摘要
本文介绍了智能变电站自动监控系统应用背景和国内外图像识别技术、目标区域跟踪等技术研究水平的现状和国内外发展趋势;提出了学习算法的实现过程;并对变电站内鸟巢智能识别相关软件进行了分析。
This paper introduces the application background of the intelligent substation automatic monitoring system, the status of the technology research level of image recognition technology at home and abroad, target area tracking technology and the development trend at home and abroad, and puts forward the realization process of the learning algorithm, and analyses the related software of the bird nest intelligent recognition in the substation.
作者
陈小龙
Chen Xiaolong(Guangzhou Power Supply Bureau Co.,Ltd.,Guangzhou Guangdong,510000)
出处
《电子测试》
2018年第16期48-49,51,共3页
Electronic Test
关键词
智能变电站
图像识别技术
深度学习算法
鸟巢智能识别
Smart Substation
image recognition technology
deep learning algorithm
nest intelligent recognition