The On-line Monitoring Of Slagging And Fouling On Utility Boiler Heat Surfaces

In this paper, the main work is that developing a suit of on-line monitoring system of fouling on the low-temperature convection surface and local slagging on water wall surface, to guide and optimize the progress of sootblowing, on base of the successfully developed monitoring system of fouling on the high-temperature convection surface. In the monitoring means, taking advantage of the data from the DAS of the plant and the variation of fouling for a long time, we can make it predict the heat-flux of the clean surface in any conditions by applying NN (Neural Network), then acquire the condition of fouling. We build a computing temperature model of membrane water wall and educe the relation between the local heat-flux of water wall and temperature of the back of the water wall. We realize the local slagging monitoring of water wall by the way of collection the temperature. On the base of this theory, we successfully developed a suit of monitoring system of fouling and slagging.