【摘要】 过程数据压缩是减少控制网络数据流量、避免拥塞、提高控制系统性能的有效手段之一。本文在分析Box Car过程数据压缩算法缺点的基础上,提出了一种改进的压缩算法。在给定的条件下,通过引入可调整记录限,在过程趋势比较平稳时,压缩比比原算法提高1-2倍;在过程趋势发生变化时,压缩比比原算法提高16～30%。本算法还具有改善逼近程度、监视过程趋势和辨识异常点的能力。通用典型仿真数据压缩计算证明了改进算法的适用性。更多还原

【Abstract】 Process data compression is one of effective artifices to reduce the data flow and avoid congestion in control network, and accordingly improve the performance of control system. This paper presents an improved compression algorithm based on the analysis of the defects of Box Car process data compression algorithm. Under given conditions, the introduction of an adjustable recording limit to improved algorithm can notably increase the performance of compression. When the process trend is relatively stable the compression ratio can be increased by 1-2 times to the Box Car algorithm. When the process trend is fluctuating, the compression ratio can be increased by 15-35 per cent. The improved algorithm also features the ability of improving the approximation to the raw data, monitoring the process trend and identifying the outliers. Computation of general typical simulating data shows the applicability of the improved algorithm.更多还原