基于Spark平台的船舶数据分析研究

Yujuan Zou, Juan Zhang, P. Tang, Taizhi Lv
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引用次数: 0

摘要

水运是以船舶为主要运输手段的一种运输方式。中国是世界上最重要的航运国之一,也是最大的造船国。船舶基础数据是各级海事管理部门管理的核心内容。随着新一代信息技术的发展,航运业进入了4.0时代。这对海事监管提出了更高的要求。为了提高海事监管水平,使海事管理部门能够及时掌握船舶信息,设计并实现了基于Spark平台的船舶数据分析平台。平台通过Sqoop将业务数据库中的数据提取到Hive数据仓库中,通过Spark分布式计算平台对船舶数据进行分析,将分析结果存储在MySQL数据库中,通过Spring Boot框架从数据库中提取船舶基础数据,通过Axios获取后台传输的JSON数据,通过Vue.js进行数据绑定,通过Echarts和Mapbox进行图表显示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on ship data analysis based on Spark platform
Water transportation is a transportation mode with ships as the main means. China is one of the most important shipping countries in the world and the largest shipbuilding country. Ship basic data is the core of management by maritime regulatory authorities at all levels. With the development of the new generation of information technology, the shipping industry has entered the 4.0 era. It puts forward higher requirements for maritime supervision. In order to improve the level of maritime supervision and enable maritime management departments to timely grasp ship information, a ship data analysis platform based on Spark platform is designed and implemented. The platform extracts data from the business database into the Hive data warehouse through Sqoop, analyzes ship data through the Spark distributed computing platform, stores the analysis results in the MySQL database, extracts ship basic data from the database through the Spring Boot framework, obtains JSON data transmitted in the background using Axios, binds data through Vue.js, and displays charts through Echarts and Mapbox.
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