Firstly, the flame emissivity were got by flame image detectors mounted at the different height of a CFB boiler, and then the bed height of the CFB boiler could be obtained by the BP neural network.

通过布置在不同高度处的火焰图像探测器得到循环流化床内火焰黑度沿床高的分布，进而由已经训练好的神经网络算法检测出循环流化床的床高。

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Based on the Wien's law temperature and emissivity of flame were obtained by processing the measured data with an optimization algorithm.

根据这一特点，从维恩公式出发，利用最优化方法处理测得的火焰辐射光谱信号，得到了火焰的温度和黑度。

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Based on visual radiation image processing, a set of online combustion detection system in CFB boilers was designed in this paper, including the measurement of flame temperature and emissivity.

本课题的主要目的在于建立一种基于可见光辐射图像处理技术的流化床燃烧在线检测系统，通过该系统可实时检测床内火焰温度和黑度信息。

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