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Anode effect detecting method based on anode guide rod vibration

An anode guide rod and anode effect technology, which is applied in the field of anode effect detection based on the vibration of the anode guide rod, can solve the problems of vibration of the anode guide rod, reducing the number of occurrences of the anode effect or extinguishing it in time, and being unable to predict the occurrence or location of the anode effect. Achieve the effect of low input cost and reduce data labeling resource input

Inactive Publication Date: 2020-10-13
SHENYANG ALUMINIUM MAGNESIUM INSTITUTE
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AI Technical Summary

Problems solved by technology

[0006] However, by analyzing the fluctuation of the voltage of the electrolytic cell to realize the online detection of the anode effect, only the anode effect of the electrolytic cell can be detected, but the occurrence of the anode effect cannot be predicted or located on the specific anode where the effect occurs, so as to reduce the number of occurrences of the anode effect or Timely extinguishing of the anode effect poses certain difficulties
In addition, some current domestic and foreign studies have shown that in the process of aluminum electrolysis, one of the main processes to detect the performance of the anode is the generation of air bubbles in the anode, and the generation and movement of air bubbles will cause the vibration of the anode guide rod

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  • Anode effect detecting method based on anode guide rod vibration
  • Anode effect detecting method based on anode guide rod vibration
  • Anode effect detecting method based on anode guide rod vibration

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Embodiment Construction

[0033] Such as figure 1 As shown, a kind of anode effect detection method based on the vibration of the anode guide rod of the present invention comprises:

[0034] Step 1: Collect the vibration data of the anode guide rod in different states;

[0035] Step 2: Perform feature extraction on the vibration data to obtain vibration feature data;

[0036] Step 3: Automatically mark the vibration characteristic data to obtain marked sample data;

[0037] Step 4: Learn the labeled sample data, train and generate a state detection model;

[0038] Step 5: During online detection, collect real-time vibration data, perform feature extraction on the real-time vibration data, input the obtained real-time vibration feature data into the trained state detection model for state detection, and send corresponding signals according to the detection results.

[0039] This method detects the anode effect based on the vibration of the anode guide rod caused by the bubble generation process. By ...

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Abstract

The invention provides an anode effect detecting method based on anode guide rod vibration. According to the method, anode effect is detected based on vibration of an anode guide rod caused in the process of generating air bubbles. The anode effect is detected and positioned in a way that an inertia measuring unit is installed on the anode guide rod to detect vibration of the anode guide rod. Thedetecting method comprises two links including offline modeling and online detecting and the method of machine learning is adopted to detect the anode effect; an anode effect detection model is established based on offline learning of vibration data, and the established anode effect detection model is used for online detection of the anode effect; and whether the anode effect is generated can be identified, the severity of the anode effect can be identified, and an early alarm of anode effect to be generated can be issued.

Description

technical field [0001] The invention belongs to the technical field of production intelligence in electrolytic aluminum plants, and relates to an anode effect detection method based on the vibration of an anode guide rod. Background technique [0002] The anode effect is a common failure phenomenon in the aluminum electrolysis process, and its occurrence has a great impact on the entire electrolysis system. The occurrence of the anode effect has affected various technical indicators of the electrolysis series and reduced the output and quality of aluminum. During the operation of the aluminum electrolytic cell, various physical quantities related to the operating state change with time, such as various electrical signals, alumina concentration, electrolytic cell temperature, etc. These signals often contain information that is useful for status identification and diagnosis of electrolyzer equipment. Effectively analyzing and processing these information, and establishing t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C25C3/06
CPCC25C3/06
Inventor 刘志元
Owner SHENYANG ALUMINIUM MAGNESIUM INSTITUTE
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