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Construction and Application of Ship Data Mining Platform Based on Spark

机译:基于火花的船舶数据挖掘平台的构建与应用

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With the explosive growth of ship information data brought by the intellectualization and digitization of waterborne traffic, it has become more and more important to process and apply massive ship data quickly and accurately. In view of the growing maturity and wide application of Spark large data technology in data mining field, this paper, against the characteristics of ship AIS data, chooses a series of large data technologies based on Spark to build the AIS data mining platform. According to the basic process of mining and processing, the overall framework of the platform is divided into three modules: database, Spark computing and mining, visualization. The AIS data of Sunda Strait with high ship density is used to process and mine the actual data to verify the availability of the platform. The results show that the platform works well and the three modules can work normally. And the AIS data of the Strait are processed and mined quickly and accurately. According to different requirements, it can display bar charts, polyline charts, histogram, trajectory charts and thermal charts and other commonly used data analysis graphics to achieve the effect of navigation assistance.
机译:随着船舶信息数据的爆炸性增长,智能化和水性流量的数字化带来,流程越来越重要,快速准确地应用大量船舶数据。鉴于日益增长的成熟度和Spark大数据技术在数据挖掘领域的广泛应用,本文采用船舶AIS数据的特点,选择了一系列基于火花的大型数据技术,以构建AIS数据挖掘平台。根据挖掘和处理的基本过程,平台的整体框架分为三个模块:数据库,火花计算和挖掘,可视化。使用高船密度的Sunda海峡的AIS数据用于处理并挖掘实际数据以验证平台的可用性。结果表明,该平台运行良好,三个模块可以正常工作。并快速准确地处理海峡的AIS数据。根据不同的要求,它可以显示条形图,折线图表,直方图,轨迹图表和热图表以及其他常用的数据分析图形,以实现导航辅助的效果。

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