Data operation optimization method based on power plant desulfurization system

A desulfurization system and operation optimization technology, applied in the field of air pollution control of coal-fired boilers, can solve problems such as energy and resource waste, and achieve the effects of saving energy, reducing the amount of data, and reducing the cost of removal

Active Publication Date: 2019-09-20
SOUTHEAST UNIV +1
View PDF4 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: In view of the above problems, the present invention provides a method based on theoretical analysis, assisted by numerical simulation, and using big data analysis to provide strategies for desulfurization system operation optimization. Waste of energy and resources due to pollution discharge standards

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data operation optimization method based on power plant desulfurization system
  • Data operation optimization method based on power plant desulfurization system
  • Data operation optimization method based on power plant desulfurization system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0049] The method of the present invention takes the desulfurization system of the power station as the analysis and research object, and conducts in-depth analysis of the actual operation data of the power station of the system by means of Fluent software simulation and big data analysis methods, so as to not only obtain data information that the power station cannot provide but has important significance , and can build a mathematical prediction model and obtain the local and global optimal solutions of the model. At the same time, with the aid of the theoretical model, the combination of the three provides operation optimization and improvement strategies for the actual operation of the desulfurization system.

[0050] refer to figure 1 As shown, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a data operation optimization method based on power plant desulfurization system, and the method comprises the steps: obtaining the actual operation data of a power plant actual operation system in a certain time period, and carrying out the preprocessing and regression analysis of the actual operation data; dividing different working conditions according to the operation load, and performing numerical simulation to obtain overall flow field, temperature and SO2 component distribution conditions of the desulfurization system under different working conditions; carrying out big data analysis on the actual operation data of the desulfurization system of the coal-fired power plant to obtain an optimal interval of the operation data under the determined working condition; and practicing the big data optimization result in the simulation result to check the accuracy of the optimization result. According to the method, the working conditions are firstly distinguished before the neural network prediction model is established, so that the data size is reduced, the relationship among the energy consumption, the sulfur removal rate output parameters and the influence factors is relatively clear and simple, and the precision can be ensured.

Description

technical field [0001] The invention relates to the technical field of air pollution control of coal-fired boilers, in particular to a data operation optimization method based on a desulfurization system of a power plant. Background technique [0002] At present, environmental pollution has become one of the main roadblocks hindering the healthy, high-quality and sustainable development of the country's economy, and coal-fired power stations are the key targets of environmental problems, and the country continues to improve pollutant discharge standards. In order to meet pollutant discharge standards, coal-fired power stations often adopt countermeasures of fully using materials for decontamination, which leads to a waste of resources to a certain extent. [0003] At the same time, the desulfurization system involves heat and mass transfer, acid-base neutralization, water evaporation, droplet coalescence and fragmentation, etc., and the actual operation is complicated. Altho...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50Y02E40/70
Inventor 金保昇孔志伟孙和泰孙栓柱张友卫周春蕾李逗朱洁雯张勇
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap