Medium voltage switchgear based on data fusion and edge intelligence and monitoring method and system
By combining multi-dimensional sensor arrays and edge computing with machine learning models, the problems of insufficient status perception and delayed fault response in medium-voltage switchgear have been solved, realizing full life cycle management, improving operation and maintenance efficiency and monitoring accuracy, and supporting smart grid access.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING SOJO ELECTRIC CO LTD
- Filing Date
- 2026-03-11
- Publication Date
- 2026-06-12
AI Technical Summary
Traditional medium-voltage switchgear suffers from limited status perception, delayed fault response, low operation and maintenance efficiency, and insufficient communication capabilities, making it impossible to achieve full lifecycle management.
It employs a multi-dimensional sensor array for state perception, combines edge computing and machine learning models for fault identification and lifespan prediction, and establishes an operation and maintenance interactive communication layer to achieve human-machine interaction and bidirectional data links, supporting multiple communication protocols.
It enables comprehensive monitoring of medium-voltage switchgear, accurate diagnosis of latent faults, proactive maintenance, improved monitoring coverage and fault identification accuracy, reduced unplanned power outage time, and supports integration with smart grid management systems.
Smart Images
Figure CN122203591A_ABST