摘要
电力物联网用户侧负荷数据维度较大,导致数据匹配延时时间过长,为了解决上述问题,基于动态R-树实现电力物联网用户侧负荷数据动态匹配。建立负荷计算模型,分析负荷历史运行信息,实现数据检测。通过归一化函数完成归一化处理,提取动态特征,构建动态R-树,确定匹配机制,根据矩阵计算函数完成压缩处理,利用动态匹配算法更新集对R-树内部结构进一步加以修改,在清除矩形之前,利用叶结点的Hash索引得到R-树匹配矩阵,使用Hash搜索准确地找到目标矩形,增强分布与交互仿真中的实时性,实现用户侧负荷数据动态匹配。实验结果表明,研究的动态R-树匹配方法在数据插入、数据匹配、数据维护过程中的延时时间低于48ms,实时性较好。
The dimension of load data on the user side of the power Internet of things is large,which leads to a long data matching delay time.In order to solve the above problems,dynamic matching of the load data on the power Internet of things user side is realized based on the dynamic R-tree.Build a load calculation model,analyze the load history operation information,and realize data detection.Complete the normalization processing through the normalization function,extract the dynamic features,construct the dynamic R-tree,determine the matching mechanism,complete the compression processing according to the matrix calculation function,and further modify the internal structure of the R-tree by using the dynamic matching algorithm update set.Before the rectangle,the Hash index of the leaf node is used to obtain the R-tree matching matrix,and the Hash search is used to accurately find the target rectangle,which enhances the real-time performance of distribution and interactive simulation,and realizes the dynamic matching of user-side load data.The experimental results show that the researched dynamic R-tree matching method has a delay time of less than 48 ms in the process of data insertion,data matching and data maintenance,and has good real-time performance.
作者
胡为民
杜丰夷
邓辉
闫超
刘晓峻
HU Weimin;DU Fengyi;DENG Hui;YAN Chao;LIU Xiaojun(Yichang Power Supply Company,State Grid Hubei Electric Power Co.,Ltd.,Wuhan 443000,China)
出处
《电子设计工程》
2024年第7期106-109,114,共5页
Electronic Design Engineering
