Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Multi-sensor Data Real-time Monitoring and Management System Based on Onboard UAV for Ocean Observation

Authors
Xuan Li, Yong Han, Fang-Jie Yu, Ge Chen
Corresponding Author
Xuan Li
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.33How to use a DOI?
Keywords
UAV; ocean observation; monitoring and management system; multi-sensor; real-time
Abstract
It is of great significance for human beings to explore and develop marine resources. Nowadays, Unmanned Aerial Vehicle (UVA) is reaching a point where it can be used in marine environment research with multi-sensors. Abundant marine data acquisition, transmission, management in real-time are preconditions in the exploring and developing of marine resources with UAVs. In meet to these emerging demands, this paper presents a new data real-time monitoring and management system, multi-sensor data real-time monitoring and management system based on UAV for ocean observation, for marine environment monitoring. In this system, an UAV, equipped with four kinds of sensors, captures marine information in a flight mission, data are then transmitted toward the ground station for processing and displaying in real-time. In this paper, we discuss the system hardware architecture firstly, then a genetic architecture of system software is presented, details regarding several techniques used in dealing with sensor data are outlined. In addition, process of data playback in data management is analyzed. Finally, numerical flight experiments are implemented, and the results have shown feasibility of the software system.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Xuan Li
AU  - Yong Han
AU  - Fang-Jie Yu
AU  - Ge Chen
PY  - 2017/01
DA  - 2017/01
TI  - Multi-sensor Data Real-time Monitoring and Management System Based on Onboard UAV for Ocean Observation
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 174
EP  - 181
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.33
DO  - https://doi.org/10.2991/icmmita-16.2016.33
ID  - Li2017/01
ER  -