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作 者:黄翔 林圳杰 陈力林 赵磊 孙宇宁 HUANG Xiang;LIN Zhenje;CHEN Lilin;ZHAO Lei;SUN Yuning(Southern Power Grid Digital Platform Technology(Guangdong)Co.,Ltd;Guangdong Provincial Key Laboratory of Digital Grid Technology Enterprises(Southern Power Grid Digital Grid Research Institute),Shenzhen,Guangzhou 518000)
机构地区:[1]南方电网数字平台科技(广东)有限公司 [2]广东省数字电网技术企业重点实验室(南方电网数字电网研究院),广东深圳518000
出 处:《长江信息通信》2023年第12期97-99,共3页Changjiang Information & Communications
摘 要:常规数字电网通信数据分流方法在分流时易发生数据丢失,分流精准度低的现象,提出基于边缘计算的数字电网通信数据分流方法。基于边缘计算来制定数据分流单元的结构,分析边缘技术的原理。通过引入数字电网所覆盖的范围C和用户接入网络数据单元密度p确定数字电网用户相遇形式,在特殊情况下需在SAGLA算法中考虑到订阅用户与发布用户相对位置关系。在确定用户相互相遇模式后,为保证在数字电网通信数据分流时数据完好未发生数据丢失等情况,构建数字电网通信数据分流模型,最后建立初始化函数实现数据精准分流。为验证基于边缘计算的数字电网通信数据分流方法具有优势,将基于边缘计算的数字电网通信数据分流方法与其他两种方法进行对比,结果证明基于边缘计算的数字电网通信数据分流方法更具有优势。Conventional digital grid communication data diversion methods are prone to data loss and low diversion accuracy.A digital grid communication data diversion method based on edge computing is proposed.Based on edge computing,the structure of data diversion unit is formulated,and the principle of edge technology is analyzed.By introducing the coverage range C of the digital power grid and the density of user access network data units p To determine the form of user encounter in the digital power grid,in special cases,the relative position relationship between subscription users and publishing users needs to be considered in the SAGLA algorithm.After determining the user encounter mode,in order to ensure that the d ata is intact and no data loss occurs during the digital power grid communication data diversion,a digital power grid communication data diversion model is constructed.Finally,an initialization function is established to achieve accurate data diversion.In order to verify the advantages of the digital grid communication data diversion method based on edge computing,the digital grid communication data diversion method based on edge computing is compared with the other two methods,and the results show that the digital grid communication data diversion method based on edge computing has more advantages.
分 类 号:G642[文化科学—高等教育学]
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