基于5G+云边AI协同的无人机输电线路巡检应用研究
投稿时间:2024-03-05  修订日期:2024-05-06  点此下载全文
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作者单位邮编
严尔梅* 贵州电网有限责任公司 550002
刘博迪 贵州电网有限责任公司 
时磊 贵州电网有限责任公司 
顾泽 贵州电网有限责任公司 
邓凯锋 贵州电网有限责任公司 
吴姗 中国电建集团贵州电力设计研究院有限公司 
基金项目:中国南方电网公司科技项目(“067500KK52210004”)
中文摘要:无人机结合数字化技术对输电线路进行巡检是电网安全保障和提质增效的重要应用研究方向,当前的巡检模式存在网络环境不佳、数据传输能力不足、云边AI未结合巡检业务进行有效协同等问题,导致无人机巡检模式未能实现规模性应用推广。文章提出了基于5G+云边AI协同的无人机输电线路巡检方法,从架构设计、关键技术等方面展开研究,并系统性介绍了5G网联无人机、云边AI协同、5G融合AI等先进技术解决思路。应用成效表明,文章研究成果有效提高了数据传输和智能分析能力,提升了作业效率和缺陷识别率,进一步提高了电网和线路的安全稳定运行水平。
中文关键词:输电线路巡检  5G切片  5G网联无人机  云边AI协同  边缘AI  
 
Research on UAV transmission line inspection based on 5G+Cloudside AI collaboration
Abstract:The combination of drones and digital technology for power transmission line inspection is an important application research direction to ensure power grid security and improve quality and efficiency. The current inspection mode suffers from problems such as a poor network environment, insufficient data transmission capacity, and ineffective cooperation between cloud edge AI and inspection operations, which has prevented the large-scale application and promotion of the drone inspection mode. This paper proposes an unmanned aerial vehicle (UAV) transmission line inspection method based on 5G+cloud edge AI collaboration, covers research from architecture design to key technologies, and systematically introduces advanced technology solutions such as 5G networked UAV, cloud edge AI collaboration, and 5G fusion AI. The application results show that the research results of the article have effectively improved data transmission and intelligent analysis capabilities, increased work efficiency and defect detection rates, and further improved the safe and stable operation level of the power grid and transmission lines.
keywords:Transmission line inspection  5G slicing  5G connected drones  Cloud edge AI collaboration  Edge AI  
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