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文章摘要
基于冗余分析的用电信息采集系统数据压缩方法
Data compression method of electric energy data acquisition system based on redundancy analysis
Received:October 12, 2019  Revised:October 12, 2019
DOI:10.19753/j.issn1001-1390.2022.05.009
中文关键词: 用电信息采集  远程通信报文  冗余性分析  数据压缩  组合压缩
英文关键词: electric energy data acquisition  remote communication datagram  redundancy analysis  data compression  combinatorial compression
基金项目:国家电网公司总部科技项目“支撑低压配网停电故障快速抢修的用电信息采集系统关键技术研究”资助(No.521101180017)
Author NameAffiliationE-mail
Zheng Guoquan China Electric Power Research Institute Co., Ltd. 420633899@qq.com 
Dou Jian China Electric Power Research Institute Co., Ltd. doujian@epri.sgcc.com.cn 
Lu Jizhe China Electric Power Research Institute Co., Ltd. lujizhe1992@163.com 
Qie Shuang China Electric Power Research Institute Co., Ltd. qieshuang@epri.sgcc.com.cn 
Ye Fangbin State Grid Zhejiang Electric Power Co., Ltd. Electric Power Research Institute yefb@163.com 
Hu Haoxing* School of Microelectronics and Communication Engineering, Chongqing University huhaoxing1995@qq.com 
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中文摘要:
      为解决用电信息采集系统中数据高频上报引起的通信及存储问题,首先通过协议分析将远程通信报文的冗余性分为了帧间冗余、模式冗余以及编码冗余,并分别采用报文预处理方法、LZ77算法与Huffman算法压缩其冗余;然后针对单种算法无法同时对报文的三种冗余进行压缩的问题,通过对三种冗余各自的特性及相互间关系的分析,提出了一种组合压缩的方式,实验结果表明,该方法可以有效的缩短远程通信报文的长度,从而减少存储消耗、提高网络的传输效率。
英文摘要:
      In order to solve the communication and storage problems caused by high-frequency data reporting in the electric energy data acquisition system, we first divide the redundancy of the remote communication datagrams into inter-frame redundancy, mode redundancy and coding redundancy through protocol analysis, and use datagram preprocessing method, LZ77 algorithm and Huffman algorithm to eliminate these redundancies respectively; Then, according to the problem which these redundancies cannot be removed by a single algorithm simultaneously, we analyze their characteristics and relationships and propose a combination compression method. Finally, the experimental results show that the method can effectively shorten the length of the datagram, thus reducing storage consumption and improving network transmission efficiency.
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