一种基于机载AI模块的多旋翼无人机的电力巡检报告生成方法

一种基于机载AI模块的多旋翼无人机的电力巡检报告生成方法
1 摘要
无人机在输电线路巡检通常采用无人机进行巡检的方式进行，通过无人机按照一定的航线飞行，在预设的点位拍摄获取电力器件的照片然后上传到服务器的算法平台进行电力器件缺陷的发现然后人工或者服务器生成巡检报告，目前存在耗时周期长，巡检结果反馈不及时以及一线工作人员工作量大等问题。同时随着计算机科学的蓬勃发展，人工智能算法和相关硬件使得无人机可以拥有更强大的大脑。本文对目前输电线路运用无人机在输电线路巡检过程中的电力器件和缺陷识别以及巡检报告的生成做了概况和介绍，并且介绍了利用机载AI模块进行实时器件和缺陷识别以及生成巡检报告工程创新实现进行了描述。
关键词：机载AI；电力器件和缺陷识别；巡检报告
The method for generating electric patrol inspection report based on multi-rotor UAV carried AI module
Abstract: UAV inspections on transmission lines are usually carried out by UAVs. The UAVs fly according to certain routes, take photos of power devices at preset points, and upload them to the algorithm platform of the server. The discovery of power device defects and then manually or the server to generate inspection reports, there are currently long time-consuming cycle, inspection results are not timely feedback and the workload of front-line workers and other issues. At the same time, with the vigorous development of computer science, artificial intelligence algorithms and related hardware enable drones to have a more powerful brain. This paper gives an overview and introduction to the identification of power devices and defects and the generation of inspection reports during the current inspection of transmission lines using UAVs on transmission lines, and introduces the use of onboard AI modules for real-time device and defect identification and generation The inspection report describes the innovative implementation of the project.
Keyword: UAV carried AI module;Power device and defect identification; patrol report
2 引言