Online soft measurement method for as-fired coal amount based on burner video signals

Abstract

The invention discloses an online soft measurement method for the as-fired coal amount based on burner video signals, and belongs to the technical field of burning flame image processing. The method comprises the steps that pulverized coal combustion image features collected by a burner flame image sensor are extracted, an edge trace method is adopted for calculating the area and concentration ofa burning region, on the basis of current operating state signals of a boiler, the as-fired coal amount is obtained through an as-fired coal amount soft measurement model, real-time online measurementof the as-fired coal amount of the boiler is achieved, supports are supplied to refined burning of the boiler, and a foundation is laid for safe, stable and optimized operation of the boiler.

Description

technical field [0001] The invention belongs to the technical field of combustion flame image processing, and in particular relates to an online soft measurement method for the amount of coal fed into a furnace based on a video signal of a burner. Background technique [0002] In my country, coal, as a conventional energy that is easy to mine, transport, and utilize, is widely used in thermal power generation. However, due to the large-scale utilization of coal resources, the problems of insufficient coal resources and environmental pollution are becoming more and more serious. It is of great practical significance to study how to realize the fine combustion of coal so as to improve the utilization rate of coal resources and reduce the emission of pollutants such as nitrogen oxides. To realize fine coal combustion, it is necessary to establish an accurate boiler combustion dynamic model. However, the actual operation of power plant boilers involves many links, including mult...

AI Technical Summary

Problems solved by technology

The coal quantity signal measuring point is generally located on the coal conveying belt, and is shared by multiple burners, which cannot realize the expected amount of pulverized coal entering the furnace at the current burner at the current moment as expected by the modeling of the boiler combustion system

[0003] In terms of soft measurement of coal quantity into the furnace, Cuicui Liu of North China Electric Power University proposed that field data obtained from DCS be reduced in dimension using PCA, and then SVM was used to build a soft measurement model of coal quantity, and achieved good results under steady-state conditions. Prediction effect, but does not mention the model performance under variable working conditions

Images