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Development of Fixed-Wing UAV 3D Coverage Paths for Urban Air Quality Profiling.

Qianyu Zhou1, Li-Yu Lo1, Bailun Jiang1

  • 1Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.

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Summary
This summary is machine-generated.

This study introduces a new 3D path planning method for fixed-wing unmanned aerial vehicles (UAVs) to improve air quality monitoring. The developed system enhances spatial coverage and temporal efficiency for environmental data collection.

Keywords:
air qualitycoverage path planningfixed-wing UAVmonitoring

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Area of Science:

  • Environmental Science
  • Robotics and Control Systems
  • Aerospace Engineering

Background:

  • Deteriorating air quality from industrial activity necessitates effective long-term monitoring.
  • Current unmanned aerial vehicle (UAV) air monitoring is limited by payload, endurance, and range, often using rotary-wing designs.
  • Fixed-wing UAVs offer a potential alternative for enhanced air quality monitoring capabilities.

Purpose of the Study:

  • To develop an optimized 3D coverage path planning algorithm for fixed-wing UAVs.
  • To improve the efficiency and spatial coverage of air quality data acquisition.
  • To create an accessible tool integrating path planning with ground control software and flight controllers.

Main Methods:

  • Development of a 3D coverage path planning algorithm utilizing Boustrophedon and Dubins paths.
  • Integration of the algorithm with commercial ground control software.
  • Design of a user interface for generalized tool module accessibility.

Main Results:

  • Simulations demonstrated the proposed method's effectiveness in air quality monitoring.
  • The new path planning approach significantly outperformed existing methods in coverage rate.
  • Achieved a sampling density of 50 meters for comprehensive air particle indicator monitoring.

Conclusions:

  • The developed 3D coverage path planning method enhances UAV-based air quality monitoring.
  • Fixed-wing UAVs integrated with the proposed system offer superior spatial coverage and temporal efficiency.
  • The generalized tool provides a practical solution for environmental monitoring applications.