基于FPC和区间编码的工业浮点数据的压缩传输

发布时间：2018-04-09 14:41

本文选题：工业浮点数　切入点：无损压缩　出处：《计算机工程与应用》2016年24期

【摘要】：为解决大量工业浮点数据在GPRS网络上传输时实时性降低的问题,提出了基于科学计算双浮点数压缩算法(FPC)与区间编码相结合的无损压缩方法 IFPC实现工业浮点数据的压缩传输及解压缩。先对FPC算法与通用无损压缩算法应用在浮点数部分时的压缩效果作实验对比,实验结果表明FPC算法相比于通用的无损压缩算法在浮点数压缩上具有较好的压缩率以及较短的压缩与解压缩时间。将FPC算法与区间编码结合后的IFPC算法对整个数据域压缩与解压缩的实验结果表明,所提出的方法相比通用无损压缩算法,压缩率最低可提高7.6%,压缩时间最低可减少49.1%,综合传输时间减少了21.3%,提高了传输实时性。
[Abstract]:In order to solve the problem that a large amount of industrial floating-point data can be transmitted on GPRS network,A lossless compression method (IFPC) based on the combination of scientific double floating-point compression algorithm and interval coding is proposed to realize the compression transmission and decompression of industrial floating-point data.First of all, the compression effect of FPC algorithm and general lossless compression algorithm is compared with that of general lossless compression algorithm in floating-point part.Experimental results show that the FPC algorithm has better compression ratio and shorter compression and decompression time than the general lossless compression algorithm.The experimental results of FPC algorithm combined with interval coding for compression and decompression of the whole data domain show that the proposed method is better than the general lossless compression algorithm.The lowest compression ratio can be increased by 7.6, the minimum compression time can be reduced by 49.1, the comprehensive transmission time is reduced by 21.3, and the real time of transmission is improved.
【作者单位】：江南大学物联网工程学院;
【分类号】：TP277;TN929.532

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