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Denitration control method and system based on deep learning method

A technology of deep learning and control method, applied in the field of denitration control based on deep learning method, can solve the problems of inability to achieve control effect, measurement lag, inaccurate measurement, etc. The effect of ammonia

Inactive Publication Date: 2020-08-11
DATANG ENVIRONMENT IND GRP
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Problems solved by technology

There are problems such as measurement lag and inaccurate measurement of NOx concentration at the outlet of the denitrification reactor. As a result, the denitrification control system will inevitably lead to "failure", which will fail to achieve a good control effect and affect the normal operation of the unit.

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  • Denitration control method and system based on deep learning method
  • Denitration control method and system based on deep learning method
  • Denitration control method and system based on deep learning method

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Embodiment Construction

[0041] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] see Figure 1 to Figure 2 , the present invention provides a technical solution:

[0043] Such as figure 1 As shown, a denitrification control method based on a deep learning method provided by an embodiment of the present invention includes the following steps:

[0044] Step 101, by analyzing the combustion principle of the boiler of the coal-fired unit and the mechanism of the SCR denitrification reaction, determine the variables related to the NOx con...

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Abstract

The invention discloses a denitration control method and system based on a deep learning method. The method comprises the following steps: a combustion principle of a coal-fired unit boiler and an SCRdenitration reaction mechanism are analyzed, a variable related to the NOx concentration at the outlet of the SCR reactor is determined; historical operation data related to NOx at an SCR outlet arecollected; historical data is preprocessed through discrete points and a normalization method; an outlet NOx concentration intelligent prediction model is established by adopting a deep belief network, the outlet NOx concentration at the current moment is obtained on the basis of real-time operation data, and by analyzing the combustion principle of a coal-fired unit boiler and an SCR denitrationreaction mechanism, the influence factors related to SCR outlet NOx in the step 101 comprise unit loads. By means of the method, the NOx concentration of the outlet of the SCR reactor can be predictedin advance, the ammonia spraying amount can be adjusted in time, meanwhile, the provided control system adopts a deep learning method, the intelligent level of the denitration system can be greatly improved, and the workload of operating personnel is reduced.

Description

technical field [0001] The invention relates to the technical field of flue gas denitrification in coal-fired power plants, in particular to a denitrification control method and system based on a deep learning method. Background technique [0002] With the promulgation of a series of national policies and regulations, such as "Air Pollution Prevention and Control Law", "Emission Standards of Air Pollutants for Thermal Power Plants", "Regulations on the Administration of Collection and Use of Sewage Discharge Fees", "Comprehensive Implementation of Ultra-low Emissions and Energy-saving Transformation of Coal-fired Power Plants" The Air Pollutant Emissions of Coal-fired Power Plants has been brought into strict supervision, and each power plant has successively carried out retrofits for ultra-low emission of flue gas. After the ultra-low emission transformation, it is required that the NOx emission concentration of coal-fired power plants must be lower than 50mg / m3. It has bec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/05G16C20/10G06Q10/04G06N3/08G06N3/04
CPCG05B19/054G16C20/10G06Q10/04G06N3/084G06N3/045
Inventor 孟磊袁照威谷小兵白玉勇曹书涛李广林李本锋李婷彦马务
Owner DATANG ENVIRONMENT IND GRP
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