Intelligent monitoring and management system for connection state of high-voltage cable accessory based on big data
By constructing a multi-source heterogeneous sensor network and a big data fusion analysis platform, the problems of blind spots and data silos in the monitoring of high-voltage cable accessory connection status have been solved, achieving full coverage, high-precision monitoring and proactive control of cable accessory connection status, and improving the level of intelligent power grid operation and maintenance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN KENENG ELECTRIC CO LTD
- Filing Date
- 2026-05-06
- Publication Date
- 2026-07-17
AI Technical Summary
The existing monitoring of high-voltage cable accessory connection status has blind spots, lacks effective fusion and analysis of multi-source heterogeneous data, and causes decision-making conflicts among independent subsystems, which makes it impossible to achieve systematic intelligent control and affects the level of intelligent operation and maintenance of the power grid.
A big data-based intelligent monitoring and control system for the connection status of high-voltage cable accessories is constructed. It adopts a multi-source heterogeneous sensor network, edge computing nodes, and a big data fusion analysis platform. Data fusion analysis is performed through a deep belief network, and a closed-loop decision-making and execution mechanism is established to achieve comprehensive perception, accurate assessment, and proactive control of the connection status of cable accessories.
It achieves full coverage and high-precision monitoring of the connection status of high-voltage cable accessories, solves the problems of monitoring blind spots and data silos, improves the operational reliability and intelligent operation and maintenance level of cable networks, and can respond to abnormal status of cable accessories in a timely manner and implement precise control measures.
Smart Images
Figure CN122415071A_ABST