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基于声学测温与人工神经网络的炉膛结渣在线监测方法
引用本文:邓喆,李庚生,安连锁,沈国清,张世平.基于声学测温与人工神经网络的炉膛结渣在线监测方法[J].现代电力,2011,28(4):70-72.
作者姓名:邓喆  李庚生  安连锁  沈国清  张世平
作者单位:华北电力大学能源动力与机械工程学院,北京,102206
摘    要:以某电厂锅炉炉膛结渣问题为研究背景,以实现炉膛受热面结渣监测为目的,提出了基于声学测温与人工神经网络的炉膛结渣在线监测方法。该监测方法结合非接触式测温工具——声学测温装置和BP神经网络,声学测温装置能够实时测量炉膛出口烟温,为炉膛结渣实时在线监测提供了前提条件,利用BP神经网络的非线性映射优点计算炉膛理想出口烟温,提出利用污染系数判断炉膛整体的结渣状况。在某电厂采集数据进行验证,结果表明:声学测温装置测量的炉膛理想出口烟温与BP神经网络预测的炉膛理想出口烟温相对误差在3%左右,能够满足工程要求。

关 键 词:结渣  声学测温  BP神经网络  在线监测  炉膛出口烟温

The On-Line Monitoring of the Furance Slagging Based on Acoustic Pyrometry and Artificial Neural Network
DENG Zhe,LI Gengsheng,AN Liansuo,SHEN Guoqing,ZHANG Shiping.The On-Line Monitoring of the Furance Slagging Based on Acoustic Pyrometry and Artificial Neural Network[J].Modern Electric Power,2011,28(4):70-72.
Authors:DENG Zhe  LI Gengsheng  AN Liansuo  SHEN Guoqing  ZHANG Shiping
Affiliation:DENG Zhe,LI Gengsheng,AN Liansuo,SHEN Guoqing,ZHANG Shiping(School of Energy,Power and Mechanical Engineering,North China Electric Power University,Beijing 102206,China)
Abstract:Through researching on a boiler furnace slagging,the on-line furnace heating surface slagging monitoring system based on acoustic pyrometry and artificial neural network is put forward.The method combines the non-contact temperature measuring tool,acoustic pyrometry device,with BP neural network.The acoustic pyrometry device can measure the furnace outlet gas temperature,which provides the precondition for the furnace slagging on-line monitoring.It can make use of BP neural network's nonlinear mapping calcu...
Keywords:slagging  acoustic pyrometry  BP neural network  on-line monitoring  furnace outlet gas temperature  
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