior of a domestic boiler. It includes a cooling system, needed because of the high temperatures in the combustion chamber of the boiler. The cooling system was designed using CFD simulations to ensure effectiveness. This method allows more complete and real-time monitoring of the combustion process taking place inside a boiler. The information gained from this system may facilitate the optimisation of boiler processes.
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