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Operation optimization method and system for desulfurization system based on big data

A desulfurization system and operation optimization technology, which is applied in the field of providing strategies for desulfurization system operation optimization based on big data analysis, can solve problems such as unreasonable utilization of energy resources, and achieve the effect of reducing energy consumption and saving energy

Active Publication Date: 2022-06-07
JIANGSU FRONTIER ELECTRIC TECH +3
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Problems solved by technology

Based on the theoretical model, the present invention provides an operation optimization and improvement plan for the desulfurization system, and solves the problem of unreasonable utilization of energy resources in the previous desulfurization system

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  • Operation optimization method and system for desulfurization system based on big data

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Embodiment Construction

[0049] In order to better understand the technical content of the present invention, specific embodiments are given and described in conjunction with the accompanying drawings as follows.

[0050] combine figure 1 , the present invention proposes a method for optimizing the operation of a desulfurization system based on big data, the method comprising the following steps:

[0051] 1) Establish a theoretical model of the desulfurization system of the coal-fired power station and obtain the required data: build a theoretical model according to the actual equipment components and specific structure of the power station, and establish material conservation. to remove unit mass SO 2 The consumed currency is the efficiency evaluation index, which analyzes the data required by the project and cooperates with the power station to obtain the operation data for a certain period of time.

[0052] 2) Preprocess the obtained data: and conduct credibility review: remove unreasonable data,...

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Abstract

The invention discloses a method for optimizing the operation of a desulfurization system based on big data. Based on the theoretical model of the desulfurization system, the method performs regression analysis and big data analysis on the actual operation data of the power station, builds a mathematical model, and searches for the local and global optimum of the model. solution, and then supplemented by a theoretical model to propose an operation optimization method. Based on a theoretical model, the invention provides an operation optimization and improvement plan for the desulfurization system, and solves the problem of unreasonable utilization of energy resources existing in the previous desulfurization system.

Description

technical field [0001] The invention relates to the technical field of air pollutant control of coal-fired boilers, in particular to a method for providing a strategy for the operation optimization of a desulfurization system based on big data analysis. Background technique [0002] Today, coal-fired power plants, as traditional large polluters, have moved closer to the direction of refined management to improve the resource utilization efficiency of power plants and reduce energy consumption. [0003] However, in the actual operation process, due to the large number of equipment in the power station, it is often difficult for people to make accurate decisions when faced with the problem of how to allocate equipment to achieve the best work efficiency and fully protect equipment assets, which often results in excess energy consumption and resources. waste. At the same time, with the development of hardware equipment, more and more coal-fired power stations have begun to use...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06F17/18
CPCY04S10/50
Inventor 孙栓柱金保昇张友卫张勇周春蕾孙和泰孔志伟朱洁雯李逗王明黄翔许国强李春岩杨晨琛潘苗黄治军张磊
Owner JIANGSU FRONTIER ELECTRIC TECH