【摘要】 针对网络化车辆数据采集系统对实时数据压缩的要求 ,对数据压缩的基本理论和方法进行了研究 .采用字典编码与预测编码串联的方式组成了数据压缩系统 ,并用 C++Builder语言实现了该系统 .基于字典编码技术的L ZSS算法采用了二叉树存储数据 ,大大缩短了程序的运行时间 .预测编码采用简单算法实现了预测器的设计 ,也减少了计算机的消耗 .通过对自动换挡过程监控数据的仿真压缩验证 ,实验数据经过本系统压缩后达到了较高的压缩比 ,证明了该系统在车辆数据采集中的可行性 .更多还原

【Abstract】 Network vehicle data acquisition systems require strict limitations on real-time data compression. Basic theory and method about data compression are studied. A kind of series data compression system is presented that is made up of the predictive coding and the dictionary coding method, accomplished with C++ Builder. Binary tree is used to store data in LZSS algorithm, which shortens the running time. A simple algorithm is used in the predictive coding, which reduces the computer load. The system has been verified through simulation by monitoring data in the processing of vehicle automatic shifts. Results of simulation proved that data compression of this system is effective, and thus the feasibility of the system.更多还原