摘要
阐述基于人工智能技术的图像识别功能,能够实现对特殊情况下输电线路缺陷辨别的自学能力,从而对架空输电线路设备的本体缺陷、构架环境内部的异常状况和风险问题进行快速识别和分析。
This paper expounds the image recognition function based on artificial intelligence technology,which can achieve self-learning ability to identify transmission line defects in special situations,thereby quickly identifying and analyzing the ontology defects of overhead transmission line equipment,abnormal conditions and risk issues within the framework environment.
作者
向志威
杨大伟
景康
周建忠
胡美慧
XIANG Zhiwei;YANG Dawei;JING Kang;ZHOU Jianzhong;HU Meihui(State Grid Xinjiang Electric Power Co.,Ltd.Information and Communication Company,Xinjiang 830002,China.)
出处
《电子技术（上海）》
2023年第6期240-241,共2页
Electronic Technology
关键词
人工智能技术
图像识别
线路巡检
artificial intelligence technology
image recognition
line inspection.
