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Online prediction method for ash combustible material content after combustion of coal ash boiler

A technology of pulverized coal boiler and prediction method, which is applied in the field of pulverized coal boiler combustion, can solve problems such as difficult to apply online prediction, difficult practical application, complex modeling, etc., achieve good application value, and avoid the effect of complex calculation and modeling

Active Publication Date: 2017-05-31
ELECTRIC POWER RES INST OF GUANGDONG POWER GRID +1
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Problems solved by technology

This method is complex in modeling and difficult to achieve practical application.
[0006] Relevant literature, such as "Modeling of Combustible Content in Boiler Fly Ash Based on Pre-Numerical Calculation" and "Online Soft Measurement Model Algorithm of Carbon Content in Power Plant Boiler Fly Ash", etc., all involve complex neural network model algorithms, which are difficult to apply in the field online prediction of

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  • Online prediction method for ash combustible material content after combustion of coal ash boiler
  • Online prediction method for ash combustible material content after combustion of coal ash boiler
  • Online prediction method for ash combustible material content after combustion of coal ash boiler

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[0048] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions protected by the present invention will be clearly and completely described below using specific embodiments and accompanying drawings. Obviously, the implementation described below Examples are only some embodiments of the present invention, but not all embodiments. Based on the embodiments in this patent, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this patent.

[0049] The invention provides an online prediction method for the content of fly ash combustibles after combustion of a pulverized coal boiler. The online prediction method includes:

[0050] According to the combustion theory, factors to predict fly ash combustibles include: coal type, low calorific value, operating oxygen amount, load, burnout air ratio, burnout time, and uneven distribu...

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Abstract

The invention provides an online prediction method for ash combustible material content after combustion of a coal ash boiler. The online prediction method comprises the following steps: analyzing factors influencing boiler ash combustibles; adjusting a test result through certain boiler combustion; analyzing in conjunction with a boiler combustion theory to obtain an influence factor influencing the boiler ash combustibles. On the premise of ensuring a certain prediction accuracy, the online prediction method can be implemented in a boiler combustion external control system in a logical way, and complicated computation and modeling in similar nervous network model prediction are avoided, so that the online prediction method has a high application value on the aspect of online combustion optimization control of the boiler.

Description

technical field [0001] The invention relates to the field of combustion of pulverized coal boilers, in particular to an online prediction method for the content of fly ash combustibles after combustion of pulverized coal boilers. Background technique [0002] The size of fly ash combustibles after pulverized coal boiler combustion reflects the completeness of pulverized coal combustion and directly affects boiler efficiency. The power plant takes it as an important indicator of daily supervision, samples fly ash every day or every shift, and sends them to the laboratory for further analysis. Analysis of combustible content. [0003] Due to the large time lag in laboratory analysis, it is not convenient to be used in boiler combustion adjustment in a timely manner. However, the online measurement of fly ash combustibles can be used to guide the online adjustment of boilers, and its technology has been continuously developed. There are two main types of online measurement tec...

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 沈跃良陈拓陈韶华唐义军尤海辉
Owner ELECTRIC POWER RES INST OF GUANGDONG POWER GRID
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