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A real-time dynamic prediction method for converter steelmaking quality based on data analysis

A converter steelmaking, real-time dynamic technology, applied in the direction of electrical digital data processing, special data processing applications, manufacturing converters, etc., can solve problems such as cost increase, reduce demand costs, improve detection accuracy, improve economic benefits and society benefit effect

Active Publication Date: 2016-07-06
NORTHEASTERN UNIV LIAONING
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  • Claims
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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

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  • A real-time dynamic prediction method for converter steelmaking quality based on data analysis
  • A real-time dynamic prediction method for converter steelmaking quality based on data analysis
  • A real-time dynamic prediction method for converter steelmaking quality based on data analysis

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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 ...

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Abstract

The invention provides a real-time dynamic prediction method of converter steelmaking quality based on data analysis, which includes: establishing a converter steelmaking quality offline prediction model database; dividing the molten steel temperature and carbon element content into several stage ranges, and establishing a real-time converter steelmaking quality Dynamic prediction model; perform real-time dynamic prediction of converter steelmaking quality based on the real-time dynamic prediction model of converter steelmaking quality; inspect the molten steel tapping composition content; and regularly update historical data collections. On the premise of ensuring that the requirements of the converter steelmaking process are met, the present invention performs real-time dynamic prediction of the molten steel temperature and molten steel quality during the converter steelmaking process, can track the conditions in the furnace in real time, and overcomes the defect of on-site delay and lag. It improves the detection accuracy of the content of each component, reduces production costs, and also reduces the cost of equipment requirements, providing valuable reference information for operator control.

Description

technical field [0001] The invention belongs to the technical field of real-time dynamic prediction of converter steelmaking quality, and specifically relates to a real-time dynamic prediction method of 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. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C21C5/28G06F19/00
Inventor 唐立新刘畅
Owner NORTHEASTERN UNIV LIAONING
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