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Research on Autonomous and Collaborative Deployment of Massive Mobile Base Stations in High-Rise Building Fire Field
Ke Li1, Chen Huang1, Jiaping Liang1
1Department of Electronic Engineering, Shantou University, Shantou 515041, China.
Sensors (Basel, Switzerland)
|September 28, 2023
Summary
This study introduces an autonomous system using a UAV swarm for optimal mobile base station deployment in high-rise building fires. It significantly improves firefighter positioning accuracy in complex environments from over 10m to under 1m.
Area of Science:
- Robotics and Autonomous Systems
- Search and Rescue Technology
- Wireless Communication Networks
Background:
- High-rise building fires present significant risks to life and property.
- Effective rescue operations are hampered by unreliable positioning systems.
- Deploying mobile base stations in unknown fire environments is a critical, under-addressed challenge.
Purpose of the Study:
- To develop an autonomous system for optimal mobile base station deployment in high-rise building fires using a Unmanned Aerial Vehicle (UAV) swarm.
- To address the Non-Line-of-Sight (NLOS) positioning problem in complex, unknown environments.
- To enhance search and rescue capabilities through improved communication and positioning.
Main Methods:
- Proposed a novel problem formulation for autonomous base station deployment.
- Developed an optimization algorithm to convert NLOS positioning problems into Line-of-Sight (LOS) problems.
- Designed a mathematically precise control law for deployment and collision avoidance.
Main Results:
- Achieved coverage and deployment of mobile base stations in complex fire environments.
- Ensured at least three LOS base stations are available at any point within the fire field.
- Significantly improved positioning accuracy for simulated firefighters.
Conclusions:
- The proposed UAV-based system effectively solves the autonomous deployment problem in challenging fire scenarios.
- The method transforms NLOS into LOS positioning, enhancing reliability.
- Demonstrated a substantial reduction in positioning error, from over 10m to under 1m, crucial for rescue operations.
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