基于云-边-端协同的电力物联网用户侧数据应用框架

物联网技术渗透到电力系统所形成的电力物联网承载着海量数据流，通过电力业务数据化和电力网络信息化，促进电力数据业务化目标的实现。目前电网基于云计算的集中式数据存储与处理，使得海量细粒度的用户侧数据无法得到有效应用。基于此，文章提出了基于云-边-端协同的用户侧数据应用框架，以打破由于计算资源有限而导致用户侧与电力系统的交互壁垒。利用边缘计算与云计算的互补性，以预测预警、分类聚类和需求响应3类用户侧基础数据应用为例，设计了用户侧数据应用框架，以期实现自下而上和自上而下的双向数据流、业务流的协同循环，从而达到对用户侧数据进行广而深的价值挖掘的目标。最后，从物理层、平台层和业务层3个维度对实现该框架的关键技术进行了分析与总结。

User-Side Data Application Framework Based on Cloud-Edge-User Collaboration in Power Internet of Things

Power Internet of Things, which is formed by the application of Internet of Things technology to power system, undertakes the massive data streams of power system. It can promote to realize power data business through power business data and power network informationization. Nowadays, massive and fine-grained user-side data cannot be effectively applied because of the centralized data storage and processing methods based on cloud computing in power grid. In order to break the interaction barrier between the user end and the power system due to the limited computing resources, this paper proposes a user-side data application framework based on cloud-edge-user collaboration. Taking three kinds of user-side essential data applications as examples, i.e., prediction and early warning, classification and clustering, and demand response, the framework is designed according to the complementarity between edge computing and cloud computing. It aims to achieve the collaborative cycle of the bottom-top and top-bottom two-way data flow and business flow, so as to mine the value of user-side data widely and deeply. Finally, this paper analyzes and summarizes the key technologies of the framework from three aspects which are physical layer, platform layer and business layer.