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A Comprehensive Judgment Method for Breakout Prediction of Slab Continuous Caster

A slab continuous casting machine, comprehensive judgment technology, applied in computer-aided design, design optimization/simulation, neural architecture, etc. Simple, convenient and practical

Active Publication Date: 2021-09-21
HEBEI IRON AND STEEL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, both have their own characteristics, and it is difficult to achieve zero false negatives and zero false positives at the same time.

Method used

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  • A Comprehensive Judgment Method for Breakout Prediction of Slab Continuous Caster
  • A Comprehensive Judgment Method for Breakout Prediction of Slab Continuous Caster
  • A Comprehensive Judgment Method for Breakout Prediction of Slab Continuous Caster

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] Attach Figure 1-3 It is a thermocouple temperature graph that detects the present invention, wherein figure 1 , 2 The 3 is the crystallizer fixed side 3, 4, 5 column thermocouple diagram. The circulating neural network determines that its temperature graph does not have bonded drain steel characteristics, and does not perform the final bonding leakage steel alarm.

Embodiment 2

[0035] Attach Figure 4-6 It is a thermocouple temperature graph that detects the present invention, wherein Figure 4 , 5 6 is the crystallizer fixed side 3, 4, 5 column thermocouple diagram. Circulating neural network determines that its 3,4,5 column thermocouple temperature graph has 2 temperature curves of 2 exhaust electrocouples having bonding drain steel characteristics. These thermocouples having bonded drain steel characteristics for circulating neural networks, unfained formulas between the thermocouples of each column Each line is not met between the thermocouples The final bonding leakage steel alarm is not performed.

Embodiment 3

[0037] Attach Figure 7-9 It is a thermocouple temperature graph that detects the present invention, wherein Figure 7 , 8 9 is the crystallizer fixed side 3, 4, 5 column thermocouple diagram. Circulating neural network determines that its 3,4,5 column thermocouple temperature graph has a temperature curve shape having a thermostatic electrocouple having a bonded drain steel feature. These thermocouples having a bonded drain steel characteristic of the circulating neural network, each column has a formula between the thermocouples of each column Each line is between the thermocouples Therefore, these 9 thermocouples have a spatial propagation characteristics of bonded leakage steel. 3 is a wide lateral side position thermocouple, each of which is 1.2, 4, and 5 are listed as a wide surface other position thermocouple, each thermocouple weight is 1. Therefore, the addition of the alarm thermocouple weight is: 1.2 × 3 + 1 × 3 + 1 × 3 = 9.6. The steel species produced is low carbon st...

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PUM

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Abstract

The invention discloses a comprehensive judgment method for steel breakout prediction of a slab continuous caster, which belongs to the technical field of continuous casting production monitoring methods. The technical solution is: establish a recurrent neural network model for each thermocouple on the copper plate of the crystallizer to judge whether the temperature curve of the thermocouple has the characteristics of bonded breakout; establish a logical judgment based on the spatial propagation law of the bonding point of the slab The model judges whether the thermocouples with the temperature curve of the bonded breakout feature have the spatial propagation characteristics of the bonded breakout; Different alarm thermocouples are given different weights. When the sum of alarm thermocouple weights is greater than the specified threshold, the system will give a final bonded breakout alarm signal. The present invention utilizes the respective characteristics and advantages of the artificial intelligence model and the logical judgment model, and the comprehensive model algorithm has significantly lower false negative rate and false positive rate than a single model, and is obviously superior to the traditional model algorithm.

Description

Technical field [0001] The present invention relates to a method of integrated judgment on a blank coating machine drain steel forecast, belonging to the technical field of continuous casting production monitoring methods. Background technique [0002] High-efficiency continuous casting is a high-capacity, high-job rate, with high-rise casting rate, high-job rate, high energy consumption, low quality, high quality, high quality, high quality, high quality, high quality Features. With the development of high-efficiency continuous casting technology, the heat loss of the crystallizer has increased significantly, and the probability of leakage steel accident has increased significantly, affecting the normal production of the coil casting machine. In order to accurately predict the leakage steel accident, the current thermocouple temperature is mainly based on the thermocouple temperature measurement and the artificial intelligence model. However, each of the two is difficult, it is ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B22D11/16G06F30/20G06F119/08
CPCB22D11/16G06N3/044
Inventor 高宇李阳刘占礼王鹏张士慧李会亚赵晓虎
Owner HEBEI IRON AND STEEL