Research For Casting Breakout Intelligent Prediction System

Breakout is the most catastrophic incident in continuous casting. It shatters equipment,reduces task efficiency and breaks the balance of producing. There are two main methods to avoid or reduce it internationally, one is to study the mechanism of breakout; the other is to explore techniques of breakout prediction.In the paper, the mechanism of breakout incident is firstly introduced. From this, it is necessary to predict the breakout in continuous casting. The status of researching in breakout prediction system at home and abroad indicate that breakout prediction system based on neural network replace breakout prediction system based on the logic has become a trend. The paper analyses the principle of breakout prediction deeply. The thermocouples detect the temperature in 15 consecutive sampling cycles in the mold.Actually, the process of breakout prediction is the process that recognizes waveform which have breakout omen. In view of this, the quantum neural network combines with wavelet theory form the quantum wavelet neural network model has been given. Experiments show that this model has great advantages in pattern recognition. The quantum neurons of hidden layer of the model using a linear superposition of wavelet function as incentive function, called multi-wavelet incentive function, such hidden layer neurons not only can express more of the status and magnitude, but also can improve network speed and accuracy of convergence. The model will reasonably allocate uncertainty of decision to all patterns, and reduce the uncertainty of pattern recognition, improve the accuracy of pattern recognition. The same time, the papers presented learning algorithm of quantum wavelet neural network.A new pre-processing method is proposed. This method has shown its effectiveness on our own developing breakout prediction system based on fuzzy neural network.. These results are employed to optimize the fuzzy neural network structure and parameters. The speed and curacy of breakout prediction system are improved.At last, the breakout prediction system is developed with Visual C# and MATLAB based on the Windows platform, which can simultaneously see all the function and circulation of all parts in continuous casting. The technique of fuzzy neural network, subtractive clustering and binary data window is used in this system, which has intuitionistic, clear, friendly interface and on-line help system.