基于多源数据融合的高压电缆环流核心特征挖掘与智能监测技术研究OA
Research on Core Feature Mining and Intelligent Monitoring Technology for High-Voltage Cable Circulating Current Based on Multi-Source Data Fusion
高压电缆金属护套环流是判断电缆接地系统运行健康程度的核心指标,但其受敷设布局、接地形式、多回路电磁耦合、现场环境噪声等多重因素耦合干扰,传统单一固定阈值监测手段存在故障误判率高、早期绝缘劣化信号识别能力弱、诊断维度单一等工程痛点.为此,本文提出一种融合多源运行数据、依托粗糙集理论完成冗余参数约简的护套环流智能监测方法,构建计及五类十项影响因素的交叉互联换位段精细化等值电路模型,搭建多维度抗干扰状态表征体系,设计边缘终端+云端分析双架构智能监测系统,并结合12条在运电缆线路现场环流测试、220 kV电缆终端电热联合检测完成方法验证.实测结果表明,该方法可有效剥离负荷波动、敷设不对称、外部电磁等非故障干扰,精准捕获护套绝缘早期劣化微弱特征,大幅提升故障诊断精度与系统抗干扰性能,推动电缆环流监测由单纯数据采集向智能化分析、运维模式由事后故障抢修向事前风险预警转型,为高压电缆接地系统状态检修与全周期智能运检提供完善的理论依据与工程实践方案.
The circulating current of the metallic sheath of high-voltage cables serves as a core indicator for evaluating the operational health of cable grounding systems.However,it is subject to coupled interferences from multiple factors including cable layout,grounding type,multi-circuit electromagnetic coupling and on-site environmental noise.Conventional monitoring methods relying on a single fixed threshold face prominent engineering drawbacks,such as high fault misjudgment rate,poor capacity to identify weak signals of early insulation deterioration,and limited diagnostic dimensions.To address these problems,this paper proposes an intelligent monitoring method for sheath circulating current that integrates multi-source operation data and adopts rough set theory to reduce redundant parameters;establishes a refined equivalent circuit model for cross-bonding transposition sections covering five categories and ten influencing factors;construct a multi-dimensional anti-interference state characterization system,and designs a dual-architecture intelligent monitoring system integrating edge terminals and cloud analysis.Meanwhile,the effectiveness of the proposed method is verified through field circulating current tests on 12 in-service cable lines and electrothermal combined detection of 220 kV cable terminals.Field measurement results demonstrate that the proposed method can effectively eliminate non-fault interferences including load fluctuation,asymmetric laying and external electromagnetic disturbance,accurately capture weak characteristic signals of early sheath insulation deterioration,and significantly improve fault diagnosis accuracy and system anti-interference capability.It facilitates the transformation of cable circulating current monitoring from simple data collection to intelligent analysis,and shifts the maintenance mode from post-fault emergency repair to pre-fault risk early warning.This research provides a complete theoretical basis and engineering practice scheme for condition-based maintenance and full-cycle intelligent operation&maintenance of high-voltage cable grounding systems.
陈曦;冯超
国网湖北省电力有限公司武汉供电公司输电电缆运检分公司,湖北 武汉 430000国网湖北省电力有限公司武汉供电公司输电电缆运检分公司,湖北 武汉 430000
信息技术与安全科学
高压电缆金属护套环流多源数据融合粗糙集特征挖掘电热联合检测
high-voltage cablemetallic sheath circulating currentmulti-source data fusionrough setfeature miningelectrothermal combined detection
《湖北电力》 2025 (5)
60-69,10
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