基于BP网络的燃烧器火焰燃烧状态识别

Burner Flame Recognition Based on Backpropagation Neural Network

基于原有数字图像处理系统 ,根据采集的电站锅炉直流燃烧器和旋流燃烧器火焰图像 ,讨论了特征值的意义和提取方法 ,运用现代人工神经网络智能理论 。

Based on the original digital image processing system, character value is distilled from the flame image of the tangential burner and the swirl burner. The theory of artificial neural network is applied and BP Neural Network is designed and trained to discern combustion state at the present time.