Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

Design on Dropsonde Meteorological Detection System Based on UAV

Authors
Hong Wang, Xuhui Chen, Xiaorong Zhou
Corresponding Author
Hong Wang
Available Online June 2018.
DOI
10.2991/eame-18.2018.60How to use a DOI?
Keywords
UAV; meteorological; sonde
Abstract

Aims to the defect of using pilot balloon theodolite to track and detect the rising balloon and get meteorological data, the project is put forward that using intermediate, long-range, long-endurance unmanned aerial vehicle (UAV) as a platform, mounting dropsonde to implement meteorological detection on unfamiliar terrain. The obtained real-time meteorological data is sent back to the ground control center by UAV’s data link and being processed and analyzed by the computer software system, and the remote obtaining of meteorological information in harsh environment and unfamiliar territory is realized.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
Series
Advances in Engineering Research
Publication Date
June 2018
ISBN
10.2991/eame-18.2018.60
ISSN
2352-5401
DOI
10.2991/eame-18.2018.60How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hong Wang
AU  - Xuhui Chen
AU  - Xiaorong Zhou
PY  - 2018/06
DA  - 2018/06
TI  - Design on Dropsonde Meteorological Detection System Based on UAV
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 286
EP  - 289
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.60
DO  - 10.2991/eame-18.2018.60
ID  - Wang2018/06
ER  -