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Automatic controlling method and system of detecting discharge slag from ladle

A slag mixing and vibration signal technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of cumbersome installation process, high maintenance cost, short service life, etc. And the effect of stability guarantee and low cost

Inactive Publication Date: 2007-08-08
ZHEJIANG UNIV
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Problems solved by technology

However, due to the particularity of the continuous casting process and the harsh casting environment, the above detection methods mainly have the following problems in the application process: short service life, high cost, high maintenance cost, cumbersome installation process and need to Renovation of existing production equipment

Method used

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  • Automatic controlling method and system of detecting discharge slag from ladle
  • Automatic controlling method and system of detecting discharge slag from ladle
  • Automatic controlling method and system of detecting discharge slag from ladle

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Embodiment Construction

[0038] In conjunction with the accompanying drawings, the present invention will be described in detail below.

[0039] An automatic control method for ladle slag detection uses a hidden Markov model-based data recognition method (HMM) to process molten steel vibration signals.

[0040] 1. The basis for the automatic control method of ladle slag detection is:

[0041] 1. At the end of molten steel pouring in continuous casting production, the molten steel entrains part of the steel slag and swirls down. At this time, the impact on the shroud shows greater randomness and certainty in terms of impact strength and impact direction. Due to the non-stationarity of the slag, it is difficult to recognize the characteristics of the slag by using traditional data processing methods such as Fourier transform.

[0042] 2. HMM is a signal processing tool with strong time series modeling and pattern recognition capabilities, and is suitable for processing dynamic signals that are non-stat...

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Abstract

The invention relates to a metallurgical industry, which comprises classifying the vibrating signal into without dreg, mixed dreg and all dreg period as the training data, vectorization the signal frequency amplitude, forming model base, inputting observation data into each model by the vibrating signal in the pouring process, selecting the max. output probability working status as the identification result, with the system composed of treatment control unit module, power supply management unit module, electronic appliance control unit module, alarming unit module and front end control unit module. It can better solve the random issue of steel melt vibrating signal, with low cost, convenient seal, dismantle, transportation, maintenance, and easy mastery of the operator, with higher accuracy and stability.

Description

technical field [0001] The invention relates to the field of metallurgical industry, and more specifically relates to an automatic control method and system for ladle slag detection for molten steel continuous casting equipment. Background technique [0002] During the smelting process of molten steel, the oxidant and impurities in molten steel are mixed to form liquid steel slag, which has a light specific gravity and floats on the upper part of molten steel. In the late stage of molten steel casting, steel slag gradually flows into the tundish, which affects the quality of steel, and even makes continuous casting of molten steel impossible. In order to improve the quality of steel and increase the economic benefits of iron and steel enterprises, a variety of slag detection methods have been developed at home and abroad, such as: infrared technology detection, electromagnetic induction method detection, ultrasonic detection, etc. Among them, the electromagnetic detection m...

Claims

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Application Information

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IPC IPC(8): B22D11/18G01N27/74G06F19/00
Inventor 李培玉谭大鹏王国春
Owner ZHEJIANG UNIV
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