A method for identifying the working condition of an electric fused magnesium furnace

Abstract

The present invention provides a method for identifying working conditions of a fused magnesia furnace, comprising: S1, obtaining online data within a preset period in the working conditions of a fused magnesia furnace; S2, using a CURD clustering algorithm to perform all continuous attribute data in the online data Clustering; S3. According to the preset data extraction circle, filter out the data points outside the data extraction circle in each initial cluster, and form a new class with the data points in each initial cluster in the data extraction circle. The filtered data points are classified into the new category closest to it, and the discretization result of the continuous attribute data is obtained; S4, according to the discretization result of the continuous attribute data and the original discrete attribute data in the online data, and the working condition decision table. Matching, the matching result is used as the working condition identification result of the current fused magnesium furnace. The identification result of the working condition of the fused magnesium furnace can be made more accurate, and the identification method is also faster and safer.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of an electric fused magnesium furnace, in particular to a method for identifying working conditions of an electric fused magnesium furnace. Background technique [0002] The smelting process of the electric smelting magnesium furnace is complex and changeable, involving the switching between many different working conditions. Due to the change of the impurity composition of the charge and the particle length, the smelting state will change. If the position of the electrode is not checked in time The adjustment will cause the occurrence of abnormal working conditions and affect the normal production of the enterprise. Therefore, timely identification of the working conditions of the fused magnesium furnace is of great significance to the safe and efficient production of the enterprise. [0003] During the actual smelting process of the fused magnesium furnace, the following problems will ...

AI Technical Summary

Problems solved by technology

[0003] During the actual smelting process of the fused magnesium furnace, the following problems will occur: ① During the smelting process of the fused magnesium furnace, the site environment is harsh and the current fluctuates frequently. The smelting process puts a great test on the workers. Once a fault occurs, the on-site operators often cannot distinguish the fault in a timely and accurate manner; ②The operation of the fused magnesium furnace is complex and changeable, and a large amount of information will be generated during the production process. The data collected on site is also accompanied by a lot of interference and noise. There may be no problems with the components of the system when a fault occurs, but because the particle size and impurity components of the raw materials have changed during the complex production process, there is no impact on the fused magnesium. The correct and timely operation of the furnace; ③ Some existing methods for identifying the working conditions of the fused magnesium furnace often only use the current value when the fused magnesium furnace is generated, and establish an expert knowledge base according to the changing trend of the current, but they are complex and changeable The on-site environment often brings the problem of low accuracy or untimely identification of working conditions, resulting in a decrease in product output

[0004] Therefore, in order to solve the problem of unintelligent and inaccurate identification of abnormal working conditions in the smelting process of the fused magnesium furnace, a method for identifying the working conditions of the fused magnesium furnace is urgently needed

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