摘要
目前设计的输电线路无人机激光清障系统识别清晰度较低,导致工作效率较差。为了解决上述问题,基于AI图像识别设计一种新的输电线路无人机激光清障系统。硬件设备主要包括前端的监控传感器、无人机激光器、通信装置和后台控制服务器。后台控制服务器选用支持Windows 10系统的计算机,能够支持移动网络和无线网连接,运行内存8 GB,储存内存256 GB及以上,处理芯片能够支持AI图像识别系统正常运行。根据灰度检测方法,识别定位输电线路漂浮物,依据判断结果下达相应指令实现软件操作,指导无人机进行清障作业。实验结果表明,基于AI图像识别的输电线路无人机激光清障系统能够有效提高识别准确度,提升工作效率。
At present,the design of transmission line UAV laser obstacle removal system has low recognition clarity,which leads to poor work efficiency.In order to solve the above problems,a new transmission line UAV laser obstacle removal system is designed based on AI image recognition.The hardware equipment mainly includes front⁃end monitoring sensor,UAV laser,communication device and background control server.The background control server selects the computer supporting windows 10 system,which can support the connection of mobile network and wireless network.The running memory is 8GB and the storage memory is 256GB or above.The processing chip can support the normal operation of AI image recognition system.According to the gray detection method,identify and locate the floating objects on the transmission line,and issue the corresponding instructions according to the judgment results to realize the software operation and guide the UAV to carry out the obstacle removal operation.The experimental results show that the laser obstacle removal system of transmission line UAV based on AI image recognition can effectively improve the recognition accuracy and work efficiency.
作者
赵振华
杨洋
高培
ZHAO Zhenhua;YANG Yang;GAO Pei(State Grid Baoding Power Supply Company,Baoding 071000,China)
出处
《电子设计工程》
2021年第24期179-183,共5页
Electronic Design Engineering
基金
国网河北省电力有限公司科技项目(kj2020-074)。
关键词
AI图像识别
输电线路
无人机
激光清障
清障系统
AI image recognition
power transmission line
unmanned aerial vehicle
laser barrier removal
barrier removal system
