Breakout prediction method for continuous casting

Abstract

The invention relates to a breakout prediction method for continuous casting, belongs to the technical field of metallurgical continuous casting, and in particular relates to a breakout prediction method in plate blank continuous casting process. In terms of temperature monitoring-based breakout prediction algorithm, the self-adapting genetic algorithm is introduced into the BP (Back Propagation) neural network to achieve automatic optimization of the network structure and improve identification accuracy of a temperature monitoring model. In terms of friction monitoring-based breakout prediction algorithm, a friction monitoring model based on logical decision and neural network is established. Based on the prediction results of the two models, the method achieves combination of temperature monitoring accuracy and friction monitoring sensitivity, provides the prediction mechanism based on temperature monitoring in addition with friction monitoring and couples the temperature monitoring model to the friction monitoring model, so as to ensure the accuracy of final prediction and effectively reduce the false prediction rate.

Description

technical field [0001] The invention belongs to the technical field of monitoring in metallurgical continuous casting, and in particular relates to a breakout prediction method in a slab continuous casting process. Background technique [0002] Breakout is one of the most harmful production accidents in the continuous casting production process. It not only directly affects the continuous casting production, but also seriously damages molds, roller tables and other equipment, increases the amount of maintenance and maintenance costs, and causes huge economic losses. There are also huge security risks. [0003] At present, almost all breakout forecasting systems at home and abroad mainly predict continuous casting bonded breakouts through logic judgment and neural network. Among them, the neural network method has better self-adaptability and fault tolerance than the logical judgment method, and its performance has been continuously improved with time, so it has become the m...

AI Technical Summary

Problems solved by technology

However, in the actual production process, since the friction signal is susceptible to various interferences, the false positive rate of this method is very high, and there are also false positives.

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