基于激光雷达-视频联控的变电站空域异物入侵检测系统  

Airborne Foreign Object Intrusion Detection System in Substation Based on Lidar Video Joint Control

作　　者：许彬 XU Bin(State Grid Fujian Electric Power Co.,Ltd.,Ultrahigh Voltage Branch,Fuzhou 350000 China)

机构地区：[1]国网福建省电力有限公司超高压分公司,福建福州350000

出　　处：《自动化技术与应用》2025年第3期142-145,150,共5页Techniques of Automation and Applications

基　　金：福建省电力有限公司科技项目(SGFJJX00XMJS1900288)。

摘　　要：空域漂浮物入侵变电站,搭接或缠绕在电力线路或设备上,可能引起线路或设备短路故障,是影响变电站稳定运行的棘手问题之一。人工巡检、视频系统及雷达监测等常规漂浮入侵物检测方法都存在一定的局限性。为及时排除变电站漂浮入侵物的隐患,设计并研制基于激光雷达-视频联控的变电站空域漂浮异物监控系统。该系统可有效结合视频监控系统和雷达监控系统的优点,通过激光雷达系统的入侵物位置判别和摄像头的定点图像获取,完成变电站周界空域漂浮异物的全天时全天候监测。该方法不仅可降低大量的人力巡检成本,同时还能对入侵物的形貌特征进行抓取,对入侵物的危险程度进行初步判别,方便工作人员及时查证与清理,保障变电站乃至整个电力系统的安全稳定运行。It is one of the difficult problems affecting the stable operation of substation that the airspace floating objects invade the substation which lap or wrap around the power lines or equipment.It may cause short-circuit fault of electric power lines or equipment.The methods of conventional floating objects intrusion detection such as manual inspection,video system and radar monitoring all have limitations.In order to eliminate the hidden danger of floating intrusions in substations in time,this paper designs and develops the airborne foreign object intrusion detection system in substation based on lidar video joint control.The system can effectively combine the advantages of video surveillance system and radar monitoring system.Through the lidar system of position identification of intrusions and the camera of fixed point image acquisition,the all-day all-weather monitoring of floating foreign bodies in the airspace around the substation is completed.This method can not only liberate a large number of manpower inspection costs,but also grasp the morphological characteristics of intrusions and make a preliminary judgment of risk degree of intrusions.So as to facilitate the staff to timely verify and clean up,and ensure the safe and stable operation of the substation and even the whole power system.

关 键 词：变电站 异物入侵 激光雷达 视频联动 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] TP391.44[自动化与计算机技术—控制科学与工程]