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电厂的煤粉火焰检测装置只作炉膛有火或无火判断,不仅不能对燃烧稳定程度做出定量表述。以某电厂的监控信息系统(SIS)中的历史数据库作为分析平台,对常规光学火检信号所包含的丰富信息进行深层次挖掘。首先对火检信号数据进行必要的预处理,提取出火焰信号的亮度平均值、火焰亮度方差、火焰亮度峰峰值作为火检信号时域特征量,在前人研究的基础上提出并使用“均匀度”作为火检信号频域特征量。然后分锅炉高负荷稳定、锅炉低负荷稳定、锅炉高负荷波动、锅炉低负荷波动、启磨、停磨、点火与停炉等8种典型燃烧工况对火检强度信号作了大量统计分析。结果表明这些特征量能够较准确地反映不同工况下的火焰燃烧状态,并为今后电站锅炉燃烧优化奠定了基础。
Power plant pulverized coal flame detection device only for the furnace with fire or no fire judge, not only can not make a quantitative statement of the degree of combustion stability. Based on the history database in a monitoring information system (SIS) of a power plant, the rich information contained in the conventional optical signal is deeply tapped. Firstly, the pretreatment of the data of the fire detection signal is carried out, and the mean value of the brightness of the flame signal, the variance of the flame brightness and the peak value of the flame brightness are extracted as the time domain features of the fire detection signal. Based on the previous studies, Degree "as the frequency domain feature of the signal. Then a large number of statistical analyzes were made on the intensity of fire detection signal under eight typical combustion conditions, including high boiler load stability, low boiler load stability, high boiler load fluctuation, low boiler load fluctuation, start grinding, stop grinding, ignition and shutdown. The results show that these characteristic quantities can reflect the flame combustion status under different conditions more accurately and lay the foundation for the future boiler combustion optimization.