Combustion optimization control method based on dynamic operation data analysis

A technology for data analysis and combustion optimization, applied in control systems, complex mathematical operations, lighting and heating equipment, etc., can solve problems such as large deviations in economic indicators of units, improve boiler efficiency, improve stability, steady-state components and fluctuations Component-accurate effects

Active Publication Date: 2022-07-26
CHINA UNIV OF MINING & TECH
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the NOx combustion optimization method and system of thermal power units in the above-mentioned patent, the following deficiencies were found: due to the more drastic changes in unit operating parameters, the greater the deviation of unit economic indicators calculated by changing parameters

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
  • Combustion optimization control method based on dynamic operation data analysis
  • Combustion optimization control method based on dynamic operation data analysis
  • Combustion optimization control method based on dynamic operation data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention is further outlined below in conjunction with the accompanying drawings.

[0035] A combustion optimization control method based on dynamic operation data analysis,

[0036] Step 1: Obtain the relevant historical operation data stored in the DCS of the unit in the past year;

[0037] Select the historical data stored by the DCS of the unit in the past year, and divide the entire load and temperature interval of the unit into 20-30 intervals with a cycle of 1-3min. The load in the load section does not change much, and it can be considered that the load is basically unchanged;

[0038] Step 2: Let all the running data sets be: A(m,k), where m is the sampling number, m=1, 2, 3...M, M is the total number of data samples; k represents the running parameter, k=1,2,3...K; data packets with different loads and temperature ranges are grouped into different data subsets, and the operating data is expressed as: X(i,j,k,l)i represents division The number o...

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 combustion optimization control method based on dynamic operation data analysis. The method comprises the following steps: obtaining related historical operation data stored by a unit DCS; classifying the data packets of different loads and temperature intervals into different data subsets, calculating a mean value of each operation parameter of each load and temperature interval, and performing vacancy filling and smooth filtering to obtain an operation data steady-state component for analysis; after the steady-state components are obtained, the corresponding steady-state components are subtracted from all the operation data sets, and a fluctuation operation data set is obtained; calculating a correlation coefficient between each parameter and the total coal quantity and/or the flue gas NOx concentration; and giving an optimization suggestion according to the obtained correlation coefficient. According to the method, by analyzing the dynamic operation data under the unsteady-state working condition, the feasibility of revealing the operation characteristics of the unit and extracting the optimized operation control rule is improved, and the accuracy of operation control is improved.

Description

technical field [0001] The invention relates to the technical field of correlation analysis and combustion optimization control, in particular to a combustion optimization control method based on dynamic operation data analysis. Background technique [0002] Since the "smart power plant" has become a hot spot in the power generation industry, the research and development of intelligent power generation technology in the traditional thermal power industry has gradually expanded from the application of advanced information technology on the surface to the research and development level of the underlying core and difficult technologies. The operation data stored in the DCS system of the power plant is an important basis and condition for the research and development of intelligent power generation technology. The "Intelligent Power Generation Technology Center" can be built in the technology research institute of a certain scale of power generation group to focus on the researc...

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): F22B35/00G06F17/18
CPCF22B35/00G06F17/18
Inventor 周怀春孙健超彭献勇王志闫伟杰余波陈玉民
Owner CHINA UNIV OF MINING & TECH
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