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Fly ash carbon content soft measurement method and monitoring system based on hierarchical polynomial model

A technology of fly ash carbon content and polynomial model, which is applied to measuring devices, analyzing materials, complex mathematical operations, etc., and can solve problems such as increasing the complexity of combustion parameters

Pending Publication Date: 2022-01-11
WUHAN TEXTILE UNIV
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Problems solved by technology

[0004] At present, some existing technologies have studied the method of soft measurement of carbon content in fly ash. However, after a long period of development of coal-fired power generation technology, a very complicated combustion scheme has been formed. Multi-layer burners usually correspond to multiple However, according to the load and inventory coal quality, the organizational form of multi-coal layered combustion is often adopted, which greatly increases the complexity of combustion parameters, which poses a greater challenge to the soft measurement of fly ash carbon content. challenge
However, no effective technical route has been proposed for the current complex combustion organization scheme in the existing schemes, so it is necessary to carry out data processing for the situation of multiple combustion layers and multiple coal mills, and establish a suitable model based on this, and finally deploy Go to the combustion site and use it in the actual combustion system

Method used

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  • Fly ash carbon content soft measurement method and monitoring system based on hierarchical polynomial model
  • Fly ash carbon content soft measurement method and monitoring system based on hierarchical polynomial model
  • Fly ash carbon content soft measurement method and monitoring system based on hierarchical polynomial model

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Embodiment 1

[0058] In the first embodiment, the final carbon content prediction model of the fly ash is obtained by using the soft measurement method of the carbon content of the fly ash based on the layered polynomial model, and the soft measurement value of the carbon content of the fly ash is calculated by using the model, which specifically includes the following steps:

[0059]Step 1. Obtain historical data of all power plant operating conditions in a period of time (for example, 90 days), wherein the operating condition measurement points obtained include the coal feeding amount of each coal mill, the primary air pressure, air temperature, Air volume, separator outlet temperature and current, etc., the opening of the secondary air door on each floor, the temperature, pressure, air volume and oxygen content of the primary air and secondary air related to the air preheater, the air supply temperature, pressure, Air volume, oxygen content of the tail flue, exhaust gas temperature, and s...

Embodiment 2

[0082] The second embodiment is a system for on-line monitoring of carbon content in fly ash using the soft measurement method of carbon content in fly ash based on the layered polynomial model in embodiment 1. The specific monitoring method of the system is as follows:

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Abstract

The invention provides a fly ash carbon content soft measurement method based on a hierarchical polynomial model and a monitoring system. The soft measurement method comprises the following steps: step 1, acquiring historical actual measurement parameter values of a plurality of working condition measurement points related to a whole boiler and each layer of combustors; respectively calculating the change time of each relative working condition measuring point to the reference working condition measuring point; step 2, correlating reference working condition measuring point parameter values at all moments in the historical data with all relative working condition measuring points at corresponding moments after corresponding change time is deducted to obtain working condition measuring point parameters of all groups; step 3, further dividing the grouped and associated historical data into high-oxygen-content samples and low-oxygen-content samples by taking the oxygen content values of the samples as segmentation points; step 4, adopting a hierarchical polynomial model suitable for a complex power plant as a prediction model to obtain two fly ash carbon content calculation formulas which respectively correspond to the low-oxygen-content sample and the high-oxygen-content sample and reflect the specific mapping relation between the fly ash carbon content and the characteristic working condition measuring point parameters; and step 5, calculating the carbon content of the fly ash.

Description

technical field [0001] The invention belongs to the technical field of boiler fly ash carbon content measurement, and in particular relates to a soft measurement method and a monitoring system for fly ash carbon content based on a layered polynomial model. Background technique [0002] Thermal power generation is the main power generation method in my country. Improving the combustion thermal efficiency of boilers and reducing heat loss can bring huge economic benefits. The main heat loss of the boiler includes exhaust smoke heat loss, mechanical incomplete combustion heat loss, chemical incomplete combustion heat loss, ash physical heat loss, fly ash heat loss and furnace heat loss. The heat loss of fly ash is second only to the heat loss of exhaust gas, and it is an important index affecting the thermal efficiency of boilers. In the actual operation of the boiler, it is difficult to adjust the combustion conditions of the real furnace to the best condition based on limite...

Claims

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Application Information

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IPC IPC(8): G06F17/16G06F17/18G01N33/00
CPCG06F17/16G06F17/18G01N33/00
Inventor 刘军平骆海瑞彭涛胡新荣何儒汉朱强张俊杰熊明福
Owner WUHAN TEXTILE UNIV
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