针对长时间连续远程监测工程机械运行状态信息数据流量很大的问题,分析了实时监测过程中的数据流模型,充分利用数据流本身的冗余特性,提出了多种数据压缩方法混合的压缩策略,包括对时间标签预测编码以及对GPS数据与CAN总线数据字符串相对编码等.应用表明,该算法实现简单、实时性好,且具有较高的压缩效率.
The amount of data flow is considerable when continuously remote monitoring the runnmg condition of construction machinery for a long time. In this paper, the data flow model of the real-time monitor process was analyzed. A comprehensive compression strategy mixed with several data compression methods was proposed, including prediction coding, character string relative coding. The application indicates the algorithm is easy to implement and has good real-time performance and high compression efficiency.