数据挖掘技术在燃煤机组中的应用研究  

Research on Application of Data Mining Technology in Coal-Fired Units

作　　者：夏广臻 孙善飞 孔祥旭 李晓鹏 XIA Guangzhen;SUN Shanfei;KONG Xiangxu;LI Xiaopeng(Jinan Zuowei Technology Co.,Ltd.,Jinan,Shandong 250000,China)

机构地区：[1]济南作为科技有限公司,山东济南250000

出　　处：《自动化应用》2025年第6期91-93,共3页Automation Application

摘　　要：基于数据挖掘技术分析某2×600 MW燃煤机组运行的历史数据。基于机组负荷与给煤量两个指标,利用等宽度的划分方式对机组运行的历史数据进行分类。采用线性加权法获得不同工况下燃烧器二次风门开度的运行优化值,以指导运行人员进行参数调整,从而在提高锅炉效率的同时保证污染物排放在适当范围。Analyze the historical operational data of a 2×600 MW coal-fired power unit using data mining techniques.Classify the historical operational data of the unit based on two indicators:load and coal feed rate,employing an equal-width partitioning method.Utilize a linear weighting approach to obtain optimized operational values for the secondary air door opening of the burners under different operating conditions,thereby guiding operators in adjusting parameters.This approach aims to enhance boiler efficiency while ensuring that pollutant emissions remain within appropriate limits.

关 键 词：数据挖掘 锅炉效率 运行优化 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]