摘要
针对智能电力计量系统在应用过程中存在数据采集滞后、数据管理能力差的问题,提出了基于物联网技术的智能电力计量系统,该系统融入了基于无限深度神经网络模型的大数据处理算法,通过深度挖掘的数学算法实现电力计量数据的分析,同时也实现了电力计量数据的采集、传递,提高了电力计量数据自动化、智能高效管理的水平。
Aiming at the problems of data collection lag and poor data management ability in the application process of smart power metering system,a intelligent power metering system based on Internet of Things technology is proposed.The system incorporates a big data processing algorithm based on an infinite deep neural network model,and realizes the analysis of power metering data through deep mining mathematical algorithms,and also realizes the collection and transmission of power metering data,which improves the level of automation amd intelligent and efficient management of power metering data.
作者
丁浩
杨楠
Ding Hao;Yang Nan(State Grid Ningxia Electric Power Co.Ltd.Yinchuan Power Supply Company,Yinchuan 750000,Ningxia Hui Autonomous Region,China)
出处
《科学与信息化》
2022年第20期43-45,共3页
Technology and Information
关键词
物联网
技术
智能电力
计量系统
分析
internet of things
technology
intelligent power
metering systems
analysis
