摘要
针对垃圾焚烧炉火焰温度的测量问题,利用便携式光纤光谱仪对某台35 t/h的垃圾焚烧炉的火焰光谱进行了采集。分析结果表明:Gauss函数、Lorenz函数以及两者的组合函数中,两者的组合函数在提取特征谱线上最为准确,Lorenz函数在提取效果上最差;由于原子特征光谱法在测温理论上的不成熟,导致该方法在应用上具有很大的局限性;利用非线性最小二乘法对基于多项式拟合分离出的光谱基线、移除特征谱线后的光谱曲线以及未经处理的原始光谱曲线进行拟合来计算火焰温度,其中对直接移除特征谱线的火焰光谱进行寻优的结果比其他两种要准确;通过对7个样例光谱的分析发现,垃圾火焰在650~900nm波长范围内满足灰体特性。
In view of the measurement of flame temperature of municipal solid waste(MSW) incinerator, a portable fiber spectrometer was employed to collect flame spectra of a 35 t/h MSW incinerator. Firstly, the accuracy of the Gauss function, the Lorenz function and the combination of the two functions in extracting the characteristic lines was discussed, which shows that the combination function is the most accurate and the Lorenz function is the worst. Then, the application of atomic spectroscopy in temperature measurement was discussed,which shows that the method has great limitations due to the immature temperature theory. By using the method of nonlinear least squares method, the spectral baseline separated by a method based on polynomial fitting, the spectral curve after removal of the characteristic spectral line and the original spectral curve without processing were optimized to calculate the flame temperature, and it shows that the optimizing result of the flame spectrum of which the characteristic spectrum was directly removed is the most accurate. The analysis of seven samples spectra shows that the waste flame meets the gray body characteristics' requirements in the wavelength range of 650~900 nm.
引文
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