基于海洋环境大数据驱动的无人船艇航线规划系统

Unmanned vessel route planning system driven by large data of marine environment

随着无人驾驶技术的发展,无人艇在海上军事及民用领域得到快速发展。基于大数据的智能路线规划是无人艇驾驶技术的关键,通过各类RFID,GPS,AIS设备获取整个海域各类船舶的动态静态信息,同时通过智能算法构建海量数据的决策平台。本文研究基于海洋环境大数据驱动的无人船艇航线规矩聚类算法,最后进行了仿真。

With the development of unmanned aerial vehicle technology, unmanned aerial vehicle(UAV) has developed rapidly in the military and civil fields at sea. Intelligent route planning based on large data is the key of UAV driving technology. It obtains dynamic and static information of all kinds of ships in the whole sea area through various kinds of RFID, GPS, AIS and other equipment. At the same time, it constructs a decision-making platform of massive data through intelligent algorithm. In this paper, a routing rule clustering algorithm for unmanned ship based on large data of ocean environment is studied. Finally, simulation is carried out.