山地光伏电站无人机智能巡检及故障诊断技术应用分析

Application and Analysis of Intelligent Patrol Inspection and Fault Diagnosis Technology of Unmanned Aerial Vehicle in Mountain Photovoltaic Power Station

针对山地光伏电站占地面积广阔、地势起伏、环境复杂等特点导致的光伏组件巡检效率低、故障判别精确度差等问题,充分利用无人机技术,结合物联网、大数据、图像处理、模式识别、目标定位等技术,在麻城阎家河光伏电站进行了无人机智能巡检诊断,利用无人机平台搭载可见光和热红外双光相机对光伏电站进行了可见光和热红外影像数据的采集,并对巡检数据进行智能化处理分析,实现了光伏电站智能高效巡检及故障精确定位。

Aiming at the problems of low efficiency and poor accuracy of fault diagnosis of photovoltaic modules caused by the characteristics of mountainous photovoltaic power station, such as vast area, undulating terrain and complex environment, the intelligent inspection and diagnosis of unmanned aerial vehicles (UAVs) was carried out in Yanjiahe photovoltaic power station in Macheng, taking full advantage of UAV technology, combining with Internet of Things, large data, image processing, pattern recognition and target location technology. Visible and thermal infrared image data of photovoltaic power station are collected by using visible and thermal infrared duallight cameras mounted on UAV platform, and the patrol data are processed and analyzed intelligently. The intelligent and efficient patrol inspection and accurate fault location of photovoltaic power station are realized.