一种基于SDT算法的新的过程数据压缩算法

A New Process Data Compression Algorithm Based on SDT Algorithm

针对流程工业实测过程数据压缩存储问题,在深入分析旋转门(SDT,Swing Door Trending)算法的基础上,提出了一种基于SDT算法新的过程数据压缩算法(NSDT,New Swing Door Trending)。NSDT算法采用曲线对过程数据进行拟和以实现数据压缩,与SDT算法相比能取得更好的压缩效果。根据理论分析和实验数据结果分析,证明了NSDT算法确实可以在不增加压缩误差的前提下,有效地提高压缩比。

To address the issue of process industry real-time process data compression,after in-depth analysis of SDT（Swing Door Trending） algorithm,a new process data compression algorithm（NSDT,New Swing Door Trending） based on the SDT algorithm is presented.NSDT algorithm is an algorithm which fits process data using curve,and compared with the SDT algorithm it can achieve better compression results.According to theoretical analysis and experimental data analysis,it is proved that NSDT algorithm can actually greatly improve the compression ratio while the compression error is not increased.