A Mixed Model Based Concentration Prediction Method for Thickener Underflow
A concentration prediction and mixed model technology, applied in prediction, biological neural network model, data processing application, etc., can solve the problems of increasing the cost of mineral processing, cumbersome modeling process, and restricting the production efficiency of thickeners
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[0131] A mixed model-based soft-sensing method research and a processing method to improve the prediction accuracy of underflow concentration
[0132] Step 1: Mechanistic modeling:
[0133] Step 1.1 Establishment of Mechanism Model:
[0134] The thickening process is based on gravity settlement. Obviously, the pulp concentration must depend on the settling time and the space height, so the pulp concentration can be expressed as C(z, t), where the z-axis is the positive direction downward, and t is the dense process time, such as figure 1 shown. We rationalize the assumption that the settlement process is one-dimensional. Since gravity settlement and compression are essentially one-dimensional, the one-dimensional settlement model can capture the basic characteristics of the process well. The mass conservation relationship of the sedimentation process can be described by the partial differential equation of formula (1):
[0135]
[0136] where v s ≥0 is the downward sed...
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