锅炉技术2026，Vol.57Issue(4)：1-8,8.
锅炉灰污量化表征监测技术研究现状及趋势
Status Quo and Tendency of Quantitative Characterization Monitoring Techniques for Ash Fouling on Boilers
摘要
Abstract
In view of the current hot topic of ash fouling and slagging control in high alkali coal utilization,the status quo and tendency of quantitative characterization monitoring techniques for ash fouling on boilers were systematically reviewed.The quantitative parameters such as thermal resistance,cleanliness factor and fouling factor,etc.,were introduced,and the traditional monitoring methods,including heat balance,differential pressure measurement,etc.,were summarized and reviewed.The models and algorithms based on artificial intelligence were introduced,including neural network,support vector machine,and random forest algorithm models etc.After mechanism-driven and data-driven techniques were compared,and the development tendency of quantitative characterization monitoring techniques for boiler ash fouling was proposed.关键词
锅炉/受热面/灰沾污/量化表征/监测技术Key words
boiler/heating surface/ash fouling/quantitative characterization/monitoring techniques分类
能源科技引用本文复制引用
范浩杰,贺之杨,黄林鹏,张启超,张忠孝..锅炉灰污量化表征监测技术研究现状及趋势[J].锅炉技术,2026,57(4):1-8,8.基金项目
国家重点研发计划课题(2023YFB4102701) （2023YFB4102701）
