摘要
文章提供了一种基于卷积神经网络的一次接线图图元识别系统的实现方法,自动识别和理解图形文件中的图元设备,为后续拓扑模型建立和设备关联自动化奠定基础。
This paper provides an implementation method of primary wiring diagram element recognition system based on convolutional neural network,which can automatically identify and understand the graphic equipment in the graphic file,which lays the foundation for the subsequent topology model establishment and Equipment Association automation.
作者
刘进峰
陈莉娟
齐玉商
Liu Jin-feng;Chen Li-juan;Qi Yu-shang
出处
《电力系统装备》
2021年第1期193-195,共3页
Electric Power System Equipment
关键词
卷积神经网络
数据增强
图元识别
convolution neural network
data enhancement
primitive recognition