基于人工智能的变电站巡检机器人研究
Research on Substation Inspection Robot Based on Artificial Intelligence
尹胜利1
作者信息
- 1. 国网江苏省电力有限公司淮安供电分公司,江苏 淮安 223001
- 折叠
摘要
为了提升变电站的安全监控和故障诊断效率,介绍了一种基于人工智能技术的变电站巡检机器人系统.该系统采用先进的YOLOv5深度学习算法实时处理摄像头采集的图像,检测并识别变电站设备的异常.此外,通过智能调度算法优化巡检路径和任务执行顺序,显著提高了巡检效率.
Abstract
In order to improve the safety monitoring and fault diagnosis efficiency of substations,a substation inspection robot system based on artificial intelligence technology is introduced.The system uses advanced YOLOv5 deep learning algorithm to process real-time images captured by cameras,detect and recognize anomalies in substation equipment.In addition,by optimizing the inspection path and task execution sequence through intelligent scheduling algorithms,the inspection efficiency has been significantly improved.
关键词
人工智能/安全监控/自动化巡检Key words
artificial intelligence/safety monitoring/automated inspection引用本文复制引用
出版年
2024
NETL
NSTL
万方数据