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作 者:李伟[1] 林范军 刘晓奎 孙锋 李金磊 LI Wei;LIAN Fanjun;LIU Xiaokui;SUN Feng;LI Jinlei(Huaneng Chaohu Power Generation Co.Ltd.,Hefei 238015,China;Huaneng International Power Co.Ltd.,Anhui Branch,Hefei 230071,China;Shanghai Zaiyi Environmental Protection Technology Co.Ltd.,Shanghai 201800,China)
机构地区:[1]华能巢湖发电有限责任公司,安徽合肥238015 [2]华能国际电力股份有限公司安徽分公司,安徽合肥230071 [3]上海在伊环保科技有限公司,上海201800
出 处:《工业加热》2024年第12期68-72,共5页Industrial Heating
摘 要:常规的燃煤电站锅炉燃烧过程实时监测,主要采用波值信号分析实现实时监测,忽略了信号处理过程对实时监测的影响,导致监测结果的精确度不高。因此,提出基于稀疏表示和近邻嵌入的燃煤电站锅炉燃烧过程实时监测方法。为获取的锅炉燃烧过程信号添加高斯白噪声,引入稀疏表示对添加后的信号进行表达,得到信号的少量特殊特征,降低信号处理工作量,并转化为图像信息。分析锅炉燃烧火焰图像特征,采用近邻嵌入对燃烧过程图像进行重构,得到实时监测信息。实验结果表明:所提方法应用后得出的监测结果表现出的波动点与实际结果高度一致,精确度较高,满足了燃煤电站锅炉燃烧控制工作的现实需求。Conventional real-time monitoring of the combustion process of coal-fired power plant boilers mainly uses wave value signal analysis to achieve real-time monitoring,ignoring the impact of signal processing on real-time monitoring,resulting in low accuracy of monitoring results.Therefore,a real-time monitoring method for the combustion process of coal-fired power plant boilers based on sparse representation and nearest neighbor embedding is proposed.To add Gaussian white noise to the obtained boiler combustion process signal,sparse representation is introduced to express the added signal,obtaining a small number of special features of the signal,reducing signal processing workload,and converting it into image information.Analyze the characteristics of boiler combustion flame images,use nearest neighbor embedding to reconstruct the combustion process image,and obtain real-time monitoring information.The experimental results show that the fluctuation points of the monitoring results obtained after the application of the proposed method are highly consistent with the actual results,with high accuracy and meet the practical needs of combustion control work in coal-fired power plant boilers.
关 键 词:燃煤电站 锅炉燃烧 燃烧过程监测 稀疏表示 近邻嵌入 实时监测方法
分 类 号:TK224[动力工程及工程热物理—动力机械及工程]
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