| 车辆数据采集系统中数据压缩技术的研究 |
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| 引用本文： | 南金瑞,王建群,孙逢春,陈铁.车辆数据采集系统中数据压缩技术的研究[J].北京理工大学学报,2003,23(1):46-49. |
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| 作者姓名： | 南金瑞 王建群 孙逢春 陈铁 |
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| 作者单位： | 北京理工大学,机械与车辆工程学院,北京,100081 |
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| 基金项目： | 国家高技术研究发展计划(863计划);2002AA501812; |
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| 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LZSS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。
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| 关 键 词： | 车辆数据采集系统 数据压缩 字典编码 预测编码 LZSS算法 数据结构 数据传输 |
| 文章编号： | 1001-0645(2003)01-0046-04 |
| 收稿时间： | 2002/3/29 0:00:00 |
| 修稿时间： | 2002年3月29日 |
Data Compression Technique in Vehicle Data Acquisition Systems |
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| NAN Jin-rui,WANG Jian-qun,SUN Feng-chun and CHEN Tie.Data Compression Technique in Vehicle Data Acquisition Systems[J].Journal of Beijing Institute of Technology(Natural Science Edition),2003,23(1):46-49. |
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| Authors: | NAN Jin-rui WANG Jian-qun SUN Feng-chun and CHEN Tie |
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| Institution: | School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing100081, China;School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing100081, China;School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing100081, China;School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing100081, China |
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| 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. |
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| Keywords: | data compression data acquisition dictionary coding predictive coding |
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