Crystallizer bleed-out forecasting system based on logic judgment

A prediction system and logic judgment technology, applied in the field of mold breakout prediction system, can solve problems such as poor sealing, unstable performance, insufficient prediction accuracy and alarm timeliness.

Active Publication Date: 2017-08-29
ANHUI UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

Although the prediction control method improves the accuracy of steel breakout prediction to a certain extent and reduces the number of false alarms, it does not take into account the response time and timeliness of the bonding alarm, especially when the temperature amplitude inspection is used. The identification and alarm time of a single thermocouple bonding temperature waveform is late, which may not be able to report the bonding behavior in time. If the alarm is late, even if the machine is shut down directly, it cannot guarantee the repair of the bonding crack without steel leakage. If it is earlier The alarm can be maintained at a low shell healing rate to repair the bonded crack without stopping the machine or stopping pouring, which increases unnecessary operation time, reduces production efficiency and increases equipment loss.
[0005] Patent document CN102825234A discloses a method for judging and alarming bonded breakouts. The method for judging and alarming is based on the time-lag of the temperature of multiple rows of thermocouples in space and the characteristics of temperature curve crossing (ie, temperature inversion). The typical temperature change waveform mode or the theoretical temperature change waveform mode is designed, but in the actual production process, not all bonding temperature change waveform modes will show the "temperature inversion" phenomenon, and the actual production is due to the liquid steel level fluctuations, Influenced by factors such as mold flux performance, molten steel flow, and thermocouple failure, temperature inversion of the upper and lower thermocouples on the copper plate of the mold often occurs, or in non-bonding conditions such as unsteady casting and thermocouple failure, there are often relatively high Large thermocouple temperature fluctuations are also prone to temperature inversion, so the design of this method undoubtedly increases the probability of false positives and negative negatives
[0006] A comprehensive investigation of the current domestic and foreign breakout forecasting systems and logical judgment forecasting methods found that the main problems are as follows: (1) The failure of the thermocouple itself caused abnormal changes in the meas...

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  • Crystallizer bleed-out forecasting system based on logic judgment
  • Crystallizer bleed-out forecasting system based on logic judgment
  • Crystallizer bleed-out forecasting system based on logic judgment

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Embodiment 1

[0081] like figure 1 As shown, the method for predicting mold breakout based on logic judgment in this embodiment includes the following steps:

[0082] Step 1. Read the logic judgment rule parameters in the breakout prediction method from the parameter configuration file, including data preprocessing logic judgment parameters, thermocouple temperature rise inspection logic judgment parameters, thermocouple temperature rise rate inspection logic judgment parameters, thermocouple temperature Change delay inspection logic judgment parameters, thermocouple temperature drop inspection logic judgment parameters, thermocouple temperature inversion inspection logic judgment parameters, bonding breakout light alarm and heavy alarm logic judgment parameters.

[0083] Step 2, collecting, storing and preprocessing the time series data of the thermocouple temperature of the crystallizer copper plate.

[0084] First, collect the time-series temperature data of all thermocouples in the cop...

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Abstract

The invention belongs to the field of metallurgy continuous casting production process control, and more specifically relates to a crystallizer bleed-out forecasting system based on logic judgment. According to the system, a hardware component comprises a combined type crystallizer, thermocouples, bleed-out forecasting system computers, a PLC, an interchanger, thermocouple compensation cables, an audible and visual alarm, a relay and a remote station, and further comprises a data acquisition unit, an automatic bleed-out data compression storage unit, a self-learning and off-line analysis unit and an alarm and execution unit, wherein the bleed-out forecast system computers comprise a client-side computer and a server computer, the client-side computer is used for monitoring and displaying bleed-out data, and the design of embedding rows and line spacing of the thermocouples enables the time required to propagate a thermocouple interval in the transverse direction and in the longitudinal direction of bonding tearing openings is the same. The system has the advantages that the timely and accurate forecast for bonding bleed-out can be realized, the smooth continuous casting production can be ensured, and the casting blank quality can be improved.

Description

technical field [0001] The invention belongs to the field of metallurgical continuous casting production process control, and more specifically relates to a crystallizer breakout forecast system based on logic judgment. Background technique [0002] The rapid development of modern high-efficiency continuous casting technology requires not only high-quality continuous casting slabs, but also high casting speed. Bonded breakouts have always been an important problem restricting high-speed continuous casting. Solving the impact of bonded breakouts on continuous casting production It is of great significance to go forward and produce high-quality slabs. At present, in addition to improving the process conditions that induce slab shell bonding, the main means is to develop a mold breakout prediction system with high prediction accuracy, low false alarm rate, and fast response. The mold breakout prediction system commonly used at home and abroad is mainly to embed a certain number...

Claims

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Application Information

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IPC IPC(8): B22D11/16
CPCB22D11/16
Inventor 何飞张玲颖张林林
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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