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电站锅炉优化吹灰模糊模型的研究
引用本文:陆继东,刘定坡,刘刚,沈凯.电站锅炉优化吹灰模糊模型的研究[J].华中科技大学学报(自然科学版),2005,33(6):35-37.
作者姓名:陆继东  刘定坡  刘刚  沈凯
作者单位:华中科技大学,煤燃烧国家重点实验室,湖北,武汉,430074
摘    要:分析了以机组各受热面洁净因子(CF)值作为唯一受热面积灰监测参数的电站锅炉优化吹灰方法,针对该方法的不足之处提出了一种以各受热面CF值、壁温、负荷为输入,吹灰置信度为输出的优化吹灰模糊模型,并用该模糊模型对省煤器表面积灰程度进行计算机仿真,结果表明该模型可有效避免监测结果由于热工参数的动态变化引起的结果异常波动对吹灰控制的影响,监测结果的可靠性更高,适用于对电站锅炉受热面积灰的监测.

关 键 词:电站锅炉  积灰  在线监测  模糊模型  吹灰
文章编号:1671-4512(2005)06-0035-03
修稿时间:2004年11月1日

Research on fuzzy model for the soot blowing optimization in utility boilers
Lu Jidong,Liu Dingpo,Liu Gang,Shen Kai.Research on fuzzy model for the soot blowing optimization in utility boilers[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2005,33(6):35-37.
Authors:Lu Jidong  Liu Dingpo  Liu Gang  Shen Kai
Institution:Lu Jidong Liu Dingpo Liu Gang Shen Kai Lu Jidong Prof., State Key Lab. of Coal Combustion,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China.
Abstract:The online monitoring of fouling of utility boils was analyzed. Owing to the shortage of this method, a new fuzzy model of optimized soot blowing monitoring system was built. The input parameters were CF, wall temperature and load and the output one was the degree of confidence of soot blowing. The model was used to simulate the ash degree of economizer surface. The effect of dynamic thermal parameters on soot blowing control was avoided. The monitoring result is more reliable and suitable for the fouling process of heating surface.
Keywords:utility boilers  fouling  online monitoring  fuzzy model  soot blowing
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