摘要
大气电场数据能够很好地表征地面大气电场的变化情况,对于研究雷电的发生发展具有重要意义。针对电场数据的时空海量特性给数据的存储共享以及专业分析使用都带来很大困难这一问题,根据电场数据随时间起伏变化的特点,提出时间分割基础上的压缩组织存储算法。该算法能够确保在电场数据"波动段无损"的前提下,有效降低电场冗余数据的存储,节省存储空间,提高海量数据的查询效率;基于"波动段"与"非波动段"的组织结构进一步增加了数据检索查询的灵活性。在此基础上本文基于WCF(Windows Communication Foundation)技术实现对电场数据及其压缩操作算法等的服务共享。最后采用实际电场数据进行了实例实现,充分验证了该压缩存储算法以及共享机制的有效性与可行性,能够为海量电场数据高效的专业分析使用提供支持。
The atmospheric electric field data can indicate the fluctuation of atmospheric electric fields on the ground very well,which is significant to the research of thunder and lightning generation. However,the spatiotemporal and massive characteristic of electric field data brings much trouble to storing and sharing the data as well as data's professional analysis and use. To solve this problem,in this paper,according to the characteristic that the electric field data fluctuates along with the time,we propose a time division-based compressed organisation storage algorithm. On the premise of 'lossless in fluctuational segment'of the electric field data,it can ensure to effectively decrease the storage of redundant data of electric field,save the storage space and improve the efficiency of massive data query. Based on the organisation structure of 'fluctuational segment ' or 'non-fluctuational segments ',the algorithm further increases the flexibility of data retrieval and query; according to this,we realise the services sharing for electric field data and its compression operation algorithm based on WCF technology. At last,we adopt the actual electric field data to implement the algorithm with example,which fully verifies the effectiveness and feasibility of the proposed compressed storage algorithm and sharing mechanism,this can provide the support for efficient professional analysis and use of the massive electric field data.
出处
《计算机应用与软件》
CSCD
2016年第7期93-96,共4页
Computer Applications and Software
基金
国家自然科学基金项目(40901244)
博士后基金项目( R2012B03)
公益性行业科研专项( GYHY200806014)
关键词
电场数据
压缩
存储
共享
Electric field data
Compress
Storage
Sharing
