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作 者:席佳伟 胡静 蒋浩 豆河伟 XI Jiawei;HU Jing;JIANG Hao;DOU Hewei(Yulin Electric Power Supply Company of State Grid Shaanxi Province Electric Power Company,Yulin 719000,China)
机构地区:[1]国网陕西省电力公司榆林供电公司,陕西榆林719000
出 处:《微型电脑应用》2023年第10期221-225,共5页Microcomputer Applications
摘 要:三维仿真中,由于信息交互难度大、可视化效果差,在电缆故障点的确认过程中存在F-measure值较低的问题。因此,提出基于大数据的智能电缆故障点三维仿真定位方法。利用三维仿真技术,构建智能电缆三维可视化视觉分析模型,准确提取智能电缆故障点三维特征,设计以大数据分析技术为核心的智能电缆故障点三维定位算法,与故障数据库进行信息交互,实现智能电缆故障点三维仿真定位方法设计。仿真实验结果表明,应用以大数据技术为基础的三维仿真故障定位技术后,平均F-measure值提升了29.4%、16.2%,满足信息交互与可视化的需求。In the 3-dimensional simulation environment,because of information interaction and poor visualization,there is a problem of low F-measure value in the confirmation process of intelligent cable fault point.Therefore,a 3-dimensional simulation location method of intelligent cable fault point based on big data is proposed.Using 3-dimensional simulation technology,we build a 3-dimensional visual analysis model of intelligent cable to accurately extract the 3-dimensional characteristics of intelligent cable fault points,design a 3-dimensional positioning algorithm of intelligent cable fault points based on big data analysis technology,and interact with the fault database.The design of 3-dimensional simulation and location method of intelligent cable fault point is completed.The simulation results show that after the application of 3D simulation fault location technology based on big data technology,the average F-measure values are increased by 29.4%and 16.2%,respectively,meeting the needs of information interaction and visualization.
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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