随着船舶领域信息化、数字化水平的提高，船载信息化设备产生的数据量越来越大，如船舶自动识别系统、电子海图系统等，船舶航行数据中包含大量的潜在价值信息，对船舶航行数据进行挖掘能够获取船舶航迹特征，对于海事监管、航行交通管理等有重要的作用。本文研究一种基于云计算的船舶航行数据存储与备份系统，云计算平台能够处理海量的船舶航行数据，并通过服务架构和数据库技术，将船舶的航行数据进行可靠的存储和备份。本文重点介绍云计算技术的核心内容、船舶航行数据存储系统的构成、数据库技术以及系统的软件开发关键环节，具有一定应用价值。
With the improvement of information and data level in the field of ships, the larger the amount of data generated by shipborne information equipment, such as ship automatic identification system, electronic chart system, etc., ship navigation data contains a large number of potential value information. The mining of ship navigation data can obtain ship track characteristics, which plays an important role in maritime supervision and navigation traffic management. The research direction of this paper is the development of a ship navigation data storage and backup system based on cloud computing. Cloud computing platform can handle massive ship navigation data, and through service architecture and database technology, ship navigation data can be stored and backed up reliably. This paper mainly introduces the core content of cloud computing technology, the constitution of ship navigation data storage system, database technology and the key link of software development of the system, which has important application value.
2023,45(14): 168-171 收稿日期：2023-1-13
DOI：10.3404/j.issn.1672-7649.2023.14.033
分类号：U642.58
作者简介：贾丽娜(1987-),女,硕士,讲师,研究方向为云计算技术。
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