基于EMS时间序列数据的实时全息无损压缩方法的研究与应用

针对时间序列数据库存在压缩实时性差、损失数据精度、压缩比低等缺陷，提出了时间序列数据实时全息无损压缩方法。介绍实时全息无损压缩方法利用差值、异或运算等方式实现时间序列数据的快速、无损的高效压缩过程，并在实验室测试中通过实时全息无损压缩方法和Zip、Lzo压缩算法对120MB的相同时间序列数据文件分别进行正弦数据、递增数据、功率扰动数据和开关量数据压缩测试。测试结果表明，实时全息无损压缩方法的压缩比最高可达到100：1，可实现时间序列数据的无损、高效、快速压缩，具有强大的容错能力。

Research and Application of Real-time Lossless Compression Technique Based on Time Series Data in EMS

Aiming at poorness of real-time,loss of data accuracy and low compression rate of time series database,the paper proposes a real-time lossless compression technique based on time series data and it introduces implementation of fast,lossless and effective compression by means of differentials,difference or calculation;furthermore,120 MB time series data is tested in terms of sine data,increasing data,power disturbance data and switching value data by real-time lossless compression technique and Zip and Lzo compression algorithm in laboratory test.The test result shows that compression rate of lossless compression technique can be as high as 100∶1;lossless,effective and fast compression of time series data and it is of great fault-tolerant capability.