电站锅炉智能燃烧优化基础技术的研究与应用

Research and Application of Intelligent Combustion Optimization Basic Technology for Power Plant Boilers

结合软测量、机器学习、热力计算等机理模型和数据驱动方法,建立了入炉煤煤质软测量模型、灰、渣碳含量预测模型、基于热力计算的锅炉变工况综合建模技术,以及基于屏间热负荷偏差的高温受热面安全评估技术,为电站锅炉的智能燃烧优化奠定了基础。

Based on the principles of soft measurement,machine learning,thermal calculation,and data-driven methods,a soft measurement model for coal quality in the furnace,a prediction model for carbon content in ash and slag,a comprehensive modeling technology for boiler operating conditions based on thermal calculation,and a safety assessment technology for high-temperature heating surfaces based on inter screen thermal load deviation have been established,laying the foundation for intelligent combustion optimization of power plant boilers.