基于决策树的燃煤锅炉运行优化规则的提取  

Research on Rule Extraction of Coal-Fired Boiler Optimizing Operation Based on Decision Tree

作　　者：王文欢[1] 潘秉超[1] 潘卫国[1] 

机构地区：[1]上海电力学院能源与机械工程学院,上海200090

出　　处：《上海电力学院学报》2013年第2期151-154,共4页Journal of Shanghai University of Electric Power

摘　　要：以数据挖掘的决策树方法为理论基础,结合燃煤锅炉的具体特点,将基于决策树归纳分类算法运用于锅炉历史运行数据的分析中.以锅炉效率为决策目标,对不同烟气含氧量、排烟温度等属性进行分类,构建决策树模型,采用决策树归纳分类的方法挖掘出指导锅炉运行的有用规则,并对挖掘结果进行分析和评价.Algorithm based on the decision tree inductive classification is applied to analyze the boiler historical operating data, in combination with the specific characteristics of the coal-fired boilers. Boiler efficiency is set for decision-making, classifying different properties such as oxygen content in flue gas and exhaust gas temperature, constructing the decision tree model, utilizes decision tree induction classification method for digging useful rules to guide the boiler operation, making an analysis and evaluation of the fruition, which provides important decision support for economic operation and safe production of coal-fired boilers.

关 键 词：燃煤锅炉 运行优化 决策树 分类算法 

分 类 号：TK229.6[动力工程及工程热物理—动力机械及工程] TK227.1