The Intelligent Soot-Blowing Programmable Control System which is Based on Improved Elman Neural Network

摘要

Based on improved Elman neural network, establish soft sensor model for the station boiler pollution monitoring, which provides a theoretical basis for boiler soot blowing optimization strategy. Intelligent soot-blowing programmable control system combines the traditional blowing control with the soft sensor model, which is constructed by a modular approach, set online fouling monitor, data analysis, information management and optimization guidance, control as a whole. This system can improve the system blowing management, optimize soot-blowing, and improve safety and economization of the boiler.