Multi-sensor Data Real-time Monitoring and Management System Based on Onboard UAV for Ocean Observation
Xuan Li, Yong Han, Fang-Jie Yu, Ge Chen
Available Online January 2017.
- https://doi.org/10.2991/icmmita-16.2016.33How to use a DOI?
- UAV; ocean observation; monitoring and management system; multi-sensor; real-time
- 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.
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 -