202112

基于机器学习的燃煤电站制粉及燃烧优化研究进展
发布人:网站管理员 发布时间:2021/12/16 点击次数:71次
  

基于机器学习的燃煤电站制粉及燃烧优化研究进展
潘广强
(华电十里泉发电厂,山东 枣庄 277103)
摘要: 目前机器学习算法在燃煤电厂的制粉系统监测和颗粒物识别、燃烧优化过程中有着较为广泛的运用。对基于
机器学习的燃煤电站制粉及燃烧优化研究进展进行了阐述和分析。
关键词: 机器学习;系统监测;颗粒物识别
中图分类号: TM621.2     文献标识码: A     文章编号: 2095-0802-(2021)12-0113-03
Research Progress of Coal-fired Power Plant Pulverization and Combustion Optimization Based
on Machine Learning
PAN Guangqiang
(Huadian Shiliquan Power Plant, Zaozhuang 277103, Shandong, China)
Abstract: At present, machine learning algorithms are widely used in pulverization system monitoring and particulate matter
identification, and combustion optimization of coal-fired power plants. This paper explained and analyzed the research progress of
pulverization and combustion optimization of coal-fired power plants based on machine learning.

Key words: machine learning; system monitoring; particulate matter monitoring