摘要
针对变电站通信设备三维仿真中存在的场景真实性差、通信设备状态预测难度大的问题,提出一种基于SURF特征检测的变电站通信设备三维仿真方法。通过视频监控提取变电站通信设备不同角度的图像;通过SURF特征检测算法从多时间尺度分析变电站通信设备的特征,自动构建变电站通信设备三维识别体系;对变电站通信设备进行三维建模、三维图像拼接和颜色校准。在此基础上,将变电站通信设备三维模型与通信网管数据融合,实现变电站通信设备三维仿真,并进行设备状态趋势预测。将本方法应用在某500 kV变电站中,其结果验证了本方法的有效性和可行性。
Aiming at the problems of poor scene authenticity and difficult state prediction of communication equipment in 3D simulation of substation communication equipment,a 3D simulation method of substation communication equipment based on SURF feature detection is proposed.Extract images of substation communication equipment from different angles through video surveillance.Through SURF feature detection algorithm,the characteristics of substation communication equipment are analyzed from multiple time scales,and the 3D recognition system of substation communication equipment is constructed automatically,3D modeling of substation communication equipment is carried out,and 3D image mosaic and color calibration of substation communication equipment are carried out.On this basis,the 3D model of substation communication equipment is fused with the data of communication network management to realize the 3D simulation of substation communication equipment and predict the status trend of equipment.The method is applied to a 500 kV substation,and the results verify the effectiveness and feasibility of the method.
作者
陈莉佳
王彦鹏
袁昕
CHEN Lijia;WANG Yanpeng;YUAN Xin(Economic and Technical Research Institute of Xinjiang Electric Power Co.,Ltd.,Urumqi 830002,China)
出处
《微型电脑应用》
2022年第10期127-129,141,共4页
Microcomputer Applications
关键词
变电站
通信设备
图像特征检测
三维仿真
substation
communication equipment
image feature detection
3D simulation
