Intelligent substation inspection system based on unmanned aerial vehicle technology and image analysis technology
Through point cloud processing and image analysis technology, the substation is divided into multiple inspection areas, optimized the flight path of the drone, solved the problem of high power consumption during high-altitude inspections, and improved the inspection efficiency and time of stagnation.
Patent Information
- Application Number
- CN202411826215.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-12
- Publication Date
- 2025-01-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing drone inspection path planning method fails to effectively consider the difference in the height of power equipment in different areas of the substation, resulting in large electricity consumption and shortening of the air stagnation time during drones during high altitude inspection, affecting the inspection efficiency.
Using point cloud processing and image analysis technology, the substation is divided into multiple patrol areas, and the flight paths are planned separately to make the altitude of power equipment in each area as close as possible, thereby reducing the flight altitude and extending the drone's stagnation time.
Through area division and flight path optimization, the drone's stagnation time is improved, the number of battery replacements is reduced, the efficiency of substation patrols is improved, and the difficulty of flight path planning is reduced.
Smart Images

Figure CN119315435A_ABST
Abstract
Citation Information
Patent Citations
Material pile stocktaking method and system
CN113298820A
Three-dimensional modeling method, device and equipment for transformer substation and storage medium
CN114675668A
Construction engineering construction monitoring system
CN118842880A
Cited By
Substation three-dimensional inspection system based on image analysis
CN120297533A
A substation three-dimensional inspection system based on image analysis
CN120297533B