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

An ultra-supercritical boiler, pollution monitoring technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve problems such as large access and pollution of the heating surface of ultra-supercritical boilers, and achieve the effect of small mean square error

Inactive Publication Date: 2019-08-30
HARBIN UNIV OF SCI & TECH
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  • Claims
  • Application Information

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

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specific Embodiment approach 1

[0009] A kind of SVM-based ultra-supercritical boiler heating surface pollution monitoring method of the present embodiment, said method refers to the method of applying support vectors to the regression prediction process, is to minimize a convex function, and obtain a sparse solution:

[0010] The regression algorithm is to define a loss function that can ignore the error within a certain range of the true value, that is, the ε-insensitive loss function; it is to establish an ε-support vector machine regression machine on the ε-insensitive loss function, and then use the ε-support vector machine The υ-support vector regression machine is developed on the basis of the regression machine. The following mainly introduces the algorithm of ε-SVR.

specific Embodiment approach 2

[0012] Different from Embodiment 1, the SVM-based ultra-supercritical boiler heating surface pollution monitoring method of this embodiment is implemented through the following steps:

[0013] Step 1. Set the known training set. Set the known training set T={(x 1 ,y 1 ),…,(x l ,y l )}∈(X×Y) l , where x i ∈X=R n ,y i ∈Y=R, i=1,...l;

[0014] Select appropriate positive numbers ε and C, select appropriate kernel K=(x,x′); construct and solve the optimization problem:

[0015]

[0016]

[0017]

[0018] get the optimal solution

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/214G06F18/2411
Inventor 殷金英张晨
Owner HARBIN UNIV OF SCI & TECH
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