基于数据挖掘的电网状态全感知数据压缩存储系统设计  

Design of Fully Aware Data Compression Storage System for Power Grid State Based on Data Mining

作　　者：余芸 萧展辉 唐良运 YU Yun;XIAO Zhanhui;TANG Liangyun(China Southern Power Grid Digital Grid Research Institute Co.,Ltd.,Guangzhou 510700,China)

机构地区：[1]南方电网数字电网研究院有限公司,广东广州510700

出　　处：《微型电脑应用》2023年第6期118-120,128,共4页Microcomputer Applications

摘　　要：为了实现电网大规模数据的压缩与存储,设计一种基于数据挖掘的电网状态全感知数据压缩存储系统。设计的系统由四个模块构成,其中数据处理模块能够实现挖掘的电网状态全感知数据的上传、存储、分析处理等功能;数据挖掘模块使用多维时序滑动窗口关联规则算法,对电网状态全感知数据进行挖掘;数据压缩模块通过小波变换进行电网状态全感知数据信号的压缩和重建,可以不失真地恢复数据;数据存储模块使用三种数据库及其对应访问与封装技术对压缩的电网状态全感知数据存储。测试结果表明,系统具有良好的性能,其中信号采样压缩比最高可达9.68。In order to achieve the compression and storage of large-scale data in the power grid,data mining technology is applied to design a fully aware data compression storage system for power grid status.The designed system consists of four modules.The data processing module can realize the functions of uploading,storing,analyzing and processing the mining power grid state full-aware data.The data mining module uses a multi-dimensional time series sliding window association rule algorithm to fully perceive the power grid state data mining.The data compression module uses wavelet transform to compress and reconstruct the power grid state full-sensing data signal,which can restore the data without distortion.The data storage module uses three kinds of databases and their corresponding access and packaging technologies to compress the compressed power grid state full-sensing data storage.The test results show that the system has good performance,and the signal sampling compression ratio is up to 9.68.

关 键 词：数据挖掘 插值基函数 电网状态全感知 拉格朗日多项式 数据压缩存储 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]