Real-time dynamic converter steelmaking quality prediction method based on data analysis

A converter steelmaking, real-time dynamic technology, applied in the field of metallurgical steelmaking, can solve problems such as cost increase, and achieve the effects of reducing demand cost, improving detection accuracy, and improving economic and social benefits

Active Publication Date: 2015-05-20
NORTHEASTERN UNIV
View PDF6 Cites 42 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method uses the detection device to monitor the whole process of steelmaking dynamically. If the detection device is faulty, it will affect the prediction accuracy and increase the cost during the implementation process.

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
  • Real-time dynamic converter steelmaking quality prediction method based on data analysis
  • Real-time dynamic converter steelmaking quality prediction method based on data analysis
  • Real-time dynamic converter steelmaking quality prediction method based on data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0050] The purpose of the present invention is to accurately and dynamically predict the molten steel temperature and molten steel quality in the converter steelmaking production process, such as figure 2 As shown, the principle of real-time dynamic prediction of converter steelmaking quality based on data analysis is as follows: firstly, a prediction model database is established by collecting a large amount of historical data information, and relevant furnace condition information such as scrap steel and molten iron is used as historical data collection, and then different steel types are used to aggregate According to the method classification, find the reference heat sets belonging to different steel types as the reference standard for dynamic operation optimization, select relevant data sets that meet the conditions of molten steel temperature and ...

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 provides a real-time dynamic converter steelmaking quality prediction method based on data analysis. The method comprises the following steps: building a converter steelmaking quality off-line prediction model data base; respectively dividing liquid steel temperature and carbon element content into a plurality of stage ranges; building a real-time dynamic converter steelmaking quality prediction model; performing real-time dynamic converter steelmaking quality prediction according to the real-time dynamic converter steelmaking quality prediction model; testing the content of discharged steel components of the liquid steel; periodically updating the history data sets. The method provided by the invention is used for performing real-time dynamic prediction on liquid steel temperature and liquid steel quality during converter steelmaking on the premise of satisfying the technological requirements of converter steelmaking, can be used for tracking the condition inside a furnace in real time, and has the advantages of overcoming the defect of on-site delaying, improving the detection precision of each component content, lowering the production cost, also lowering the demand cost of equipment and providing valuable reference information for control of operators.

Description

technical field [0001] The invention belongs to the technical field of metallurgical steelmaking, and in particular relates to a real-time dynamic prediction method for converter steelmaking quality based on data analysis. Background technique [0002] Converter steelmaking is one of the important links in steel production. Its main goal is to smelt molten steel whose quality (mainly referring to the carbon content, silicon content, manganese content, sulfur content, and phosphorus content) of molten steel meets the requirements. Therefore, the real-time grasp of the temperature of molten steel and the state of various components in the smelting process has an important impact on the quality of molten steel. In this way, a prediction model of the entire smelting process of each element is required, and preparations are made before blowing to ensure safe operation. It goes smoothly and does not take up too many resources and increase costs. However, the quality information o...

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): C21C5/28
Inventor 唐立新刘畅
Owner NORTHEASTERN 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