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面向海洋预报任务的大数据可视化系统研究

黄冬梅 徐宸弋轩 郑霞 赵丹枫 何盛琪

计算机工程与应用2019,Vol.55Issue(7):87-94,193,9.
计算机工程与应用2019,Vol.55Issue(7):87-94,193,9.DOI:10.3778/j.issn.1002-8331.1712-0287

面向海洋预报任务的大数据可视化系统研究

Research on Big Data Visualization System for Marine Forecast Missions

黄冬梅 1徐宸弋轩 1郑霞 1赵丹枫 1何盛琪1

作者信息

  • 1. 上海海洋大学 信息学院,上海 201306
  • 折叠

摘要

Abstract

In the process of marine forecasting business, there are many core issues such as multi-source, heterogeneous, massively and strongly correlated marine data storage inefficient, large-scale high-dimensional vector field data visualization slow, multi-forecasting task collaborative interaction heavy and abnormal. These problems have brought great challenges to the comprehensive and multi-angle applications of ocean forecast data. This paper designs and develops a marine forecast monitoring data storage scheme based on the correlation of marine events, a rapid oceanographic forecast data visualization method based on SDR, and a multi-source oceanic forecast data collaborative interaction scheme based on P2P communication. A big data visualization system for ocean forecasting task is established, which provides a fast, dynamic and interactive display effect for multi-source ocean forecast data.

关键词

海洋预报数据/超高维/强关联/数据存储/数据可视化/协同交互

Key words

marine forecast data/high-dimension/strong correlation/data storage/data visualization/collaborative interaction

分类

信息技术与安全科学

引用本文复制引用

黄冬梅,徐宸弋轩,郑霞,赵丹枫,何盛琪..面向海洋预报任务的大数据可视化系统研究[J].计算机工程与应用,2019,55(7):87-94,193,9.

基金项目

国家自然科学基金(No.61402005) (No.61402005)

安徽省自然科学基金(No.1308085QF114) (No.1308085QF114)

安徽省高等学校省级自然科学基金(No.KJ2013A015,No.KJ2011Z020) (No.KJ2013A015,No.KJ2011Z020)

安徽大学科研训练项目(No.KYXL2016048) (No.KYXL2016048)

计算智能与信号处理教育部重点实验室课题项目. ()

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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