摘要： 针对过程数据的压缩，提出一种自控精度SDT算法，通过在压缩过程中对参数的动态调整，使误差控制在给定范围内，保证了压缩精度并且获得了更高的压缩比。相比于SDT算法，压缩比提高了60%~75%，实际误差与期望误差的绝对差在10-3数量级。该算法在UWnTek控制工程软件中测试完成并正式使用，具有重要的工程意义。
关键词:
过程数据压缩,
旋转门趋势,
自控精度
Abstract: This paper presents a Swinging Door Trending(SDT) algorithm for the process data compression. By adjusting the key parameter in process data compression, compression error is controlled in the range of permission, so the accuracy is well ensured and the compression ratio is greatly improved. Compared to SDT, compression ratio can increase by 60% to 75% and the absolute difference between actual error and the expected error can limit on 10-3 orders of magnitude. The algorithm has important engineering significance, the validity of which is proved by testing and running on the UWnTek platform.
Key words:
process data compression,
Swinging Door Trending(SDT),
automatic parameter control
中图分类号:
曲奕霖, 王文海. 用于过程数据压缩的自控精度SDT算法[J]. 计算机工程, 2010, 36(22): 40-42.
QU Yi-Lin, WANG Wen-Hai. Automatic Parameter Control SDT Algorithm for Process Data Compression[J]. Computer Engineering, 2010, 36(22): 40-42.