Intelligent sensing and analysis of the working conditions of carbon kneading machines

Zifeng Wang; Rentao Zhao; Hongwei Jiang; Zeqi Kang; Taotao Wang

doi:10.1117/12.2680756

23 May 2023 Intelligent sensing and analysis of the working conditions of carbon kneading machines

Zifeng Wang, Rentao Zhao, Hongwei Jiang, Zeqi Kang, Taotao Wang

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453I (2023) https://doi.org/10.1117/12.2680756
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

China's production of carbon for aluminum electrolysis has ranked first in the world for 19 consecutive years and has become the world's largest exporter of carbon for aluminum electrolysis production. In the process of carbon mixing and kneading, the uniformity of paste is an important factor affecting the quality of carbon anodes. In this paper, an intelligent sensing system is designed for modelling and analysis of the paste uniformity index. The system collects the three-phase voltage/current, stirrer speed and stirrer rotation angle of the carbon kneader in real time, calculates the active power, stirrer torque and stirrer rotation angle according to a specific cycle, and establishes a soft measurement model of the relationship between stirrer torque and time and rotation angle. During the kneading process, 72 torque time series are generated at 5° intervals, and the torque variation pattern at the same angle is analyzed in relation to the homogeneity of the paste, thus forming a criterion for the end point of the kneading process. A comparison with actual data from the field shows that the system is stable and reliable and can accurately determine the end point of kneading, avoiding manual errors in judgement and improving the level of automation and quality of kneading, while improving the performance of the carbon anode and achieving energy saving and consumption reduction.

Citation Download Citation

Zifeng Wang, Rentao Zhao, Hongwei Jiang, Zeqi Kang, and Taotao Wang "Intelligent sensing and analysis of the working conditions of carbon kneading machines", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453I (23 May 2023); https://doi.org/10.1117/12.2680756

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KEYWORDS

Carbon

Anodes

Human-machine interfaces

Signal filtering

Tunable filters

Intelligence systems

Sensing systems

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