Rare earth extraction and separation process component content digital twinningning characteristic analyzing method

Abstract

The invention provides a rare earth extraction and separation process component content digital twinningning characteristic analyzing method, which comprises a rare earth extraction process workshop equipment device, a rare earth extraction process simulation platform and a rare earth extraction process component content digital twinningning system. According to the method, through acquisition and storage of field data, simulation of the rare earth extraction and separation process is realized, a PCA analyzing multi-branch neural network characteristic selection method is adopted, an extraction process component content digital twinning model is established, and fault analyzing and forecasting can be conducted on equipment such as a motor, a metering pump, a liquid level meter and a flow meter in the extraction and separation process through a digital twinning system; and monitoring and analyzing of the whole production state of the rare earth extraction process are achieved, and simulation of the whole production cycle of the rare earth extraction and separation process and prediction and influence of corresponding interference factors in the production process can be achieved through the digital twinning system.

Description

technical field [0001] The invention relates to the technical field of component content analysis in the rare earth extraction process, in particular to a digital twin feature analysis method for component content in the rare earth extraction and separation process. Background technique [0002] With the development of information technology, digital twin technology has received high attention at home and abroad in recent years because it can effectively interact data between virtual and real spaces, as an important enabling way to realize digital transformation and promote intelligent upgrading. And gradually move from theoretical research to practical application stage. With the support of sensors and their communication transmission technology, Internet of Things, big data, deep learning, cloud computing and other technologies, there are more and more researches on digital twin systems in the process industry. Using digital twin technology, the development and optimizati...

AI Technical Summary

Problems solved by technology

As a typical complex process industrial process, the rare earth extraction production process has the characteristics of strong coupling, large lag, difficult detection of component content, and long production cycle. It involves many processes, and the equipment characteristics, process formula, raw material properties and The operating parameters are closely related to the production performance indicators. In view of the problems existing in the product quality control of the rare earth extraction and separation process, the entire production process is currently in the stage of manual offline detection and control. Due to the large volume of the process industry and the low fault tolerance rate, once abnormal or Failure will make a batch of products invalid, causing huge economic and property losses

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