一种电力通道树障预警方法、装置、终端设备及存储介质
By performing feature matching and generating early warning point sequences from point cloud data of power transmission channels, the problem of predicting tree obstacle risk points in existing technologies has been solved, enabling continuous assessment of tree growth trends and improving the operational safety and early warning reliability of power transmission channels.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
- Filing Date
- 2026-04-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to predict the probability of tree-related risks evolving into actual malfunctions in the future, thus impacting the safety of power transmission channels during operation.
By acquiring point cloud data of power channels, current tree obstacle warning points are screened and their spatial appearance features are extracted. Similarity matching is performed by combining the features of historical tree obstacle warning points to generate a warning point sequence. The Hungarian algorithm is then used for optimal assignment, predicting the remaining time for trees to grow to the danger distance, and issuing warning reports.
It enables continuous assessment of tree growth trends, improves the foresight and operational safety of power corridor tree obstacle risk assessment, reduces computational overhead, and enhances the reliability and real-time nature of early warnings.
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Figure CN122024175B_ABST
Abstract
Citation Information
Patent Citations
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