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大型发电机组远程状态监测系统中实时数据的存储与网络传输对数据压缩和重构技术提出了较高的要求。文中给出一种提升小波变换与混合熵编码技术相结合的数据压缩方法。首先利用基于提升格式的双正交滤波器组对实时数据进行小波分解,然后对小波系数进行阈值量化,最后通过混合熵编码技术对保留的系数进行编码,以进一步提高压缩效率。对实际发电机组实时数据进行了压缩试验,结果表明,有损压缩技术和无损压缩技术的结合可以获得较高的压缩比,能够较好地满足大型发电机组实时数据的存储和传输需求,是一种有效和实用的实时数据压缩方法。
The storage and network transmission of real-time data in the remote condition monitoring system of large generating sets put forward higher requirements on data compression and reconstruction techniques. In this paper, a data compression method based on lifting wavelet transform and hybrid entropy coding is proposed. First, the real-time data is decomposed by wavelet transform based on the biorthogonal filter bank of lifting scheme, and then the threshold value of the wavelet coefficients is quantized. Finally, the entropy coding technique is used to encode the reserved coefficients to further improve the compression efficiency. The real-time data of the actual generator set is compressed and tested. The results show that the combination of lossy compression technique and lossless compression technique can achieve higher compression ratio and better meet the real-time data storage and transmission requirements of large generating sets. Effective and practical method of real-time data compression.