摘要
为解决传统低压配电网多源数据处理方法中存在的处理效率低、数据融合效果差等问题,提出基于边缘计算的低压配电网多源数据处理与融合技术研究。利用数据多功能收集方式对初始数据进行收集,并对收集的数据进行预处理,获得相应过滤数据信息;结合融合算法与特征匹配方法对数据进行处理与融合,实现对低压配电网多源数据处理与融合技术的研究。实验结果表明,所提方法对低压配电网多源数据处理的效率较高,数据融合效果较好,符合多元数据处理与融合需求。
In order to solve the problems of low processing efficiency and poor data fusion in traditional multi-source data processing methods of low-voltage distribution network,the edge computing based multi-source data processing and fusion technology is proposed.The multi-functional data collection method is used to collect the initial data and preprocess the collected data to obtain the corresponding filtered data information.The data is processed and fused by combining the fusion algorithm and feature matching method to realize the research on the multi-source data processing and fusion technology of low-voltage distribution network.The experimental results show that the proposed technology has high efficiency in multi-source data processing of low-voltage distribution network,good data fusion effect,and meets the needs of multi-source data processing and fusion.
作者
王成亮
官国飞
黄斌
徐妍
宋庆武
WANG Chengliang;GUAN Guofei;HUANG Bin;XU Yan;SONG Qingwu(Jiangsu Frontier Electric Power Technology Co.,Ltd.,Nanjing 211100,China;Jiangsu Hoperun Zhirong Technology Co.,Ltd.,Nanjing 210012,China)
出处
《电子设计工程》
2021年第4期172-176,共5页
Electronic Design Engineering
基金
江苏方天电力技术有限公司研发基金项目(YF201905)
浙江省软科学一般项目(2017C35068)。
关键词
边缘计算
低压配电网多源数据
融合算法
特征匹配
edge computing
multi-source data of low-voltage distribution network
fusion algorithm
feature matching
