Method for fusing information of spatter predictive analyzers for AOD (argon oxygen decarburization) furnaces

A fusion method and analyzer technology, applied in the direction of instruments, biological neural network models, character and pattern recognition, etc., can solve the problems of difficult real-time control, high price, and reduced real-time forecast accuracy, so as to improve fault tolerance and prediction Accuracy, ensuring production safety, and improving the effect of forecasting accuracy

Inactive Publication Date: 2015-09-09
CHANGCHUN UNIV OF TECH
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Problems solved by technology

However, due to the limitation of sampling method and analysis time of this method, the accuracy of real-time forecast is greatly reduced. Therefore, most of this method is only used for research and analysis after the accident, and it is difficult to realize real-time control.
Not only that,

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  • Method for fusing information of spatter predictive analyzers for AOD (argon oxygen decarburization) furnaces
  • Method for fusing information of spatter predictive analyzers for AOD (argon oxygen decarburization) furnaces
  • Method for fusing information of spatter predictive analyzers for AOD (argon oxygen decarburization) furnaces

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Embodiment Construction

[0065] The method of the present invention is:

[0066] 1. Firstly, the audio signal in the furnace, the vibration signal of the furnace body and the flame image signal of the furnace mouth are collected respectively by using a super-directional microphone, a vibration sensor, and an infrared camera. After hardware preprocessing, the multi-function acquisition card is sent to the industrial computer; Combined with the wavelet packet method to extract the features of the signal, and extract useful information for judging the occurrence of splashing; finally, the data fusion method based on BP neural network is used for feature-level signal fusion. The signal acquisition and processing structure is as follows: figure 1 shown.

[0067] 2. For one-dimensional sound and vibration signals, first compare and analyze their FFT spectra to compare the overall frequency characteristics of the two; then perform time-domain wavelet packet spectrum analysis to observe their time-frequency v...

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Abstract

The invention discloses a method for fusing information of spatter predictive analyzers for AOD (argon oxygen decarburization) furnaces. The method has the advantages that spatter occurred in smelting procedures is used as a research object for low-carbon ferrochromium smelting production procedures of the AOD furnaces, features of in-furnace audio signals, furnace mouth flame images and furnace body vibration signals which are acquired in fields are extracted on the basis of deep analysis on spatter occurrence mechanisms in the smelting procedures, the feature-level signals are fused by the aid of a process for fusing data of BP (back propagation) neural networks on the basis of feature level fusion, accordingly, the most reasonable judgment results can be obtained, occurrence of spatter in the low-carbon ferrochromium smelting production procedures of the AOD furnaces can be accurately predicted by the aid of the method, the alloy yield can be increased, and the production safety can be guaranteed.

Description

technical field [0001] The invention relates to an information fusion method of an AOD furnace splash forecast analyzer. Background technique [0002] Cause Analysis of Spattering in Argon Oxygen Refining [0003] The main cause of AOD furnace spatter is the unbalanced chemical and thermal reactions in the furnace, resulting in a large amount of gas overflowing with a large amount of molten iron. In addition, due to operational errors or changes in the production process, under the violent flushing of a large amount of oxygen and nitrogen, the carbon-oxygen reaction inside the molten pool furnace is extremely unbalanced, and a large amount of CO, CO 2 eruption, resulting in the generation of splashes. [0004] During the AOD furnace smelting process, the following chemical reactions mainly occur in the furnace body, 1: direct reaction of carbon and oxygen C+O→CO↑, 2: indirect reaction of carbon and ferrous oxide C+FeO→CO+Fe 3: various Necessary trace mineral elements reac...

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Application Information

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IPC IPC(8): C21C7/068G06K9/62G06N3/02
Inventor 马海涛赵彬尤元吴立斌
Owner CHANGCHUN UNIV OF TECH
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