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Sintering Raw Material Composition Forecast System


In China, the variety of sintering raw materials is complex and the composition fluctuates greatly, and the sintering process has the characteristics of large lag, multi-coupling and complex dynamic process, which makes it difficult to accurately control the chemical composition of sintering raw materials. The sintering raw material composition forecasting system effectively solves this problem.

The system uses neural network technology to establish a mathematical model, and combines the process parameters and chemical test results collected in real time during the production process to obtain the forecasting results of sintering material composition. Through the strong self-learning ability of the neural network, the mathematical model can be continuously improved, thereby continuously improving the prediction accuracy.

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