基于云储存的气象数据动态可视化重建算法设计  

Design of a dynamic visual reconstruction algorithm for meteorological data based on cloud storage

作　　者：高晓静 艾文文 王博妮 张岚 许福根 GAO Xiaojing;AI Wenwen;WANG Boni;ZHANG Lan;XU Fugen(Jiangsu Meteorological Bureau,Nanjing 210019,China)

机构地区：[1]江苏省气象局,江苏南京210019

出　　处：《电子设计工程》2023年第2期11-15,共5页Electronic Design Engineering

基　　金：国家自然科学基金项目(41575135);江苏省气象局面上项目(KM202105)。

摘　　要：针对气象数据在进行可视化处理时,存在数据传输速度慢和处理效率低的问题,文中提出了一种基于云储存的气象数据动态可视化重建算法设计方案。利用云储存技术进行气象实时动态数据储存的预处理,同时提高储存效率;视频压缩编码算法被用来将四维数据体分解为二维网格化数据,并采用双线性插值法对分解后的数据进行必要性修正,从而形成规则化的二维网格数据;采用基于云计算的压缩矩阵Apriori改进算法进行数据压缩。在与基于DAT和分包ZIP两种数据传输方法进行的同等可视化质量数据传输试验中,文中所提算法将传输数据量分别降低了52.1%和31.8%。Aiming at the problems of slow data transmission speed and low processing efficiency in meteorological data visualization processing,a design scheme of dynamic visualization reconstruction algorithm of meteorological data based on cloud storage is proposed in this paper.Cloud storage technology is used to preprocess the storage of meteorological real-time dynamic data to improve the storage efficiency;The video compression coding algorithm is used to decompose the four-dimensional data volume into two-dimensional grid data,and the bilinear interpolation method is used to modify the necessity of the decomposed two-dimensional grid data to form regular two-dimensional grid data;The improved Apriori algorithm of compression matrix based on cloud computing is used for data compression.In the same visual quality data transmission test with the two data transmission methods based on DAT and subcontract ZIP,the proposed algorithm reduces the amount of transmitted data by 52.1%and31.8%respectively.

关 键 词：气象数据 动态可视化重建算法 云储存 视频压缩编码 双线性插值 压缩矩阵Apriori改进算法 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN91[自动化与计算机技术—控制科学与工程]