东北电力技术2025，Vol.46Issue(7)：18-22,5.
集成智能AI的无人机巡检任务规划算法
Planning Algorithm of Integrated Intelligent AI for UAV Inspection Task
陈守阔 1陈景豪 1田宇翔 1詹勋淞 1李伟1
作者信息
- 1. 广东电网有限责任公司广州增城供电局,广东 广州 511300
- 折叠
摘要
Abstract
The unmanned aerial vehicle(UAV)needs to perceive and understand complex and change environments in real time,in-cluding weather conditions,terrain,obstacles,etc.It is difficult to plan comprehensive and efficient paths in dynamic environments.Therefore,a research proposes an integrated intelligent AI for UAV inspection task planning algorithm.Firstly,it enhances the image of the electric UAV inspection,and based on this,it corrects the intelligent AI vision collected during the inspection.Using this as input,combine the UAV and intelligent AI to design the process for UAV inspection task planning algorithm.Finally,the experimen-tal results demonstrate that the inspection images corrected by the research algorithm have higher clarity and can completely filter out noise.Under this algorithm,the inspection coverage of UAVs is wider,with good planning effect on inspection tasks.关键词
集成智能AI/无人机/巡检任务/规划算法Key words
integrated intelligent AI/UAV/inspection tasks/planning algorithm分类
信息技术与安全科学引用本文复制引用
陈守阔,陈景豪,田宇翔,詹勋淞,李伟..集成智能AI的无人机巡检任务规划算法[J].东北电力技术,2025,46(7):18-22,5.
