基于改进Huffman编码的农机作业数据传输压缩方法

发布时间：2018-05-10 11:24

本文选题：农业机械 + 数据传输　；参考：《农业工程学报》2014年13期

【摘要】：为解决通讯环境较差的农业机械作业状态数据的传输难题,该文提出了基于改进Huffman编码技术的数据压缩方法实现数据的压缩、传输、解析与解压。数据压缩与解压测试的结果表明,数据采集周期为5 s、数据长度为918.38 kb时,基于改进Huffman算法压缩的数据长度为412.56 kb,同样条件下对比传统Huffman算法压缩的数据长度498.56 kb小86 kb,压缩率从传统Huffman算法的45.71%提升至改进Huffman算法的55.08%;传统Huffman算法中数据传输出错率和数据传输丢包率为2.47%和4.18%,而在同样传输要求下的筛选压缩传输中数据传输出错率和数据传输丢包率降至2.06%和0.78%。该方法能满足农业机械作业状态数据压缩传输要求,在单个数据包数据较少、传输时间短的压缩传输方式下能够获得较低的传输出错率和丢包率,且该方法具有计算量少、压缩效率较高特点,适合在农业机械作业区域进行数据传输。
[Abstract]:In order to solve the problem of transmitting agricultural machinery working state data in poor communication environment, this paper presents a data compression method based on improved Huffman coding technology to realize data compression, transmission, analysis and decompression. The results of data compression and decompression test show that the data acquisition period is 5 s and the data length is 918.38 kb. The length of data compressed based on the improved Huffman algorithm is 412.56 kb, which is 86 kb smaller than that of the traditional Huffman algorithm, and the compression ratio is increased from 45.71% of the traditional Huffman algorithm to 55.08% of the improved Huffman algorithm, and the data in the traditional Huffman algorithm is higher than that of the traditional Huffman algorithm. The transmission error rate and data transmission packet loss rate are 2.47% and 4.18%, while the data transmission error rate and data transmission packet loss rate are reduced to 2.06% and 0.78% under the same transmission requirements. The method can meet the requirement of compression and transmission of agricultural machinery state data, and it can obtain low transmission error rate and packet loss rate under the compression transmission mode with less data package and short transmission time, and the method has less calculation. High compression efficiency is suitable for data transmission in agricultural machinery operation area.
【作者单位】：华南农业大学工程学院;广州地理研究所;广州出入境检验检疫局;华南农业大学信息学院;
【基金】：国家质检总局科技计划项目(编号:2014IK183) 广东省科技厅计划省部产学研结合项目(编号:2012B091100345)
【分类号】：TN911.2

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