SVM-based ultra-supercritical boiler heating surface pollution monitoring method

Abstract

The invention discloses an SVM-based ultra-supercritical boiler heating surface pollution monitoring method, and belongs to the field of monitoring systems. Traditional calculation results based on heat balance and heat transfer principles often have large access to actual working conditions. An SVM-based ultra-supercritical boiler heating surface pollution monitoring method applies a support vector method to a regression prediction process, minimizes a convex function, and obtains a sparse solution: defining a loss function which can ignore a real value error, i.e., an epsilon insensitive loss function; an epsilon-SVM regression machine is established on the basis of the epsilon insensitive loss function; based on the epsilon-SVM regression machine, an upsilon-SVM regression machine is developed. The mean square error of the detection result is very small, and the curve can well track the actual process.

Description

technical field [0001] The invention relates to a SVM-based ultra-supercritical boiler heating surface pollution monitoring method. Background technique [0002] In recent years, domestic and foreign researchers have carried out in-depth research on the on-line monitoring of ash pollution on the heating surface of large coal-fired boilers and the optimization of soot blowing, and have been widely used and promoted as important measures for energy saving and safe operation. At present, the online monitoring system developed based on the principle of heat balance and heat transfer calculation has been used in many subcritical and supercritical boilers. However, the boiler is a very complex dynamic system, and there are many factors that affect the heating area of ​​the boiler, such as the layout of the heating surface, the flow rate of the flue gas, the load fluctuation, the coal quality, the presence or absence of soot blowing, etc. The results of theoretical calculations ar...

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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the results calculated based on the traditional heat balance and heat transfer principles often have a large discrepancy with the actual working conditions, and propose a method for monitoring the pollution of the heating surface of an ultra-supercritical boiler based on SVM

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