摘要
我国的电力系统发展使得电网规模越来越大、结构越来越密集。为了提高电力系统的稳定性,提前检测电力设备状态是防止电力系统发生故障的重要环节。视觉信息是基于图像识别技术的电力设备检测技术中最核心的部分,利用视觉信息,可以在线检测电力设备故障,不影响电力设备的正常运行。该方法简单、可靠,能快速检测设备故障,从而确保电力设备安全稳定运行。
With the development of power system in our country,the scale of power system is becoming larger and larger and its configuration is gathering to a coarctation.In order to improve the stability of power system,it is the most core part to detect the state of power equipment in advance.Visual information is the most important part of the power equipment detection technology based on image recognition technology.It can detect the fault of power equipment online by using visual information,and does not affect the normal operation of power equipment.The method is simple and reliable,and can quickly detect equipment malfunction,so as to ensure the safe and stable operation of power equipment.
作者
陈洋
Chen Yang(School of Electrical Engineering and Electronic Information, Xihua University, Chengdu Sichuan, 610039, China)
出处
《科技创新导报》
2017年第15期79-79,81,共2页
Science and Technology Innovation Herald
关键词
视觉信息
电力设备检测
图像识别
Visual information
Power equipment detection
Image recognition
