摘要
为了解决电力运检行为信息存储空间过大的问题,提出加入时间维的电力运检行为信息主动压缩方法。通过构建联合稀疏模型、稀疏字典、测量矩阵以及联合重构方法,合并所获得的电力运检行为信息;利用时间维内的周期相似性,以一个周期的电力运检行为信息为基准,保存其余周期电力运检行为信息和基准之间的差值,并通过阈值处理和无损编码技术完成主动压缩,以减小信息存储空间。实验结果表明,所提出的方法可快速获取电力运检行为信息,能够压缩不同规模的信息,压缩性能较优,压缩后的信息与原始信息一致。
In order to solve the problem of excessive storage space for power operation inspection behavior information,an active compression method for power operation inspection behavior information by adding time dimension is proposed.By constructing the joint sparse model,sparse dictionary,measurement matrix and joint reconstruction method,the obtained power operation inspection behavior information is merged.The periodic similarity within the time dimension is used,using one cycle of operation inspection behavior information as a reference,the difference between the operation inspection behavior information of other cycles and the reference is saved,and the active compression is achieved through threshold processing and lossless encoding technology to reduce information storage space.The experimental results show that the proposed method can quickly obtain the power operation inspection behavior information,and can compress information of different scales.The compression performance is better,and the compressed information is consistent with the original information.
作者
索吉鑫
杜涛
李文娟
韩宝卿
杨生婧
马忠梅
SUO Jixin;DU Tao;LI Wenjuan;HAN Baoqing;YANG Shengjing;MA Zhongmei(Information and Communication Company of State Grid Qinghai Electric Power Company,Xining 810000,China;State Grid Qinghai Electric Power Company,Xining 810000,China)
出处
《微型电脑应用》
2025年第12期141-143,162,共4页
Microcomputer Applications
关键词
时间维
电力运检
行为信息
主动压缩
time dimension
power operation inspection
behavior information
active compression
