太阳风粒子数据映射模型的设计与实现

J4 ›› 2012, Vol. 34 ›› Issue (3): 176-179.

太阳风粒子数据映射模型的设计与实现

王合闯1，2，王华军1

(1.成都理工大学信息科学与技术学院，四川成都 610059;
2.濮阳职业技术学院数学与信息工程系，河南濮阳457000)

收稿日期:2011-01-12 修回日期:2011-05-18 出版日期:2012-03-26 发布日期:2012-03-25

Design and Implementation of a Data Mapping Model for Solar Wind Particles

WANG Hechuang1，2，WANG Huajun1

(1.School of Information Science and Technology，Chengdu University of Technology，Chengdu 610059;
2.Department of Mathematics and Information Engineering，
Puyang Vocational and Technical College,Puyang 457000，China)

Received:2011-01-12 Revised:2011-05-18 Online:2012-03-26 Published:2012-03-25

摘要/Abstract

摘要：

为了能够快速获得第三级太阳风粒子可分析处理的结构化数据，本文采用将数据映射到内存和采用语言集成查询技术解决数据的完整映射和快速访问。通过设计数据映射模型，将用PDS数据的数据标签和数据产品分别映射到模型的值域和属性域，解决本地或网络数据内存映射的问题。为测试这个实例，采用双倍缓冲和贝塞尔插值技术对数据能谱进行了实时绘制。结果表明该模型具有高效性、完备性和高吻合度。这个基于内存映射的模型能够较好地解决异构数据快速结构化数据访问的数据源动力不足问题，为进一步处理和分析太阳高能粒子的频谱、成份和通量及随时间、空间变化的分布特征等提供了基础。

关键词: 太阳风, 数据映射模型, 双倍缓冲, 贝塞尔插值

Abstract:

In order to obtain the structured data that the third stage solar wind particles can analyze and process, we load the data into memory and use the technology of LINQ to solve the integrity of data mapping and quick access. By designing a data mapping model, the labels and products of the PDS data will be mapped to the codomain and the attribute domain separately. The experimentation is made, and double caching and the Bessel interpolation are adopted. The empirical results show that the model features effectiveness, completeness and high alignment. This model which is based on memory mapping can be a better way to solve the heterogeneous data source power shortage problem during the rapid access of the structured data. It gives a foundation to analyse the frequency spectrum, the ingredients the flux and the distribution characteristics varying with time and space.

Key words: 太阳风;数据映射模型;双倍缓冲;贝塞尔插值

王合闯1，2，王华军1. 太阳风粒子数据映射模型的设计与实现[J]. J4, 2012, 34(3): 176-179.

WANG Hechuang1，2，WANG Huajun1. Design and Implementation of a Data Mapping Model for Solar Wind Particles[J]. J4, 2012, 34(3): 176-179.

［1］	董科军,阎保平. 科学数据环境下基于域的存储网格模型［J］. 微电子学与计算机,2007,24(6):158161.
［2］	Kempler S J. Earth Science Remote Sensing Data and Services and Information Technology at the NASA/GES DISC DAAC［M］∥Earth Science Satellite Remote Sensing,Volume 2:Data ,Computational Processing and Tools. 北京:清华大学出版社, 2006.
［3］	王燕,何小明,臧海佳,等. 美国卫星科学数据处理存档系统S4PA 综述［J］.遥感信息,2010(2):109113.
［4］	马高峰,郑勇,郭睿.月球参考系的建立［C］∥中国空间科学学会空间探测专业委员会第十八次学术会议论文集（上册）［C］, 2005:5662.
［5］	Nagel C,Evjen B. Wrox Professional C# 2008［M］. Wiley Publishing, 2008:865876.
［6］	谢剑斌,李沛秦,刘通,等. 一种基于内容分割的数字地图插值新算法［J］.计算机工程与科学,2008,30(2):5557,138.