上海交通大学工程硕士学位论文摘要 神经网络进行改进。利用遗传算法优化神经网络结构,即寻找网络最优权值和阀值,经过结构优化后,NOx排放特性预测模型的误差进一步减 小,网络性能也大大提升。 在建立好NOx排放模型后,本文对各类NOx燃烧相关参数进行系统 辨识,分析它们与NOx排放量之间的关系。最后,根据试验结果和实际 工况,设计一套改进的锅炉燃烧配风方案(即辅助风档板开度设计方 案),通过调整风门档板的开度,优化空气分段燃烧过程,从而有效降 低锅炉NOx排放水平。改进后的锅炉燃烧配风方案是建立在原有配风控 制参数的基础上,针对常用工况都进行了改进,因此具有一定通用性, 改进后的效果也通过NOx排放模型得以验证。此项设计为锅炉今后的优 化燃烧控制提供了帮助,具有一定参考价值。 上海交通大学工程硕士学位论文ABSTRACT LOWNOx BURNING AIRSUBSECTION ABSTRACT NOx from boiler fuel mostprimary pollution atmospherecircumstance. Domestic generate electricity industry has taken present,theinternational measure reduceNOx from boiler burning can lowNOx burning smokepurifying.In China,the investment smokepurifying higher.Thetechnique lowNOx burning could reduce dischargequantity under equipmentinvestment slightly addition withoutaddition. article,itsummarizes lowNOx from coalusing power plant,it includes NOxcreation someprimary techniques lowNOx controlling.Then introduce controllingtechnique lowNOx burning lowNOx burning airsubsection)which widely used currently details.Forexample 300MWmachine which using WaiGaoQiao上海交通大学工程硕士学位论文 ABSTRACT powerplant,I introduce alterationproject implementationstatus, particledatas NOxburning airsubsection,we can improve NOxreduction technique.Iestablish forecastmodel NOxemissions properties 300MWmachine BPNN,by all kinds realtime data related NOxemissions, non-linearrelationship NOxemissions,then get modelhas bettergeneralization capability after test. furtherimprove forecastaccuracy model,andreduce its forecast error,I also improve BPNN article.Optimize BPNN geneticalgorithms,that means find networkbest value thresholdvalue.After structure optimization,the error NOxemissions properties forecast model further monishes networkproperties highlyimproved. After NOxemissions model establishment,it makes systemIdentification allkinds relativeNOx burning parameters, analyze relationshipbetween NOx discharge quantity experimentresult particlesituations,to design improvedboiler burning distributing wind(the design openingdegree assistedwind baffle openingdegree wind