基于森林消防无人机的火情识别系统
By integrating a thermal infrared image acquisition and analysis module into a forest fire fighting drone, and combining forest canopy density calculation and radiation attenuation inverse compensation technology, the heat source of understory heating in the forest canopy ...
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHAANXI GUOFEI LINGYI TECH CO LTD
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for forest fire fighting drones suffer from insufficient accuracy in fire identification due to the obstruction of forest canopy. This is especially true in the early smoldering stage when the heat source temperature is low and the heat release intensity is limited. In thermal infrared images, the heat source features are submerged in the background thermal radiation of the forest area and the noise of the canopy structure, making effective identification impossible.
A fire identification system based on forest fire fighting drones was adopted. Through thermal infrared image acquisition module, thermal anomaly candidate area extraction module, canopy gap exposure event reconstruction module, and forest fire identification module, combined with forest canopy density solver, canopy radiation attenuation inverse compensation and time-frequency decomposition technology, the system reconstructs canopy gap exposure events and verifies the warming trend to identify the forest underheating heat source.
It effectively identifies heat sources causing understory warming, reduces the false alarm rate of fire detection, improves the accuracy of fire detection, and reduces the impact of canopy radiation attenuation distortion and dynamic flickering interference from branches and leaves.
Smart Images
Figure CN122116293B_ABST