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作 者:李芙蓉 易映萍 石伟 LI Fu-rong;YI Ying-ping;SHI Wei(School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Xu Ji Power Co.,Ltd.,Xuchang 461000,China)
机构地区:[1]上海理工大学机械工程学院,上海200093 [2]许继电源有限公司,河南许昌461000
出 处:《软件导刊》2021年第8期160-165,共6页Software Guide
基 金:国家电网科技资助项目(SGHA0000KXJS1800892)。
摘 要:针对海量异构配电数据带来的云端通信和存储拥堵、计算延迟等问题,提出一种基于边缘计算的主动配电网层次架构模型。首先提出基于工业互联网功能架构的边缘计算框架,具体梳理出边缘计算节点数据内部、外部交互方式,根据建立的数据交互方式提出云边协同的交互处理机制;然后根据主动配电网的逻辑协议和物理架构,建立基于边缘计算的主动配电网层次架构模型,实现对配电设备的运行状态、投运环境、电气量数据的采集、交互和监测;最后基于大数据技术对边缘计算技术在实际配电的典型应用场景进行分析,验证了基于边缘计算的配电大数据系统对本地数据存储及处理的高效性、实时性、安全性和准确性。Aiming at the problems of cloud communication and storage congestion and calculation delay caused by massive heterogeneous distribution data,a hierarchical architecture model of active distribution network based on edge computing is proposed.First,an edge computing framework based on the functional architecture of the industrial Internet is proposed,and the internal and external interaction methods of edge computing node data are specifically sorted out.Based on the established data interaction methods,a cloud-side collaborative interaction processing mechanism is proposed.Then according to the logic protocol of the active distribution network and physical architecture,this essay establish a hierarchical architecture model of the active distribution network based on edge computing,and realize the collection,interaction and monitoring of the operating status,commissioning environment,and electrical quantity data of power distribution equipment;finally,the analysis is based on big data technology.The edge computing technology is analyzed in the typical application scenarios of actual power distribution,and it verifies the efficiency,real-time,safety and accuracy of the local data storage and processing of the power distribution big data system based on edge computing.
关 键 词:边缘计算 云边协同 数据交互 主动配电网 信息物理系统 配电大数据 工业物联网
分 类 号:TP392[自动化与计算机技术—计算机应用技术]
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