一种GIS绝缘子局部放电电荷在线检测方法及系统

By preparing an electric field sensing probe and a neural network model using a GIS simulation model, non-invasive and non-contact online detection of surface charge density and distribution range of GIS insulators was achieved, solving the problem that existing technologies cannot detect online and providing high-precision charge measurement results.

CN122109648BActive Publication Date: 2026-07-17ELECTRIC POWER RES INST OF EAST INNER MONGOLIA ELECTRIC POWER +2

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ELECTRIC POWER RES INST OF EAST INNER MONGOLIA ELECTRIC POWER
Filing Date
2026-04-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing surface charge measurement technologies cannot perform large-scale online testing on the surface of operating GIS insulators, and neither electrostatic probe methods nor pulse acoustic electrometry can be used in high-voltage enclosed environments.

Method used

By constructing a GIS simulation model, preparing electric field sensing probes, collecting electric field signals using an array of electric field sensing probes, and combining this with a neural network model to perform charge inversion, non-invasive and non-contact online detection can be achieved.

Benefits of technology

It enables high-precision and reliable online measurement of charge density and distribution range without damaging the original GIS structure, adapts to complex electromagnetic environments, and enhances the engineering practicality of the method.

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Abstract

本发明公开一种GIS绝缘子局部放电电荷在线检测方法及系统,涉及电荷检测技术领域,包括:根据GIS仿真模型,模拟局部放电过程中电荷产生的电场分布,确定所需电场传感探头的性能指标,制备电场传感探头;根据环氧树脂模型,获取不同电压脉冲下的电荷密度、电荷分布范围和由电场传感探头采集的电场信号,构建测试数据集;根据GIS仿真模型,获取不同电荷密度和不同电荷分布半径下的电场信号,构建训练数据集;根据训练数据集训练神经网络模型,根据测试数据集进行修正;利用设在GIS绝缘子外壁上的电场传感探头阵列采集局放电场信号,采用神经网络得到绝缘子表面的电荷密度和电荷分布范围。实现非介入、非接触在线测量。
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