Research and Application of Photovoltaic Power Station On-line Hot Spot Detection Operation and Maintenance System Based on Unmanned Aerial Vehicle Infrared and Visible Light Detection

2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) Pub Date : 2021-07-18 DOI:10.1109/ICPSAsia52756.2021.9621375

Guanglei Li, Yuejiao Wang, Zheng Xu, Wei-Hua Teng, Xingyou Zhang

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引用次数: 5

Abstract

The traditional operation and maintenance method of hot spot detection has some problems, such as low efficiency of inspection, difficult to identify the cause of hot spot under the influence of multiple factors. In this paper, based on the Unmanned Aerial Vehicle(UAV) inspection technology, combined with the slope constraint based infrared image and visible image registration method of hot spot location and based on the improved fish swarm gray combination prediction method, the hot spot information discrimination process was designed. On this basis, an on-line hot spot detection operation and maintenance system of photovoltaic power station(PVPS) based on UAV infrared and visible light detection was constructed, and the accuracy of hot spot detection results of the system was verified by experiments. The system has high accuracy of hot spot location, can actively screen out the external influencing factors of photovoltaic module hot spot, and realize automatic alarm and location investigation of complex hot spot.

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基于无人机红外与可见光检测的光伏电站在线热点检测运维系统研究与应用

传统的运维热点检测方法在多种因素的影响下存在检测效率低、热点原因难以识别等问题。本文基于无人机(UAV)检测技术，结合基于斜率约束的红外图像和可见光图像热点定位配准方法，基于改进的鱼群灰度组合预测方法，设计了热点信息识别过程。在此基础上，构建了基于无人机红外和可见光检测的光伏电站在线热点检测运维系统，并通过实验验证了系统热点检测结果的准确性。该系统热点定位精度高，能主动筛选出光伏组件热点的外部影响因素，实现复杂热点的自动报警和定位调查。

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2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

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