基于改进型Elman神经网络的智能吹灰程控系统  

Intelligent Soot-Blowing Programming Control System Which Based on Improved Elman Neural Network

作　　者：张韵辉 蒋学润 

机构地区：[1]深圳东方锅炉控制有限公司,深圳518057

出　　处：《工业控制计算机》2011年第1期32-34,共3页Industrial Control Computer

摘　　要：基于改进型Elman神经网络,建立了电站锅炉受热面污染在线监测软测量模型,为锅炉吹灰优化策略提供了理论依据。将软测量模型与传统吹灰程控系统融合所形成的智能吹灰程控系统采用模块化方法构建,集灰污在线监测、数据分析、信息管理和优化指导、控制功能一体化。该系统有助于加强吹灰管理,指导运行人员及时、合理吹灰、优化吹灰,达到提高机组安全性和经济性的目的。This paper proposes a soft measurement model for supervising power plant boiler surface contamination,which based on Improved Elman neural network.The intelligent soot-blowing programming control system,which combined soft measurement model with conditional soot-blowing programming control system,is built with modularization method.The system combines with contamination online measuring,data analysis,information management and optimizing soot-blowing.

关 键 词：智能吹灰 ELMAN神经网络 TCP/IP协议 

分 类 号：TM621.73[电气工程—电力系统及自动化]