面向大数据流量的交互式智能电网通信

Research on Interactive Smart Grid Communication for Big Data Flow

大数据流量的轻量化通信可以防止或快速响应网络拥塞的发生,为此设计了一种基于识别模型的交互式电力特征值传输方法。这种交互式智能电网通信分为四个阶段:电流波形采样、电力特征值转换、动态电力特征值间隔选取和电气设备负载识别。当电气设备接入智能电表后,电表会将其测量的原始电力数据上传到物联网(IoT)网关。网关将原始数据转换成17个电力特征值,然后上传到云服务器并与存储的数据进行分析和预测。减轻了对智能电表计算能力的需求以及大数据传输导致的网络带宽冲突,有效降低智能电表与云计算中心之间的网络带宽消耗,从而为智能电网提供更好的服务。

Lightweight communication of big data traffic can prevent or quickly respond to network congestion.This paper designs an interactive power characteristic value transmission method based on the recognition model.The designed interactive smart grid communication is divided into four stages:current waveform sampling,power characteristic value conversion,dynamic power characteristic value interval selection and electrical equipment load recognition.When the electrical equipment is connected to the smart meter,the meter uploads the measured raw power data to the Internet of Things(IoT)gateway.The gateway converts the original data into 17 power characteristic values,which are then uploaded to the cloud server and analyzed and predicted with the stored data.It reduces the need for smart meter computing capabilities and network bandwidth conflicts caused by big data transmission,effectively reduces network bandwidth consumption between smart meters and cloud computing centers,thereby provides better services for smart grids.