帮助 本站公告
您现在所在的位置:网站首页 > 知识中心 > 文献详情
文献详细Journal detailed

面向IP模式测控系统的PLSR-SBR双层压缩
Double-layer compression method based on PLSR-SBR for IP mode measurement and control system

作  者: ; ;

机构地区: 华南理工大学机械与汽车工程学院

出  处: 《光学精密工程》 2010年第10期2280-2287,共8页

摘  要: 针对以太网测控网络存在数据冲突导致系统实时性、可靠性降低问题,提出了基于偏最小二乘回归(PLSR)SBR的双层压缩方法。第一层建立主参量与所有辅助参量的确定模型,利用压缩有效性指标确定主成分,完成主参量的信息压缩。第二层基于改进的SBR,通过选取辅助参量中的基础序列,建立基础信号;在满足拟合误差条件下,逐步将每一个辅助参量序列映射到基础信号上,完成对辅助参量的数据压缩。该方法重点解决辅助参量和主参量中的解释潜变量和反映潜变量相关程度最大、基础信号由最少基础序列组成、辅助参量实现最小变长分解个数及基础信号独立更新原则等关键问题。最后将该方法应用于IP模式乙醇浓度测控系统。实验结果表明,在IP模式测控系统同时具有主参量和辅助参量,且不同参量间存在相关性时,该方法可在允许拟合相对误差为5%的情况下,使压缩率达到68%以上,从而有效地降低以太网测控网络数据冲突程度。 To address the existing problems in Ethernet measurement and control networks, such as real-time and reliability caused by the collision of measurement and control data, a double-layer compression method based on Partial Least Square Regression-self Based Regression(PLSR-SBR) was induced to the IP Mode Measurement and Control System(IMMCS). In the first layer, the model of main parameters and all auxiliary parameters was built up based on PLSR. The principal score of main parameter was determined by the efficient compression index to finish the information compression of main parameter. In the second layer, the auxiliary parameters were compressed based on a modified SBR to set up a basic signal. To ensure the fitting error to be smaller than the setting value, every auxiliary parameter sequence in the auxiliary parameters or the decomposed sequences were mapped in turn to a definitive basic signal to complete the data compression of the auxiliary parameters. Innovative technologies for some key problems were addressed in the method, including the confirmation of maximum correlation degree of interpreting latent variables and reflecting latent variables,basic signal with least basic sequences, the minimum number of decomposed sequences from auxiliary parameters and the independent update rule of basic signal. Finally, experiments using IMMCS for alcohol concentration were performed. The results show that under the conditions that IMMCS possesses main parameters and auxiliary parameters, and simultaneously data variety of parameters is wide, the compression ratio based on the method reaches 68%,which is higher than that based on the Swinging Door. The data collision of Ethernet measurements and control networks are decreased effectively.

关 键 词: 模式测控系统 数据压缩 偏最小二乘回归 改进的

领  域: [电子电信] [电子电信] [自动化与计算机技术] [自动化与计算机技术]

相关作者

作者 欧阳艳艳

相关机构对象

机构 华南理工大学
机构 暨南大学
机构 中山大学

相关领域作者

作者 毕凌燕
作者 王和勇
作者 杨涛
作者 谢惠加
作者 孟显勇