针对一定网络带宽下生产过程报表系统对大型数据源访问速率不高的问题，提出了一种基于Huffman编码的XML数据压缩方法。通过构造数据处理类获取XML文档中重复率高的节点单元，采用Huffman编码对节点单元进行编码，将编码后文档利用LZMA算法压缩，构建了Huffman-LZMA压缩算法，并将该压缩算法应用于生产过程报表系统设计。实际应用结果表明，该压缩算法对生产过程报表数据源的压缩率达到约88%，有效的节省了网络带宽和存储空间，提高了报表系统的访问速率。

An XML data compression method based on Huffman coding has been proposed for the problem where the accessing rate of a production process report system for a large data source is not high in a certain bandwidth. A data processing class was constructed for XML documents to get a high rate word units in this algorithm. With the help of Huffman coding to code specific unit words, the coded document was compressed by the LZMA compression algorithm. The problem of needing the assistance of the document type definition and XML parser in the traditional XML data compression algorithm was solved using this algorithm, which resulted in a good compression effect. The Huffman-LZMA compression algorithm was constructed and was applied to the production process report system design. The experimental compression ratio of the report data reached about 88%. The bandwidth and storage space were saved effectively, and the report accessing rate was improved.