Disaster monitoring and early warning system, device and method for distribution network based on precise positioning of big dipper
By employing a three-tiered collaborative architecture and a multi-source data fusion correction algorithm, combined with BeiDou precise positioning and edge computing, the problems of low accuracy, poor real-time performance, and weak environmental adaptability in the power distribution network disaster monitoring system have been solved, achieving efficient and accurate disaster early warning and prevention.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TACHENG POWER SUPPLY CO OF STATE GRID XINJIANG ELECTRIC POWER CO LTD
- Filing Date
- 2026-03-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing power distribution network disaster monitoring systems suffer from low positioning accuracy, poor real-time performance, weak environmental adaptability, lack of multi-source data fusion processing capabilities, fixed warning thresholds without dynamic adjustment, and the inability of the system and devices to form a closed loop, resulting in insufficient accuracy and real-time performance in disaster monitoring.
A three-tiered collaborative architecture is adopted, combining satellite remote sensing monitoring, BeiDou ground-based augmentation monitoring, and terminal monitoring. Data accuracy is verified through multi-source data fusion correction algorithms, edge computing units are integrated for data processing, early warning thresholds are dynamically adjusted, and early warning information is pushed through multiple channels, forming a closed-loop monitoring and early warning system.
It has achieved high-precision, real-time monitoring of power distribution network disasters, improved monitoring coverage and data accuracy, reduced operation and maintenance costs, enhanced the pertinence and effectiveness of early warnings, and reduced the probability of failures.
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