【作者】 李慧娟；

【导师】 梁明；

【作者基本信息】 华北电力大学（北京） ， 信号与信息处理， 2008， 硕士

【摘要】 针对新型矿用热风炉燃烧控制的实际需求,提出了一套判断火焰燃烧状态并根据得出的判断结果调节阀门,从而保持热风炉相对正常燃烧的方法。该方法用PCA算法提取了最能够反应火焰燃烧状态的三个特征量,并将其作为BP神经网络的输入参数,根据经验值将得到的输出确定为火焰不同的燃烧状态,最后根据火焰不同的状态对煤气进气阀进行相应的调节。文章介绍了新型矿用热风炉燃烧检测与控制系统的软硬件组成,火焰燃烧状态判别算法及阀门控制方法。实验结果证明该系统可以有效地识别火焰燃烧状态并对阀门进行相应的控制,达到了预期要求。更多还原

【Abstract】 Based on the practice requirement of the new mine environment hot stove’s combustion and controlling, the way to estimate combustion state of flame, and then adjust valves based on the last estimation which would keep normal combusting relatively of the hot stove was present. It picked up three character values which could furthest feedback combustion state of flame by PCA method, and then put them into BP Neural Network, it would get the flame’s combustion state from output values which compared with experience values. At last, it would adjust gas valves relatively based on the different combustion state. This paper introduces the hardware and software of new mine environment hot stove’s combustion detecting and controlling system, flame combustion state distinguishing arithmetic and valves controlling method. The experiment result proved that this system could recognize flame combustion state and control the gas valves effectively, which reached the first goal.更多还原