TSEA:极地科考在线系统中海量走航数据的剔除算法

TSEA:A DATA ELIMINATION ALGORITHM OF POLAR EXPEDITION ROUTE IN POLAR EXPEDITION ONLINE SYSTEM

在对环境极端恶劣的两极区域进行科考的过程中,科考船状态的实时监控及反馈是推动极地科考事业的重要保障。在极地科考过程中,由于走航数据采集频率高,监测手段多样化,催生了具有多源、多类、多态等特性的海量数据,因此如何实时在线快速展示极地科考走航数据是21世纪海洋事业面临的巨大挑战。针对极地监控业务化平台中的快速可视化关键问题,提出了TSEA(Time-Space elimination algorithm)数据剔除算法,通过对数据进行冗余剔除及压缩等操作,使得在对数据进行快速展示时更加快速与高效。TSEA算法在极地科考在线系统中提供了技术支撑,已投入使用于第31次南极科学考察,并得到了相关单位的一致好评。

In the process of polar region expedition in extreme environments,the real-time monitoring and feedback of expedition ship is the important safeguard to push the cause of polar expedition. Due to the high frequency collecting and diverse monitoring acquisition,massive data with characteristics like multi-source,multi-class,multi-state emerges,how to display polar expedition route efficiently is a great challenge of the 21st century facing the marine industry. To visualize the data in Polar monitoring business platform,a data culling algorithm of TSEA（Time-Space elimination algorithm） is proposed to exclude redundancy and compress data,which makes it more quickly and efficiently in data display. TSEA algorithm has provided technical support in the polar expedition online systems and has been in operation the 31st Antarctic scientific expedition which made notable results.