Ecological Floating Island Multi-specification and Multi-sample Delivery Drone

Authors

  • Jiachao Wen
  • Zexuan Liang
  • Haipeng Yan
  • Jimeng Zheng
  • Jiarui Guo
  • Yaxin Wang
  • Yale Duan

DOI:

https://doi.org/10.54097/p1d96r69

Keywords:

Environmental Pollution, Unmanned Aerial Vehicle, Self-locking Plug-in Mechanism, Adaptability

Abstract

The exacerbation of water pollution due to industrial progress has highlighted issues of inadequate capacity, limited environmental adaptability, and subpar operational efficiency in monitoring and transportation within the intricate environment of ecological floating islands. To address these challenges, a design method for a multifunctional unmanned aerial vehicle system is proposed, emphasizing modularity and self-adaptation. The system features a six-rotor layout, a combination of a lightweight fuselage and a low power consumption power system to achieve high speed and extended endurance. It enables dynamic and precise grabbing and releasing of various sample boxes through a self-locking plug-in mechanism integrated with sensing and response capabilities at the base. Furthermore, stability in adverse weather conditions, such as strong winds, is enhanced through aerodynamic optimization and a multi-sensor fusion algorithm. Practical application demonstrates the system's effectiveness in meeting the requirements of normalized monitoring and swift sample transfer on ecological floating islands. It offers efficient technical solutions for ecological restoration and scientific research, showcasing broad environmental adaptability and potential for widespread adoption.

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References

[1] Kang J, Shan J, Alkomy H. Control framework for a UAV slung-payload transportation system[J]. IEEE Control Systems Letters, 2023, 7: 2473-2478.

[2] Nigro M, Pierri F, Caccavale F. Control of an omnidirectional uav for transportation and manipulation tasks[J]. Applied Sciences, 2021, 11(22): 10991.

[3] Soni S, Chandra P, Sharma P C, et al. Medical kit delivery using Drone: Critical medical infrastructure solution for emergency medical situation[J]. International Journal of Disaster Risk Reduction, 2024, 108: 104502.

[4] Wu K, Lu S, Chen H, et al. An energy-efficient logistic drone routing method considering dynamic drone speed and payload[J]. Sustainability, 2024, 16(12): 4995.

[5] Aggarwal S, Gupta P, Mahajan N, et al. Implementation of drone based delivery of medical supplies in North-East India: experiences, challenges and adopted strategies[J]. Frontiers in Public Health, 2023, 11: 1128886.

[6] Jung H, Kim J. Drone scheduling model for delivering small parcels to remote islands considering wind direction and speed [J]. Computers & Industrial Engineering, 2022, 163: 107784.

[7] Liu B, Ni W, Liu R P, et al. Optimal routing of unmanned aerial vehicle for joint goods delivery and in-situ sensing[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 24(3): 3594-3599.

[8] Ceviz O, Sadioglu P, Sen S , et al.A novel federated learning-based IDS for enhancing UAVs privacy and security [J]. Internet of Things, 2025,31101592-101592.

[9] Jupriyanto, Bura O R, Apriyani W S , et al.UAV application for oil palm harvest prediction[J].Journal of Physics: Conference Series, 2018,1130(1):012001-012001.

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Published

26-06-2025

Issue

Section

Articles

How to Cite

Wen , J., Liang, Z., Yan , H., Zheng, J., Guo, J. ., Wang, Y., & Duan, Y. (2025). Ecological Floating Island Multi-specification and Multi-sample Delivery Drone. Frontiers in Computing and Intelligent Systems, 12(3), 21-28. https://doi.org/10.54097/p1d96r69