Automatic control method of Rp value of alumina digestion outlet in the Bayer process

Abstract

The invention discloses an automatic control method of Rp value of the alumina digestion outlet in the Bayer process, relating to a control method in the digestion of alumina production in the Bayer process, characterized in that: using an intelligent optimal setting technique aiming at searching the optimum Rp value of the digestion outlet, and according to the Rp target value of the digestion outlet, laboratory Rp value of the digestion outlet, the alumina concentration in slurry in the digestion inlet, the solid content of the grinding outlet, supplementary mother liquor concentration and temperature, and ore component value, intelligently setting the density value of the slurry in the inlet of the digestion system by the computer. According to the invention, by using the soft sensing technique to continuously measure the density value of the slurry in the digestion inlet, using the intelligent optimal setting technique to automatically set the density value of the slurry in the digestion inlet, and using the cascade control system to realize the automatic control of the Rp value of digestion outlet, the stability of alumina indexes is guaranteed.

Description

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AI Technical Summary

Benefits of technology

This patented innovation improves upon existing methods for optimizing the quality of mineral processing processes through improved efficiency or reduced costs associated therewith. It involves utilization of various techniques such as machine learning algorithms that predict future production needs based on past data from experiments conducted over time. By analyzing these predictions, it can help optimize process conditions while reducing operational delays. Additionally, this new method uses computer simulations to determine optimal settings without requiring expensive equipment like X-ray fluorescence analysis devices. Overall, this technical effect allows efficient and effective mineral extraction operations

Problems solved by technology

This patents describes different ways for controlling the concentration of acidic gases during manufacture processes such as bauxite smelting. However, current techniques involve manual measurements by operators who can lead to errors caused by factors like fluctuations in pH levels and other variables involved. Additionally, there may exist variations between batches produced from one plant over time causing further complications when trying to maintain consistently good performance across multiple facilities. Therefore, these existing solutions require expensive monitoring devices and advanced analysis tools, making them challenged towards automation.

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