发电技术2026，Vol.47Issue(3)：546-554,9.DOI:10.12096/j.2096-4528.pgt.260308
基于自编码器的锅炉受热面灰污监测建模
Autoencoder-Based Modeling for Fouling Monitoring on Boiler Heating Surfaces
摘要
Abstract
[Objectives]Zhundong coal is characterized by large reserves and favorable combustion properties,but its high alkali metal content tends to lead to fouling on boiler heating surfaces.Traditional mechanism-based and data-driven methods face challenges such as difficulty in mechanism simplification and insufficient labeled data in fouling monitoring modeling.Therefore,there is an urgent need for accurate and reliable models for fouling quantification characterization to guide sootblowing decisions and optimize diagnostics.To address these issues,a modeling method for heating surface fouling monitoring based on machine learning is proposed.[Methods]Taking the boiler of a 1 000 MW power plant as the research object,a high-precision dynamic simulation model incorporating the control system is established.On this basis,new characteristic parameters are established,and a fouling quantification characterization modeling method based on autoencoder(AE)and long short-term memory(LSTM)neural network is proposed.[Results]The fouling monitoring model for heating surface based on new characteristic parameters such as heat transfer deviation and outlet steam temperature deviation shows false alarm rates of 0.6%under stable load conditions and 1.2%under variable load conditions,effectively mitigating the influence of load fluctuations on thermal parameters.The fouling monitoring model based on AE demonstrates high accuracy and robustness.[Conclusions]The proposed model can accurately monitor the fouling trends of heating surfaces during sootblowing cycles,providing new insights for boiler heating surface fouling monitoring.关键词
燃煤发电/灰污监测/自编码器(AE)/长短期记忆(LSTM)神经网络/准东煤/异常检测/特征参数/锅炉受热面Key words
coal-fired power generation/fouling monitoring/autoencoder(AE)/long short-term memory(LSTM)neural network/Zhundong coal/anomaly detection/characteristic parameters/boiler heating surface分类
能源科技引用本文复制引用
王克,汪新悦,谭鹏,张成,方庆艳,陈刚..基于自编码器的锅炉受热面灰污监测建模[J].发电技术,2026,47(3):546-554,9.基金项目
国家重点研发计划项目(2023YFB4102704) （2023YFB4102704）
国家自然科学基金项目(52106011).Project Supported by National Key Research and Development Program of China(2023YFB4102704) （52106011）
National Natural Science Foundation of China(52106011). （52106011）
