Differential Magnetic Field Array Detection System for the Electrode Tip Position in Submerged Arc Furnaces

针对矿热炉电极端部位置检测精度低及开发过程中的复杂性问题,本文介绍了一种新型差动式磁场阵列检测系统。该系统通过布置磁场传感阵列,利用差动信号处理技术,有效消除了环境干扰和系统噪声,提高了电极端部位置检测的精度和可靠性。研究首先构建了矿热炉磁场检测模型,并基于毕奥–萨伐尔定律,分析了矿热炉的炉外磁场分布。仿真验证了差动式磁场阵列检测方法的有效性。测试结果表明,该系统能够在恶劣的工业环境中准确检测电极端部位置,为矿热炉的高效运行提供了有力支持。本研究为矿热炉的工业参数检测和控制提供了新的思路和技术支持。In response to the low detection accuracy of the electrode tip position and the complexity in the development process for submerged arc furnaces, this paper introduces a novel differential magnetic field array detection system. The system, by deploying a magnetic sensor array and utilizing differential signal processing technology, effectively eliminates environmental interference and system noise, enhancing the accuracy and reliability of electrode tip position detection. The study initially constructs a magnetic field detection model for the submerged arc furnace and analyzes the external magnetic field distribution based on the Biot-Savart law. The effectiveness of the differential magnetic field array detection method is validated by simulations. Test results indicate that the system can accurately detect the electrode tip position in harsh industrial environments, providing strong support for the efficient operation of submerged arc furnaces. This research offers new ideas and technical support for the detection and control of industrial parameters in submerged arc furnaces.

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Publication Details

Journal
Embedded Technology and Intelligent Systems
Published
2025-01-01
DOI
https://doi.org/10.12677/etis.2025.21001
Primary Topic
Welding Techniques and Residual Stresses
Type
article
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article

Differential Magnetic Field Array Detection System for the Electrode Tip Position in Submerged Arc Furnaces

晓奎 侯
Embedded Technology and Intelligent Systems
Welding Techniques and Residual Stresses
article

Differential Magnetic Field Array Detection System for the Electrode Tip Position in Submerged Arc Furnaces

晓奎 侯
article en

Abstract

针对矿热炉电极端部位置检测精度低及开发过程中的复杂性问题,本文介绍了一种新型差动式磁场阵列检测系统。该系统通过布置磁场传感阵列,利用差动信号处理技术,有效消除了环境干扰和系统噪声,提高了电极端部位置检测的精度和可靠性。研究首先构建了矿热炉磁场检测模型,并基于毕奥–萨伐尔定律,分析了矿热炉的炉外磁场分布。仿真验证了差动式磁场阵列检测方法的有效性。测试结果表明,该系统能够在恶劣的工业环境中准确检测电极端部位置,为矿热炉的高效运行提供了有力支持。本研究为矿热炉的工业参数检测和控制提供了新的思路和技术支持。In response to the low detection accuracy of the electrode tip position and the complexity in the development process for submerged arc furnaces, this paper introduces a novel differential magnetic field array detection system. The system, by deploying a magnetic sensor array and utilizing differential signal processing technology, effectively eliminates environmental interference and system noise, enhancing the accuracy and reliability of electrode tip position detection. The study initially constructs a magnetic field detection model for the submerged arc furnace and analyzes the external magnetic field distribution based on the Biot-Savart law. The effectiveness of the differential magnetic field array detection method is validated by simulations. Test results indicate that the system can accurately detect the electrode tip position in harsh industrial environments, providing strong support for the efficient operation of submerged arc furnaces. This research offers new ideas and technical support for the detection and control of industrial parameters in submerged arc furnaces.

Embedded Technology and Intelligent SystemsVol. 02(01)
Openalex Percentile: Top 88%
Welding Techniques and Residual Stresses
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Differential Magnetic Field Array Detection System for the Electrode Tip Position in Submerged Arc Furnaces — 晓奎 侯 · Embedded Technology and Intelligent Systems (2025) | TGRS Research Map | TGRS