A Combustion Diagnosis Method for Pulverized Coal Boilers using Flame-Image Recognition Technology

Kurihara, Nobuo; Nishikawa, Manabu; Watanabe, Akira; Satoh, Y.; Ohtsuka, Keizou; Miyagaki, H.; Higashi, T; Masai, T.

doi:10.1109/tec.1986.4765706

Cited by 25 publications

(7 citation statements)

References 3 publications

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“…Therefore, the initial temperature can be estimated by the relation. Then the temperature measurement coefficient can be obtained by Equation (6). Finally, the flame temperature can be calculated by the two-color pyrometry formula.…”

Section: Temperature Measurement Coefficient Calibrationmentioning

confidence: 99%

“…Accurate measurement of flame temperature is very important in order to adjust the combustion model, optimize the combustion process and control the pollutant emissions. With the development of digital image technology in recent years, radiation thermometry based on color CCD has become a hot topic in the research field of temperature measurement [1][2][3][4][5]; it is widely used in scientific research, industrial production and national defense research [6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Temperature Measurement Method of Flame Image Fusion with Different Exposures

et al. 2020

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Fixed exposure will lead to underexposure or overexposure of collected flame radiation images using CCD, which has a great influence on the temperature measuring accuracy. A temperature measurement method was proposed by image fusion with multi-exposure, which can eliminate the influence of insufficient underexposure and overexposure. The approach was first to acquire a group of flame radiation images during different exposures. Then a partial region with good exposure effect in each radiation image was obtained by segmentation, with which the complete flame image can be spliced together. An experimental system was built to calibrate the temperature measurement parameters by two-color pyrometry through a blackbody furnace. The relation between exposure time and monochromatic gray level, as well as the relation between the temperature and temperature measurement coefficient were obtained. A candle flame was selected as the measuring object and the complete and accurate flame temperature distribution was acquired following our proposed method. The experimental results show that, compared with the temperature measurement using a single exposure time, our method can effectively avoid the measurement error caused by underexposure and overexposure, and improve the measurement accuracy.

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Section: Temperature Measurement Coefficient Calibrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Temperature Measurement Method of Flame Image Fusion with Different Exposures

et al. 2020

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“…its geometric and luminous parameters, temperature distribution or its oscillation frequency, provide detailed information about combustion efficiency and stability, which can be used to develop optimization strategies of monitoring and control algorithms [1][2][3][4][5][6]. Different research groups have investigated pulverized fuel flames by using advanced digital processing of flame images acquired with CCD (charge-coupled device) cameras, enabling the extraction of relevant flame features [7][8][9][10][11][12][13]. Some of these studies aimed to establish possible relationships between image features as well as operational and performance parameters such as swirl number or NOx emissions in both gas and pulverized fuel flames [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Analysis of industrial flame characteristics and constancy study using image processing technique

Samantaray¹,

Mohanta²

2015

J. Mech. Eng. Sci.

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The study of characterizing and featuring different kinds of flames has become more important than ever in order to increase combustion efficiency and decrease particulate emissions, especially since the study of industrial flames requires more attention. In the present work, different kinds of combustion flames have been characterized by means of digital image processing (DIP) in a 500 kW PF pilot swirl burner. A natural gas flame and a set of pulverized fuel flames of coal and biomass have been comparatively analyzed under co-firing conditions. Through DIP, statistical and spectral features of the flame have been extracted and graphically represented as two-dimensional distributions covering the root flame area. Their study and comparison leads to different conclusions about the flame behavior and the effect of co-firing coal and biomass in pulverized fuel flames. Higher oscillation levels in co-firing flames versus coal flames and variations in radiation regimen were noticed when different biomasses are blended with coal and brought under attention.

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“…In recent years, flame image processing techniques have been used in combustion diagnosis [5][6][7][8], as well as in temperature measurement in coal-fired furnaces [9][10][11][12][13]. However, the flame images obtained from these systems are limited to two dimensions only, and the third dimension, line-of-sight direction, has not been taken into account.…”

Section: Introductionmentioning

confidence: 99%