自主光伏板检测与地理标记功能使用无人机

Mahmoud Rezk, Nawal Aljasmi, Rufaidah Salim, H. Ismail, I. Nikolakakos
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引用次数: 1

摘要

根据国际可再生能源署(IRENA)的数据,预计2021年光伏(PV)产量将增长10%。光伏板安装的快速增加需要对现有太阳能园区进行强有力的检查,以保持效率和生产力水平。随着无人机技术的进步,无人驾驶飞行器(UAV)被用于检查太阳能园区,无论是手动飞行还是自主飞行。此外,还有各种图像处理方法来分析收集到的数据。然而,目前的实际应用技术并不能有效地定位太阳能发电场中存在的缺陷板。本文提出了一种使用配备实时运动学(RTK)和相机的自主无人机对大型太阳能园区进行检查的方法。该方法是一种完全自主的光伏板检测方案,能够有效地检测和定位故障。通过自动化检测,简化了检测过程,并给出了高度可靠的结果。
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Autonomous PV Panel Inspection With Geotagging Capabilities Using Drone
According to the International Renewable Energy Agency (IRENA), photovoltaic (PV) production anticipates an increase of 10% in 2021. The rapid increase in the PV panels installation requires a robust inspection method of existing solar parks to maintain efficiency and productivity levels. With advancements in drone technology, Unmanned Aerial Vehicles (UAV) are being used to inspect the solar parks, either flown manually or autonomously. Furthermore, there are various image processing approaches to analyze the data gathered. However, current practical application techniques do not effectively localize the defective panels present within the solar farm. This paper proposes a method to inspect large-scale solar parks using an autonomous drone equipped with Real-Time Kinematic (RTK) and camera. The proposed method is a fully autonomous solution for inspecting PV panels, with effective detection and localization of faults. It can ease the procedure of inspection by automating it and give highly reliable results.
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