Data sample screening and reconstruction method in high nickel matte flotation process modeling

By screening and reconstructing the data of the high nickel matte flotation process, constructing an independent sample data set and using the RNN model, the problem of data discontinuity is solved, the flotation grade and yield are improved, and the long time lag characteristics of the system are adapted.

CN113987951AActive Publication Date: 2022-01-28JINCHUAN GROUP NICKEL COBALT CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JINCHUAN GROUP NICKEL COBALT CO LTD
Filing Date
2021-11-05
Publication Date
2022-01-28

AI Technical Summary

Technical Problem

During the high-nickel matte flotation process, due to the real-time working condition data being mutated, zero, and not updated, the data is discontinuous and cannot be directly used for modeling. Data reconstruction is required to improve flotation grade and yield. .

Method used

By determining the system lag parameters, filtering and reconstructing the data, eliminating invalid data, constructing an independent sample data set, and using the RNN model for modeling, setting the input lag and output lag parameters to zero to adapt to long time lag characteristics.

Benefits of technology

It improves the flotation grade and yield of the high nickel matte flotation process, solves the problem of data discontinuity, and adapts to the long time lag characteristics of the system.

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Abstract

The invention discloses a data sample screening and reconstruction method in high nickel matte flotation process modeling, relates to the technical field of high nickel matte flotation process data modeling, and solves the technical problem of data validity in an actual modeling process. The method comprises the following steps: selecting a system lag parameter p according to the actual process of a high nickel matte flotation system, and reconstructing data samples; marking invalid data; integrating discontinuous data in time, and constructing mutually independent sample data sets; carrying out matrix recombination on the extracted samples, and carrying out RNN modeling. According to the invention, data are preprocessed according to the actual working condition of high nickel matte, invalid data are removed, and some data blocks which are discontinuous in time are obtained.
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