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Power plant boiler NOx prediction model device based on improved quantum particle swarm optimization

A technology of quantum particle swarm and prediction model, applied in prediction, computational model, biological model, etc., can solve the problem of inaccurate boiler concentration prediction model, and achieve the effect of high prediction accuracy

Pending Publication Date: 2019-02-12
DATANG ENVIRONMENT IND GRP
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Problems solved by technology

[0003] In view of the above problems, the object of the present invention is to relate to a kind of accurate boiler NO x Emission concentration prediction model device to solve the current boiler NO x In the case of inaccurate concentration prediction models, it is convenient to control and reduce boiler NO x emission effect

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  • Power plant boiler NOx prediction model device based on improved quantum particle swarm optimization
  • Power plant boiler NOx prediction model device based on improved quantum particle swarm optimization
  • Power plant boiler NOx prediction model device based on improved quantum particle swarm optimization

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Embodiment Construction

[0028] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. Power plant boiler NO based on improved quantum particle swarm optimization of the present invention x Predictive model installations, specifically:

[0029] (1) The on-site data acquisition device, by collecting relevant data in the historical database in the DCS system, establishes boiler NO for the next step. x Preparation of emission concentration prediction model. When the operating conditions of the unit change, such as the replacement of coal types, frequent fluctuations in the AGC load command of the unit, and changes in combustion conditions (such as air distribution mode, excess air coefficient, etc.), the flue gas NO x A large disturbance occurs. In addition, the boiler NO x The emission concentration is related to factors such as coal feed volume, primary air volume, secondary air volume, and opening of the secondary air door baffle. Fin...

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Abstract

A power plant boiler NOx prediction model device based on improved quantum particle swarm optimization disclosed by the present inventon is composed of an on-site data acquisition device, a computer device and a communication device. The on-site data acquisition device prepares for establishing the prediction model of NOx emission concentration of boiler in the next step. The computer device realizes the model algorithm operation, utilizes the improved quantum particle swarm optimization algorithm to optimize the initial parameters of the limit learning machine, takes the error minimization ofthe training data prediction value and the actual value as the goal, and then obtains the accurate NOx emission model. The invention has the advantages that the improved quantum particle swarm algorithm can efficiently and quickly calculate the optimal initial parameters of the limit learning machine, so that the accurate NOx emission model of a boiler of a thermal power plant is obtained, whichis of great significance for reducing the pollutant emission of a coal-fired unit.

Description

technical field [0001] The invention relates to coal-fired power plant boiler NO x The field of emission prediction technology, especially related to a method based on improved quantum particle swarm optimization of power plant boiler NO x Predictive Modeling Devices. Background technique [0002] Coal is one of the main energy sources in my country, accounting for about 70% of the primary energy production and consumption. This coal-based energy structure determines that coal-fired thermal power generation plays a dominant role in my country's power production. According to statistics released by the China Electricity Council, thermal power generation accounted for 78% of the total power generation in 2012. It can be seen that thermal power generation is still the main way of electricity production in my country. NO from fuel combustion in coal-fired power plants x It is one of the main harmful substances of air pollution. Build accurate NO x Necessary conditions for ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q10/04G06N3/00
CPCG06N3/006G06Q10/04G06F30/20
Inventor 孟磊马宁谷小兵王晓燕孙海蓉李广林李婷彦马务宁翔
Owner DATANG ENVIRONMENT IND GRP
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