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对某1 000 MW机组塔式炉进行了全炉膛数值模拟,对比炉膛贴壁水冷壁CO、NO和O2等气氛监测分析结果和温度场测量统计结果,确认了炉内火焰烧偏的程度.基于一种核心向量机回归算法(CVR),对从集散控制系统(DCS)中筛选的海量数据进行分析,建立了水冷壁出口温度偏差与77个运行参数之间的关系模型,验证了该模型的精确性,并依据模型制定了二次风精细配风方案.结果表明:在现场实施该方案后,有效减小了水冷壁出口温度偏差,提高了蒸汽温度品质.
The full furnace numerical simulation of a 1 000 MW tower furnace was carried out and compared with the atmospheric monitoring results and the temperature field measurement results of the CO, NO and O2 in the wall of the wall attached to the furnace, the degree of flame burnout in the furnace was confirmed. A kernel vector machine regression algorithm (CVR) is used to analyze the mass data screened from the distributed control system (DCS), and the relationship model between outlet temperature deviation of water wall and 77 operating parameters is established. The results show that The precision of secondary air and the scheme of fine air distribution were established according to the model.The results showed that after the scheme was implemented in the field, the temperature deviation at the outlet of water wall was effectively reduced and the quality of steam temperature was improved.