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数控系统可靠性数据是产品早期故障定位和排除的基础.数控系统包含配置数据,诊断数据,运行状态数据等可靠性数据,这些数据大部分是实时数据,随着监测时间的推移会大量增长,所以数据的有效存储是不得不解决的问题.数据压缩是节省存储空间、提高存储效率的一种有效方法.根据不同类型可靠性数据的特点和变化规律,设计合适的压缩算法.改进LZW算法实现静态文本数据的压缩,改进旋转门算法压缩过程数据,对网络传输数据采用二级压缩方式进行压缩.实验表明,使用该压缩方案能够在保证实时性的情况下对数控系统不同类型的可靠性数据进行有效的压缩,节约存储空间和网络传输带宽.
CNC system reliability data is the basis of product early fault location and exclusion.The CNC system contains the reliability data of configuration data, diagnosis data and operating status data, etc. Most of these data are real-time data, which will increase greatly with the monitoring time, Therefore, the effective storage of data is the problem that must be solved.Data compression is an effective method to save storage space and improve storage efficiency.According to the characteristics and variation rules of different types of reliability data, an appropriate compression algorithm is designed.An improved LZW algorithm The compression of static text data is improved, the revolving door algorithm is used to compress the process data, and the network transmission data is compressed by two-stage compression method.Experiments show that using this compression scheme can guarantee the real-time performance of different types of reliability data Effective compression, saving storage space and network bandwidth.