基于数据聚类的锅炉受热面吹灰对再热减温水量相关性研究  

RESEARCH ON CORRELATION BETWEEN SOOT-BLOWING ON HEATING SURFACE OF BOILER AND REHEAT DESUPERHEATING WATER BASED ON DATA CLUSTERING

作　　者：钱虹[1] 宋亮[1] 陈纲[2] 马浩[2] 

机构地区：[1]上海电力学院自动化工程学院,上海200090 [2]华能上海石洞口第一电厂,上海200942

出　　处：《计算机应用与软件》2017年第5期48-53,共6页Computer Applications and Software

摘　　要：针对锅炉优化吹灰策略制定的需要,通过研究吹灰对受热面吸热量与再热减温水量影响的相关性分析,旨在为优化吹灰指导提供依据。基于生产数据进行层次聚类法处理,用聚类后的有效数据计算吹灰前后受热面工质的吸热量,再通过滑动平均算法对吸热量和再热减温水进行数据平滑处理,使吸热量数据和再热减温水大小具有单一关系,利用相关性分析得到两者的相关系数,表征吹灰对两者的影响程度的关系。分析结果表明,不同受热面吹灰与再热减温水的相关系数不同。因此通过各受热面相关性系数比较,可对受热面吹灰序列的优化即吹灰策略的制定进行指导。According to the need of making sootblowing optimization strategy , the correlation analysis of thesootblowing effect on the heat absorption and reheating and cooling water quantity of the heating surface was carried out , which provided the basis for optimization of sootblowing guidance. Based on the production data , hierarchical clusteringmethod was used to calculate the heat absorption of the working surface of theblowing with the effective data after clustering , and then through the sliding average algorithm for heat absorption and reheat desuperheating water data for smoothing , so that the heat absorption data and the size of reheat desuperheating water has a single relationship , And their correlation coefficients were obtained by correlation analysis , the influence ofsootblowing on them was characterized. The results show that the correlation coefficients of soot-blowing and reheat desuperheating water in different heating surfaces are different. Therefore , by comparing the correlation coefficient of each heating surface , we can guide the optimization of soot-blowing sequence of the heating surface , that is , the soot-blowing strategy.

关 键 词：受热面吹灰 再热减温水 数据聚类 相关性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]