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.
出处
《上海电力学院学报》
CAS
2013年第2期151-154,共4页
Journal of Shanghai University of Electric Power
关键词
燃煤锅炉
运行优化
决策树
分类算法
coal-fired boiler
operation optimization
decision tree
classification algorism
