摘要
Box Car过程数据压缩算法在现场总线控制系统中得到广泛采用。其压缩效果受记录限和压缩区间的影响。本文基于对典型仿真数据的大量计算,分析了Box Car过程数据压缩算法记录限和压缩区间对趋势平稳的过程数据的压缩比、计算时间和压缩系数的影响。本文还分析了过程数据趋势特征和波动特性对Box Car算法压缩比和逼近系数的影响。本文的计算结果对于在实际应用中根据过程数据不同的趋势和噪声特征调整Box Car压缩算法参数以获得理想的压缩效果具有指导意义。
Box Car algorithm is a widely used process data compression algorithm in fieldbus control system. Its performance is affected by the recording limit and compression interval. Based on the computing result of typical simulation process data, the influence of varying the recording limit and compression interval to the compression ratio, computation time and approximation coefficient are analyzed when process trend is stable. When the process trend features drifting or periodically fluctuation, the influence of characteristics of process trend to compression ratio and approximation coefficient is studied. Results present in this paper are instructive in tuning the parameters of Box Car process data compression algorithm to obtain an ideal compression performance.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2003年第1期148-152,共5页
Computers and Applied Chemistry
关键词
BoxCar
过程数据压缩
性能分析
Box Car algorithm
process data compression
data reconstruction
