数据压缩在用电信息采集远程通信中的应用

探讨了用电信息采集系统中远程通信数据压缩的重要性和可行性,并从信息论角度指出远程通信报文存在的信息冗余度,提出采用数据压缩的方法可以缩短用电信息采集数据的传输时间,提高数据传输效率。并且,在GPRS/CDMA等无线公网通信技术为实际主导的通信方式现状下,数据压缩还可以降低数据传输成本,为电力企业节约通信流量费用。通过运用无损压缩领域的经典算法LZ77进行仿真实验,验证了数据压缩的效果。实验结果表明,LZ77算法对于常用的电能量和电能质量等长通信报文可以起到良好的压缩效果,对于低压居民电量采集等应用可以极大地缩短数据传输时间,为用电信息数据的及时获取提供保障,改善用电信息采集系统的工作效率。

Application of Data Compression to Remote Communication of Electric Energy Data Acquisition

This paper discusses the importance and feasibility of data compression in remote data communication of electric energy data acquisition system, and points out the existing information redundancy in the communication datagram from the aspect of information theory, and then proposes a method of applying data compression before transmitting data to reduce the transmission time and increase the transmission efficiency. Moreover, under circumstances that public wireless communication techniques such as GPRS or CDMA are the dominant data transmission approaches, data compression can not only reduce the cost of data transmission, but also save communication cost for electric enterprises. Simulation experiments with the classic lossless compression algorithm LZ77 show that fairly good performance can be achieved for common long datagram such as electric energy data and electric energy quality data. Furthermore, for low-voltage household residential electric energy data acquisition, data compression will greatly reduce the data transmission time, which provides a guarantee for fast electric energy data acquisition, and improves the efficiency of the electric energy data acquisition system.