A power distribution network fault diagnosis system and method
By combining multimodal sensing terminals and cloud-edge collaborative analysis platforms, comprehensive perception and accurate diagnosis of the status of distribution network junction boxes are achieved, solving the problems of single monitoring dimensions and low level of intelligent diagnosis in existing technologies, and improving the accuracy of fault diagnosis and predictive maintenance capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, online monitoring technologies for distribution network junction boxes mostly focus on the measurement of single physical quantities and threshold alarms, lacking the fusion analysis and intelligent reasoning of multi-source information. This results in a high false alarm rate, making it impossible to achieve early warning of faults, type differentiation, and root cause tracing, and the system integration and adaptability are poor.
Multimodal intelligent sensing terminals are used to synchronously collect data on insulation status, conductive circuit status, sealing and environmental status, and mechanical status. Preprocessing and lightweight diagnostics are performed by edge computing units, and multi-dimensional feature vector analysis and prediction models are performed by cloud-edge collaborative analysis platforms to realize fault type and risk classification. Data is uploaded and strategies are adjusted through communication gateways.
It enables comprehensive perception, accurate diagnosis, and trend prediction of the status of distribution network junction boxes, improves the accuracy of fault diagnosis and decision support for predictive maintenance, breaks the isolation between edge and cloud analysis, and enhances the system's intelligence and adaptability.
Smart Images
Figure CN122410164A_ABST