摘要
随着大数据分析技术的不断发展,船舶航线线路的规划与分析的计算速度得到了质的提升。伴随船舶航线规划的可视化,传统算法无法很好将大数据分析技术分析结果转换为可视化数据进行输出。因此,研究大数据分析技术在历史航行路线可视化中的应用。通过大数据分析技术建立历史航线模型,同时对模型数据的传输信道进行优化计算,保证可视化数据转换过程中的读取稳定。采用DHZA可视化转换对模型数据进行转换输出,实现从架构上的稳定对接与转换。实验证明,大数据分析技术在航线可视化输出中具有一定作用。
With the continuous development of big data analysis technology,the calculation speed of ship route planning and analysis has been qualitatively improved.With the visualization of ship route planning,the traditional algorithm can not convert the analysis results of big data analysis technology into visual data for output.Therefore,the application of big data analysis technology in the visualization of historical navigation route is studied.The historical route model is established by big data analysis technology;at the same time,the transmission channel of the model data is optimized to ensure the reading stability in the process of visual data conversion;the model data is converted and output through the visual conversion of DHZA,and the architecture is realized.Finally,it is proved by experiments that big data analysis technology plays an important role in the visual output of routes.
作者
陈海蕊
开金宇
CHEN Hai-rui;KAI Jin-yu(School of Software,Zhongyuan University of Technology,Zhengzhou 450007,China)
出处
《舰船科学技术》
北大核心
2019年第24期58-60,共3页
Ship Science and Technology
关键词
大数据分析
航行线路
可视化
应用
big data analysis
navigation line
visualization
application
