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Design of Gas Monitoring Terminal Based on Quadrotor UAV.
Yang Liu1, Lei Chen1, Shurui Fan1
1Tianjin Key Laboratory of Electronic Materials Devices, School of Electronics and Information Engineering, Hebei University of Technology, Tianjin 300401, China.
This study presents a novel quadrotor UAV-based gas monitoring terminal for air pollution detection. The system features a specialized cavity for airflow stability and advanced sensor calibration, ensuring accurate atmospheric gas concentration measurements.
Area of Science:
- Environmental Science
- Aerospace Engineering
- Sensor Technology
Background:
- Increasing global air pollution necessitates advanced monitoring solutions.
- Existing methods face challenges with atmospheric interference and accuracy.
- Quadrotor Unmanned Aerial Vehicles (UAVs) offer potential for mobile atmospheric monitoring.
Purpose of the Study:
- To design and validate a gas monitoring terminal integrated with a quadrotor UAV.
- To mitigate airflow disturbances affecting UAV-based gas sensing.
- To enhance the accuracy and reliability of atmospheric gas concentration measurements.
Main Methods:
- Development of a quadrotor UAV platform with integrated gas sensors.
- Design of a pump-suction series cavity to reduce airflow disturbance, validated by Computational Fluid Dynamics (CFD).
- Implementation of linear regression for sensor calibration and polynomial piecewise regression for temperature compensation.
Main Results:
- CFD simulations confirmed the anti-interference capability of the designed cavity.
- Sensor calibration achieved a high goodness of fit (R² = 0.9981), improving concentration accuracy.
- Temperature compensation significantly enhanced the overall terminal accuracy.
- Successful detection of vehicle exhaust in real-world conditions, demonstrating reliability.
Conclusions:
- The developed UAV-based gas monitoring terminal is reliable and accurate for atmospheric monitoring.
- The integrated design effectively addresses challenges of airflow disturbance and sensor inaccuracies.
- This technology offers a promising solution for mobile air quality assessment and pollution source identification.
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