Collaborative measurement method of flame multi-parameter field based on active and passive optical tomography fusion detection

Abstract

The invention relates to a flame multi-parameter field collaborative measurement method based on active and passive optical tomography fusion detection, which belongs to the technical field of high temperature thermal radiation measurement. Because there is no method for measuring the three-dimensional spatial distribution of multi-parameters such as flame temperature, component concentration and pressure at present. According to the method of the present invention, the infrared tunable laser projection signal is detected, and the infrared laser tomography absorption spectrum is used to solve the spectral radiation physical property parameter distribution of the flame, combined with the flame light field radiation image signal detected by the infrared light field camera, through The inverse problem is solved to obtain the three-dimensional temperature field of the high-temperature flame, and then according to the decoupling form of Beer-Lambert’s law of infrared absorption spectrum, the inverse problem solving idea of ​​laser detection signal and multi-parameter collaborative reconstruction is used to solve the component concentration and Pressure field distribution. The invention is used to realize the collaborative reconstruction of multiple parameters of the high-temperature flame.

Description

technical field [0001] The invention belongs to the technical field of high-temperature thermal radiation measurement, and in particular relates to a method for measuring a flame multi-parameter field. Background technique [0002] High-temperature combustion phenomena widely exist in aerospace, energy and power, iron and steel metallurgy, chemical industry and other fields, such as rocket engines, gas turbines, internal combustion engines, power plant boilers, coal gasification reactors and other high-temperature equipment. The measurement of flame temperature field is very important for combustion diagnosis. The detection accuracy of the flame temperature field is affected by the translucent medium inside the flame (CO 2 、H 2 O, CO and other gases, combustion products, additives and other particles) physical property parameters field (absorption coefficient, scattering coefficient, particle complex refractive index), and these radiation physical property field parameters...

AI Technical Summary

Problems solved by technology

[0004] Due to the mutual coupling and correlation between the flame multi-physics fields, the simultaneous reconstruction of the instantaneous multi-physics fields has bottleneck problems such as "strong nonlinearity, high underdeterminacy, high crosstalk, and large amount of calculation", which makes the 3D online collaborative detection of the flame multi-physics field very difficult.

However, the single active and passive tomographic detection method is limited by the spatial layout of the detector and the known physical parameters of the spectral radiation, and cannot realize the multi-parameter three-dimensional spatial distribution measurement of the temperature, component concentration and pressure of the high-temperature flame.

At present, there is no known relevant flame detection technology that can achieve high-precision and high-efficiency multi-parameter three-dimensional spatial distribution measurement of flame temperature, component concentration and pressure.

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