Flame stability monitoring and characterization through digital imaging and spectral analysis

Abstract

This paper presents the design, implementation and evaluation of an instrumentation system for the stability monitoring and characterization of combustion flames. The system, incorporating optical sensing, image processing and spectral analysis techniques, is designed to monitor a range of flame characteristic parameters. The stability of the flame is assessed through statistical analysis of the flame parameters obtained. Embedded computer techniques are employed to ensure the compactness and robustness of the system. Experiments were conducted on a gas-fired combustion test rig to evaluate the system. The impact of equivalence ratio on the stability of the gaseous flame is investigated. Further trials were carried out on a 9 MWth heavy-oil-fired combustion test facility. The impact of the swirl vane angle of tertiary air on the oil-fired flames is studied. The results demonstrate the effectiveness of the system for the monitoring and characterization of the flame stability.

Quantitative Assessment of Flame Stability Through Image Processing and Spectral Analysis

“…Experimental work was undertaken on a 9MWth industrial-scale heavy-oil-fired combustion test facility, as illustrated in Figure 4. The furnace is equipped a single low NOx burner in a horizontal cylindrical combustion chamber with 11 meters in length and 1.3 meters in diameter [19]. 8b), suggesting that the SA swirl vane position has a significant impact on both the geometrical and kinetic characteristics of the flame.…”

Combining flame monitoring techniques and support vector machine for the online identification of coal blends

“…Flame images and light intensity signals are synchronically acquired and processed using the PC with dedicated software. More details of the prototype system are described by Sun et al (2011). With the introduced serial device and network switch, the signal transmission of the improved system is more stable than that of the prototype system (Sun et al, 2011;Zhou et al, 2014) which is controlled through a remote desktop.…”

Measurement of soot temperature, emissivity and concentration of a heavy-oil flame through pyrometric imaging

“…The measurement of the soot temperature, emissivity and concentration of a flame is an integral part of the flame imaging system [10]. The system consists of a 90° viewingangle optical probe protected by a water-cooled jacket, a 1/3-inch CMOS (Complementary Metal Oxide Semiconductor) RGB camera with a resolution of 1280H×1024V pixels, and an embedded motherboard with dedicated application software.…”

“…The embedded motherboard ensures all the measurements can be conducted on an on-line basis. The detailed structure and description of the system can be found elsewhere [10].…”

“…1. A polynomial function, as in (9), is used to fit the relationship, It has been proven that the system exhibits a linear characteristic for different camera exposure times [10]. This suggests that the accuracy of the temperature measurement will not be affected by the variation in exposure time.…”