改进Rsync技术的电能计量参数优化评估方法

Improved evaluation method of energy metering parameter optimization based on Rsync technology

为解决电量计量数据和电力营销水平的评估能力差的问题,结合了边缘计算技术在数据源附件部署边缘节点,利用改进型Rsync算法对系统中的各应用模块和边缘节点进行数据同步,对评估完成的电力数据进行预测和修正。设计出电量计量误差评估优化装置进行计量优化,对电能表的环境温度进行感知,根据全同态加密方案,提高数据的安全性。通过对经典的Rsync算法进行改进优化,采用轻量级差量的内容分块代替固定长度分块,采用滑动窗口获取同步数据的弱指纹,提高差分同步效率。实验结果显示,该系统的数据同步时间最短为438 ms,CPU利用率低于40%,提高了电量计量数据和电力营销水平的评估能力。

In order to solve the problem of poor evaluation ability of electricity metering data and power marketing level,the edge computing technology was combined to deploy the edge node in the data source attachment,and the improved Rsync algorithm was used to synchronize the data of each application module and the edge node in the sys⁃tem,and the power data after evaluation was predicted and corrected.The metering error evaluation and optimiza⁃tion device was designed to optimize the metering,perceive the ambient temperature of the electric energy meter,and improve the security of the data according to the fully homomorphic encryption scheme.By improving and opti⁃mizing the classical RSYNC algorithm,lightweight difference content segmentation was used instead of fixed length segmentation,and weak fingerprint of synchronization data was obtained by sliding window to improve the efficiency of differential synchronization.The experimental results showed that the shortest data synchronization time of the re⁃search system was 438 ms,and the CPU utilization was less than 40%,which greatly improves the evaluation ability of power metering data and power marketing level.