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基于人工智能的金属矿山供电系统谐波治理研究OA

Research on Harmonic Control of Power Supply System for Metal Mines Based on Artificial Intelligence

中文摘要英文摘要

文章剖析谐波对设备损耗、保护装置误动作等危害,构建基于神经网络、模糊小波变换的AI检测模型,设计智能有源滤波器与混合滤波系统,结合数字孪生与LSTM实现谐波预测,有助于提升谐波治理精度与动态响应能力,以期为矿山供电系统智能化升级提供参考.

This article examines the hazards of harmonics,including equipment wear and protection device malfunctions.It proposes an AI detection model based on neural networks and fuzzy wavelet transform,designs intelligent active filters and hybrid filtering systems,and integrates digital twin technology and LSTM for harmonic prediction.These measures aim to enhance the precision and dynamic response of harmonic management,providing a reference for the intelligent upgrade of mine power supply systems.

黄能洋

广西华磊新材料有限公司,广西 百色 531499

矿业与冶金

人工智能金属矿山谐波治理

artificial intelligencemetal mineharmonic control

《世界有色金属》 2026 (7)

28-30,3

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