摘要
提出了一种融合云计算技术的电力设备智能监测系统;为准确识别电力设备状态,根据建立的目标特征库缩小捕获图像的搜索范围,并基于视觉注意网络进行目标检测;仿真分析表明系统能够快速且准确地识别监测目标.
A power equipment intelligent monitoring system based on cloud computing technology is proposed.In order to accurately identify the state of power equipment,the search range of captured images is reduced according to the established target feature library,and target detection is carried out based on visual attention network.Simulation analysis shows that the system can quickly and accurately identify monitoring targets.
作者
钟建栩
余少锋
廖崇阳
马一宁
ZHONG Jian-xu;YU Shao-feng;LIAO Chong-yang;MA Yi-ning(Information and Communication Branch,China Southern Power Grid Peak and Frequency Modulation Power Generation Co.,Ltd.,Guangzhou 510000,China)
出处
《云南师范大学学报（自然科学版）》
2022年第3期37-41,共5页
Journal of Yunnan Normal University:Natural Sciences Edition
基金
南方电网调峰调频发电有限公司科技资助项目(STKJXM20180065).
关键词
电力监控
分布式
云计算
视觉注意网络
Power monitoring
Cloud computing
Visual attention network
