一种接地引下线连接状态实时分析监测方法
By acquiring multi-dimensional data in real time, calculating the time-series pulse characteristic value and outlier coupling correction factor, and dynamically adjusting the clustering model parameters, the problem of high false alarm rate in grounding down conductor connection status monitoring is solved, and reliable real-time early warning and early fault identification of grounding down conductor connection status are realized.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGYUAN POWER SUPPLY COMPANY OF STATE GRID SICHUAN ELECTRIC POWER
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for monitoring the connection status of grounding down conductors under complex outdoor electromagnetic and meteorological interference are prone to misclustering large-scale transient environmental noise into false fault clusters, resulting in a high false alarm rate and unreliable fault identification.
By acquiring multi-dimensional data in real time, constructing real-time feature vectors, calculating time-series pulse feature values and outlier coupling correction factors, dynamically adjusting clustering model parameters, and combining global noise interference intensity and anomaly probability assessment, real-time early warning of grounding down conductor connection status can be achieved.
It can effectively distinguish between random environmental noise caused by lightning and other factors and real physical degradation, suppress false alarms, maintain the sensitivity to identify very early and slight degradation, and provide a reliable basis for cascade condition-based maintenance and emergency repair decisions.
Smart Images
Figure CN122412995A_ABST