基于边缘计算的智能配用电综合接入及状态监测技术研究

Research on Intelligent Distribution Integrated Access Technology based on Edge Computing

随着电力物联网建设发展需求的增加,人们对接入网络的广泛互联、时延性能和计算能力提出了更高的要求。针对接入终端多样性和数据量大等特点,考虑在设备采集过程中多协议适配可信传输的问题,建立基于边缘计算的设备接入与集成技术,引入差分算法和路由算法,提出基于边缘计算的差分检测方法,构建智能配用电通信综合接入设备本地数据智能化处理与业务融合模型,并将接入模型进行了应用仿真验证。该系统实现了设备和主站云平台之间的数据高效稳定传输,与远程云计算方式对比,降低了数据实时传输量,提升了时延、能耗等性能,具有分布式、低延时、高效率以及缓解流量压力等特点,相较单纯的云计算更加高效,可为智能配电综合接入及状态监测提供技术基础。

In view of the characteristics of the diversity of access terminals and the large amount of data,considering the problem of multi-protocol adaptation and trusted transmission in the equipment collection process,the equipment access and integration technology based on edge computing are established,and differential algorithms and routing algorithms are introduced.A differential detection method based on edge computing is proposed,and a model for intelligent processing and service integration of access device local data is constructed,and the access model is verified by application simulation.The system realizes efficient and stable data transmission between the device and the cloud platform of the master station.Compared with remote cloud computing,the system reduces the amount of real-time data transmission,improves performance such as delay and energy consumption,and has the characteristics of distributed,low delay,high efficiency,and alleviation of traffic pressure.Compared with pure cloud computing,the system is more efficient and can provide a technical foundation for integrated access and condition monitoring of intelligent power distribution.