无公网信号区域全景滑车智能识别与监控系统技术研究
Research on Intelligent Recognition and Monitoring System of Panoramic Block in Non-Public Network Signal Area
魏安鹰 1王涛1
作者信息
- 1. 华东送变电工程有限公司,上海 201803
- 折叠
摘要
针对野外无人区和无信号覆盖区域的输电线路架空线放线作业,为解决这些极端条件下实时监控的难题,探索如何使放线作业人员在没有网络通信信号的野外无人区仍能实时获取监控视频,以提升输电线路架空线放线作业的操作规范性和精确性,从而确保输电线路作业中的潜在风险和缺陷能够得到有效识别和控制.
Abstract
This paper aims at the overhead line payout operation of transmission lines in uninhabited areas and areas without signal coverage,and solves the problem that it is difficult to realize real-time monitoring under these conditions.This paper studies how pay-off operators can obtain real-time surveillance video in the field without network communication signals,so as to improve the operation standardization and accuracy of transmission line overhead pay-off operation,so as to ensure that the potential risks and defects in transmission line operation can be effectively controlled.
关键词
YOLOv5/走板检测/目标识别/无线传输/深度学习Key words
YOLOv5/walking board inspection/target recognition/wireless transmission/deep learning引用本文复制引用
基金项目
国网上海电力公司科技项目(520900220016)
出版年
2024
NETL
NSTL
万方数据