摘要
为了有效提高电能表检验数据的安全性,基于Delta压缩算法,设计一种电能表检验数据灾备与恢复方法。通过模糊度信息和聚类分析实现对电能表检验数据的聚类处理,检测电能表检验数据的特征,并提取其模糊度特征量。在对电能表检验数据进行压缩处理的基础上,采用Delta压缩感知算法实现对电能表检验数据的信息融合。经混合分析后,结合高维空间重组方法实现对电能表检验数据的灾备恢复。仿真实验结果表明,采用该方法进行电能表检验数据灾备与恢复的成功率较高,且最大失配量低,对异常电能表检验数据的查询耗时短。这些结果证明提出的方法能够有效提高电能表检验数据的安全传输和存储能力。
In order to effectively improve the safety of Watt-hour meter test data,this study designs a disaster preparation and recovery method of Watt-hour meter test data based on Delta compression algorithm.The cluster processing of Watt-hour meter test data is realized by fuzzy degree information and cluster analysis method,and the characteristics of Watt-hour meter test data are detected and the fuzzy degree characteristic quantity is extracted.Based on the compression processing of the Watt-hour meter test data,the Delta compressed sensing algorithm is used to realize the information fusion of the Watt-hour meter test data.After the mixed analysis,the disaster recovery of the Watt-hour meter test data is realized by combining the high-dimensional space recombination method.The simulation results show that this method has a high success rate of disaster preparation and recovery of Watt-hour meter test data,a low maximum mismatch,and a short time to query abnormal Watt-hour meter test data,which proves that it can effectively improve the safe transmission and storage capacity of Watt-hour meter test data.
作者
沈彬
魏博源
姚元其
万志文
SHEN Bin;WEI Boyuan;YAO Yuanqi;WAN Zhiwen(Zhejiang Hanpu Power Technology Co.,Ltd.,Jiaxing 314000,China)
出处
《微型电脑应用》
2022年第10期104-107,共4页
Microcomputer Applications
关键词
Delta压缩算法
电能表检验数据
灾备恢复
信息融合
高维空间重组
Delta compression algorithm
electric energy meter inspection data
disaster recovery
information fusion
high-dimensional space reorganization
