Abstract: Aiming at the data parameters fitting and analysis in Real-time Water Monitoring and Drought Early Warning Systems, and based on the discussion of Swing Door Trengding(SDT) and Lemple-Ziv-Welch(LZW) algorithm, this paper proposes a second compression algorithm. In the first compression, it uses average method based on SDT compression algorithm; in the second compression, it uses the modified LZW algorithm to achieve. Through testing the compression effect, simulation experimental results show that in the same hardware and software environment, the algorithm is capable of compressing data real-time and effectively.

Key words: real-time data, Swing Door Trengding(SDT), Lemple-Ziv-Welch(LZW), secondary compression algorithm

摘要： 对柑橘实时水分监控与旱情预警系统中的数据参数进行拟合分析，在探讨SDT和LZW 2种压缩算法的基础上，提出一种二次压缩算法：第1次压缩采用基于SDT算法思想的平均值方法；第2次压缩采用改进的LZW算法实现。对压缩效果进行测试，仿真实验证明，在相同的硬件和软件环境下，该算法能实时、高效地压缩数据。

关键词: 实时数据, SDT算法, LZW算法, 二次压缩算法

CLC Number: 

• TP311