Multi-model wet desulphurization efficiency prediction method based on optimal training sample
A technology for wet desulfurization and training samples, applied in system integration technology, instruments, information technology support systems, etc., can solve problems such as limited effect, no preliminary sample selection research, etc., to achieve sample economy, representativeness, and good data foundation. Effect
Active Publication Date: 2022-08-09
DATANG ENVIRONMENT IND GRP
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However, most of the research is based on a single algorithm for modeling, and at the same time, there is no research on the selection of early samples in the modeling process, and the effect achieved is relatively limited.
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[0036] The following examples will be based on the embodiments to clearly and complete the technical scheme of the present invention. Obviously, the embodiment described is part of the embodiments of the invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technical personnel in the art under the premise of not creating creative labor belong to the protection of the present invention.
[0037] In the description of the present invention, it is necessary to understand that the term"center","vertical","horizontal","length","width*width*width*width*width*width*width*width*width*width*width*width*width*width*width*width*width*width*width*width* #*,"Thickness","above","below","","back","" 、"右"、"竖直"、"水平"、"顶"、"底"、"内"、 "Outer","clockwise","counterclockwise"The position or location of the instructions of the other is based on the position or location of the attachment, just to facilitate describing this this this Inve...
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The invention discloses a multi-model wet desulfurization efficiency prediction method based on an optimal training sample, and belongs to the technical field of flue gas desulfurization of a coal-fired power plant. The method comprises the following steps: analyzing a reaction mechanism of a desulfurization system, determining influence factors of the desulfurization efficiency of the wet desulfurization system, and collecting operation historical data; screening operation historical data according to the wet desulphurization system operation economic model and the desulphurization efficiency, and establishing an optimal training sample; according to the optimal training sample, constructing a desulfurization efficiency model based on a plurality of machine learning weighting methods; and acquiring a desulfurization efficiency influence factor at the current moment, and inputting the desulfurization efficiency influence factor into the established desulfurization efficiency model to obtain the desulfurization efficiency at the current moment. By means of the method, a nonlinear model between the desulfurization operation parameters and the desulfurization efficiency is established, a novel calculation method is provided for calculation of the desulfurization efficiency, and the method has certain guiding significance for operation, energy conservation and consumption reduction of a desulfurization system.
Description
Technical field [0001] The invention involves the field of smoke desulfurization technology in coal -fired power plants, especially a multi -model wet desulfurization efficiency prediction method based on the optimal training sample. Background technique [0002] After the transformation of ultra -low emissions, it is required that the coal -fired power plant SO is required 2 Concentration emission concentration must be less than 35mg / m 3 , Limestone / Gypsum Wet Desulfurization has many advantages such as technology maturity and high reliability, becoming so coal -fired power plants so 2 The best choice for concentration removal technology. The desulfurization efficiency is an important indicator of desulfurization system desulfurization level. The main factors that have established desulfurization efficiency models and analyzing the desulfurization efficiency are of great significance for the energy saving and consumption reduction of the desulfurization system in the coal -fired...
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IPC IPC(8): G05B13/04
CPCG05B13/042Y04S10/50
Inventor 袁照威曹书涛孟磊李婷彦张国柱白玉勇于静梁东杨大洲夏法鹏闫欢欢王刚杜明生
Owner DATANG ENVIRONMENT IND GRP