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云端群组共享数据内存折叠压缩方法

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电力交易数据在云端群组中所占的存储空间过大,导致电网体系运行速率不断下降.为了优化电网体系的运行效果,提出一种新的云端群组共享数据内存折叠压缩方法.分段原始电力交易数据,并实施初步预处理.将预处理后的多个电力交易数据段合并为一个小型的电力交易数据块结构,再联合哈夫曼编码条件,实现对电力交易数据的折叠式压缩,完成云端群组共享数据内存折叠压缩.实验结果表明,经过所提方法折叠压缩后的电力交易数据,在共享过程中所占的存储空间低于0.99×1011 MB,不会因电力交易数据所占存储空间过大造成电网体系运行速率的下降,保证了运行效果.
Cloud group shared data memory folding compression method
The excessive storage space occupied by power transaction data in cloud groups has led to a continuous decline in the operating speed of the power grid system.In order to optimize the operation effect of the power grid system,a new cloud group shared data memory folding compression method is proposed.Segment the original electricity trading data and implement preliminary preprocessing.Merge multiple preprocessed power transaction data segments into a small power transaction data block structure,and then combine Huffman encoding conditions to achieve folding compression of power transaction data,completing cloud group shared data memory folding compression.The experimental results show that the power transaction data compressed by the proposed method occupies less than 0.99×1011 MB of storage space during the sharing process,and will not cause a decrease in the operating speed of the power grid system due to the large storage space occupied by the power transaction data,ensuring the operation effect.

cloud groupshared datamemory foldingmemory compressionHuffman coding

刘勃、邓艳丽

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国家电网有限公司客户服务中心,天津 300000

云端群组 共享数据 内存折叠 内存压缩 哈夫曼编码

2025

电子设计工程
西安三才科技实业有限公司

电子设计工程

影响因子:0.333
ISSN:1674-6236
年,卷(期):2025.33(3)