论文部分内容阅读
火焰特征参数对燃烧稳定性及污染物生成具有重要影响。火焰自由基作为燃烧的中间产物，其特征在研究污染物的生成机制及其控制方面起着重要的作用。文中通过火焰自由基图像处理和火焰温度监测，并结合支持向量机的软计算法提出了一种NOx(NO和NO2)排放量的在线预测技术。该技术通过光增强成像系统采集火焰自由基OH*，CN*，CH*和 C2*的数字图像，同时使用光谱仪和双色法获取火焰温度。在所得的火焰基图像中提取其特征值(自由基灰度等值线和比值)，并结合火焰温度，建立基于支持向量机的软计算方法，实现了对 NOx的排放预测。在燃气燃烧试验炉上的实验结果验证了基于火焰自由基图像的 NOx预测排放模型的有效性。“,”ABSTRACT:Characteristics of reacting radicals in a flame are crucial for an in-depth understanding of the formation process of combustion emissions. An algorithm for the prediction of NOx (NO and NO2) emissions in flue gas was presented through flame radical imaging, flame temperature monitoring and application of soft computing techniques, support vector machine. Radiation images of flame radicals OH*, CN*, CH* and C2* were captured using an intensified multi-wavelength imaging system. Flame temperature was determined using a spectrometer and two-color pyrometry. Based on these images, the characteristic values of the flame radicals were extracted. These characteristic values (contours and ratios of radical intensities), together with the flame temperature, were then used to predict NOx emissions. Experimental results from a laboratory-scale gas-fired combustion rig show the effectiveness of the proposed method for the prediction of NOx emissions.