过程数据压缩中PLOT算法的研究

Research on PLOT Algorithm in Process Data Compression

介绍了一种过程数据的压缩方法———分析线性在线趋势化 (PiecewiseLinearOnlineTrending)压缩方法。该方法对离散时间采样信号进行分段线性拟合 ,利用对过程方差的估计自动适应过程数据的变化趋势 ,同时实现对野点的检测。

This paper introduced a kind of process data compression methods——PLOT(Piecewise Linear Online Trending) Algorithm, Which extrapolates the discrete sampled signals of equal time with piecewise straight lines,and automatically adaptes itslf to the trending of the process data and detectes the outliners Using the estimate of process variance.