面向电力物联网的云边数据协同方法

Cloud-Edge Data Collaboration Method for Power IoTs

随着物联网与通信技术的发展,电力物联网数据呈现海量异构的特点。针对目前云计算架构下电力物联网数据处理存在时延大、云计算压力大等问题,文章提出基于云边协同的数据处理方法。首先通过数据标准化描述、集成与融合等预处理步骤,解决数据多源异构、冗余度高等问题;然后针对数据处理提出了基于容器化技术的云边协同方法,将数据处理划分为多个微服务部署到边缘层,达到缓解云计算压力的目的。

With the development of IoTs and communication technologies,the power IoTs data presents the characteristics of massive heterogeneity.Aiming at the problems of large delays and heavy cloud computing pressure in the current cloud computing architecture,this paper puts forward a data pre-processing method based on cloud-edge collaboration.Firstly,the problem of multi-source heterogeneous data and high redundancy is solved through the pre-processing steps of data through standardized description,data integration and fusion,data label management,etc.Further,a container-based cloud-edge collaboration method is proposed for data application,which is divided into multiple micro-services and deployed to the edge layer to achieve the purpose of alleviating the pressure of cloud computing.