摘要
基于长短期记忆(LSTM)算法对结渣过程进行建模,开发炉膛水冷壁结渣监测模型,并且开发了基于分散控制系统(DCS)的锅炉智能吹灰系统。该系统实现了锅炉运行时的智能吹灰、自动疏水和自动投停过程,保证了锅炉受热面的安全,在某热电厂启用智能吹灰方法后,吹灰总频次显著降低,有效地降低了吹灰器投运频次和吹灰蒸汽消耗量,降低了排烟温度。
A model of slagging process was established based on the long and short term memory(LSTM)algorithm,so as to develop a furnace water wall slagging monitoring model.An intelligent soot blowing system for boiler based on a distributed control system(DCS)was further implemented.This system achieves intelligent soot blowing,automatic drainage,and automatic stop during boiler operation.It ensures the safety of the heating surfaces in the boiler.After implementing the intelligent soot blowing method in a thermal power plant,the total frequency of soot blowing can be significantly decreased.This system effectively reduces the frequency of soot blower operation,decreases the steam consumption during soot blowing,lowers the exhaust gas temperature.
作者
马晓春
刘相宏
陈晶
郑云林
郭丽
赵滔滔
赵伟杰
Ma Xiaochun;Liu Xianghong;Chen Jing;Zheng Yunlin;Guo Li;Zhao Taotao;Zhao Weijie(Xinjiang Uygur Autonomous Region Institute of Metrology and Testing,Urumqi 83001l,China;Shanghai Xinhua Control Technology Group Co.,Ltd.,Shanghai 200241,China)
出处
《发电设备》
2024年第1期30-35,共6页
Power Equipment
关键词
锅炉
智能吹灰
分时线性
节能
人工神经网络
boiler
intelligent soot blowing
time sharing linearity
energy saving
artificial neural network
