机构地区: 浙江大学机械与能源工程学院能源清洁利用国家重点实验室
出 处: 《动力工程》 2002年第5期1979-1982,1940,共5页
摘 要: 利用计算机图像处理技术从电站煤粉锅炉炉内火焰图像中提取火焰燃烧特征参数 ,结合 BP神经网络 ,对电站煤粉锅炉 NOx排放监测进行了实验研究 ,并取得了比较满意的结果。图 9参 This paper has used the computer image processing technology to get the flame combustion characteristic parameters from the boiler of the power plant. Based on the back propagation neural network, the method to monitor the NOx concentration from the power plant boiler has been developed. The experiments on the Furnace Flame Monitor Sytem of the power plant have testified that this neural network can get the satisfying result. Figs 9 and refs 8.
关 键 词: 电站 煤粉锅炉 排放监测 神经网络 试验 氮氧化合物
领 域: [电气工程]