中国电机工程学报2025，Vol.45Issue(11)：4360-4371,12.DOI:10.13334/j.0258-8013.pcsee.232316
炉排式垃圾焚烧炉燃烧过程动态建模方法研究
Research on Dynamic Modeling Method of Waste Incinerator Combustion Process
摘要
Abstract
To optimize control strategies and enhance the stability,economic performance,and environmental compliance of refuse incinerators,a dynamic modeling method for combustion process of grate type refuse incinerator is proposed.First,the output variables of the model are determined according to the control objectives,and the input variables are selected according to the operation mechanism of the incinerator.The flame image features reflecting the combustion state and the thickness of the waste layer are calculated.Then,WesselN symbol transfer entropy algorithm is improved to further reduce the dimension of input parameters and find the delay time between variables.Finally,the multi-universe optimization algorithm is used to optimize the hyperparameters of the convolutional neural network-bidirectional long short-term memory network model,and the multi-input multi-output dynamic model of the incinerator is established.The experimental results show that the model has a good fitting effect,and the root-mean-square errors of three output parameters,i.e.steam flow,gas oxygen and flue temperature,are 0.23t/h,0.11％and 0.55℃,respectively.Compared with the comparison model,the modeling method proposed in this paper has higher precision and stronger fitting ability.关键词
垃圾焚烧炉/动态建模/转移熵/卷积神经网络/长短期记忆网络Key words
waste incinerator/dynamic modeling/transfer entropy/convolutional neural network/long short-term memory network分类
信息技术与安全科学引用本文复制引用
赵征,周孜钰,卢叶,魏强,许洪滨..炉排式垃圾焚烧炉燃烧过程动态建模方法研究[J].中国电机工程学报,2025,45(11):4360-4371,12.基金项目
国家自然科学基金项目(面上基金)(52276007) （面上基金）
深圳市科技计划项目(2021N041) （2021N041）
生活垃圾焚烧智能优化控制及污染物超低排放技术研发(KCXFZ20201221173402007).Project Supported by National Natural Science Foundation of China(General Program)(52276007) （KCXFZ20201221173402007）
Shenzhen Science and Technology Plan Project(2021N041) （2021N041）
Development of Intelligent Optimization Control and Ultra Low Pollutant Emission Technology for Domestic Waste Incineration(KCXFZ20201221173402007). （KCXFZ20201221173402007）
