基于哈夫曼压缩原理的电子设备实时监控系统设计

Jing Tang, Yun'an Hu, Tao Lin, Yongxing Xie
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引用次数: 2

摘要

在状态变量越来越多的情况下,对状态变量进行过滤,识别运行模式意味着对状态进行采集,花费大量的计算时间,从而失去对实时性的控制。本文将重点介绍一种高频信号转换设备的工作特点和工作过程,利用NI CompactRIO系统建立设备运行状态监控系统硬件,要求对设备、设备故障、在最短的时间内报警、我们对监控信号进行霍夫曼编码,在此基础上进行模式识别,并对相关结果进行比较。采用压缩算法在最大程度上保留设备运行信息处理的同时,大大减少了运行时间,实际运行结果表明该方法是可行的,具有良好的应用前景。
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Electronic equipment real-time monitoring system design based on Huffman compression principle
More and more state variables in the case, the filter state variables, and identify operating modes means that the state collect and spend a lot of computing time, which lost control of real-time. This article will focus on one kind of high-frequency signal conversion equipment, work characteristics and work processes, using NI CompactRIO systems to set up equipment operating status monitoring system hardware, Requirements for equipment, the equipment failure, in the shortest possible time, alarm, we are monitoring the signals Huffman coding, in this based on pattern recognition, and compares relevant results. Compression algorithm used to retain equipment operation to the maximum extent of information processing while greatly reducing the time, the actual running results show that the method is feasible and has good application prospect.
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