段培永, 张玫, 汤同奎. SDT算法及其在局域控制网络中压缩过程数据的应用[J]. 信息与控制, 2002, 31(2): 132-135.
引用本文: 段培永, 张玫, 汤同奎. SDT算法及其在局域控制网络中压缩过程数据的应用[J]. 信息与控制, 2002, 31(2): 132-135.
DUAN Pei-yong, ZHANG Mei, TANG Tong-kui. A SWING DOOR TRENDING (SDT) ALGORITHM AND ITS APPLICATION TO COMPRESSING PROCESS DATA RECEIVED BY LOCAL OPERATION NETWORK NODES[J]. INFORMATION AND CONTROL, 2002, 31(2): 132-135.
Citation: DUAN Pei-yong, ZHANG Mei, TANG Tong-kui. A SWING DOOR TRENDING (SDT) ALGORITHM AND ITS APPLICATION TO COMPRESSING PROCESS DATA RECEIVED BY LOCAL OPERATION NETWORK NODES[J]. INFORMATION AND CONTROL, 2002, 31(2): 132-135.

SDT算法及其在局域控制网络中压缩过程数据的应用

A SWING DOOR TRENDING (SDT) ALGORITHM AND ITS APPLICATION TO COMPRESSING PROCESS DATA RECEIVED BY LOCAL OPERATION NETWORK NODES

  • 摘要: SDT(Swinging Door Trending)算法运算量小,在过程数据压缩中得到广泛应用.为了提高该算法的性能,对该算法进行了改进,给出了离线和在线压缩算法及信号重建算法.仿真研究表明改进算法在最大偏差与误差平方和等方面的性能指标优于原算法.用NeuronC编写了改进算法的应用程序,并成功下载到自行设计的数据采集节点中,实现了改进压缩算法的在线应用.

     

    Abstract: A SDT(Swinging Door Trending)algorithm with low computation cost is generally used in process data compression. The modified SDT algorithms, include offline and online compression and information retrieve, are presented to enhance compression performance. Simulation results demonstrate that the algorithm is better than the original one in the performance index of maximum error and sum of squared error. The Neuron C program is written and downloaded into the self designed data acquisition nodes, online use of the modified algorithm is therefore implemented.

     

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