Detection method of key variables in hydrometallurgical dense washing process
A dense washing, hydrometallurgical technology, applied in measuring devices, instruments, etc., can solve problems such as slow speed, obstruction, and difficult sedimentation
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[0125] Implementation of a forecasting method for key variables on a thickener line.
[0126] The specific implementation process is as follows:
[0127] 1) Auxiliary variable selection: The selection of auxiliary variables is the first step in establishing the soft sensor model. This step determines the input information matrix of the soft sensor, thus directly determining the structure and output of the soft sensor model. It is crucial. The selection of auxiliary variables includes the selection of variable type, the selection of variable number and the selection of detection point location.
[0128] In the dense washing process, we select feed concentration, feed flow, underflow flow, and overflow flow as auxiliary variables.
[0129] 2) Data collection and processing: Data collection was carried out on-site during the dense washing process. The specific measuring instruments are the corresponding instruments introduced above, and the corresponding production condition d...
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