摘要
为加快用电信息数据计算处理的速度,基于云计算技术设计了配电网用电信息采集和管理系统。系统采集层中的集中器主控模块使用MSP430F249单片机,通信模块使用CC2530芯片和H685设备。云计算平台使用分段聚合近似算法对用电信息数据进行降维处理,对异常用电大数据集进行预处理时采用插值法处理缺失值,计算用户的用电斜率和线损连续波动值,建立异常用电信息识别模型。搭建云计算实验平台进行应用测试,实验结果显示,该研究系统的目标错误率为0.006%,对实验样本数据的处理时间最短为7.85 ms。
In order to speed up the calculation and processing speed of electricity information data,a distribution network electricity information acquisition and management system based on cloud computing technology is designed.The main control module of the concentrator in the system acquisition layer uses MSP430F249 microcontroller,and the communication module uses CC2530 chip and H685 device.The cloud computing platform uses segmental aggregation approximation algorithm to reduce the dimensionality of electricity consumption information data,and uses interpolation method to deal with the missing values in the pre-processing of abnormal large data set of electricity consumption,calculates the continuous fluctuation value of user's electricity consumption slope and line loss,and establishes the identification model of abnormal electricity consumption information.The cloud computing experimental platform is set up for application testing.The experiment results show that the target error rate of this research system is 0.006%,and the shortest processing time of experimental sample data is 7.85 ms.
作者
张兴富
王满意
许冰
李斌
张蒙
Zhang Xingfu;Wang Manyi;Xu Bing;Li Bin;Zhang Meng(Xi′an Branch,Beijing China-power Information Technology Co.,Ltd.,Xi′an 710065,China)
出处
《单片机与嵌入式系统应用》
2023年第3期55-59,共5页
Microcontrollers & Embedded Systems
