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Review of the Application of UAV Edge Computing in Fire Rescue
Hongqiang Sun1, Rui Xu2, Jianguo Luo1
1School of Emergency Equipment, North China Institute of Science and Technology, Langfang 065201, China.
Sensors (Basel, Switzerland)
|September 19, 2025
Summary
Unmanned aerial vehicles (UAVs) with edge computing offer timely data processing for fire rescue. This technology enhances mobility and adaptability in critical emergency scenarios.
Area of Science:
- Robotics and Autonomous Systems
- Computer Science
- Emergency Management
Background:
- Unmanned aerial vehicles (UAVs) are crucial for fire emergency rescue.
- Sensor data volume in fire scenarios challenges traditional computing.
- UAV edge computing is a key area for addressing these data challenges.
Purpose of the Study:
- To review UAV applications in diverse fire rescue scenarios.
- To analyze the integration of sensor data using UAV edge computing.
- To identify challenges and advantages of UAVs in fire environments.
Main Methods:
- Analysis of fire-rescue scenarios (forest, high-rise, chemical, mine).
- Discussion of current UAV edge computing technology and its integration with sensor data.
- Evaluation of UAV operational advantages, disadvantages, and challenges (e.g., GNSS-denied environments).
Main Results:
- UAV edge computing addresses data preprocessing and feature analysis needs.
- Distributed UAV edge computing offers superior mobility and timeliness over cloud/centralized systems.
- Specific fire scenarios highlight the practical utility and challenges of UAV deployment.
Conclusions:
- UAV edge computing is highly adaptable for urgent fire emergency rescue.
- Distributed sensor-data processing via UAVs provides critical advantages in timeliness and mobility.
- This review supports future research and development in UAV edge technology for emergency response.
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