Large-scale photovoltaic power station inspection device based on double cameras carried on unmanned aerial vehicle

Abstract

The invention relates to a large-scale photovoltaic power station inspection device based on double cameras carried on an unmanned aerial vehicle. The large-scale photovoltaic power station inspection device is mainly characterized in that a lightweight unmanned aerial vehicle or an unmanned system is used for performing inspection on the large-scale photovoltaic power station; and furthermore a thermal infrared imager and a visible light camera as detecting tools are mounted on the unmanned aerial vehicle for detecting a photovoltaic cell panel. An infrared image and a visible light image which are acquired by the double cameras are processed by a computer through an algorithm, thereby obtaining a conclusion whether the fault of the photovoltaic cell panel occurs. Furthermore a man-machine interaction interface is designed for displaying the image, the conclusion, etc. Compared with an existing fault monitoring method of the photovoltaic cell panel, the large-scale photovoltaic power station inspection device has advantages of improving reliability of a monitoring result, reducing manpower and physical resource, improving cost benefit, reducing work hour and realizing detection for invisible faults in the photovoltaic cell panel.

Description

technical field [0001] The present invention designs a large-scale photovoltaic power station inspection device based on drone-mounted dual cameras, especially develops and implements a large-scale photovoltaic power station inspection device based on drone-mounted dual cameras. Background technique [0002] Energy is the material basis of human society and economic development, and a prerequisite for improving people's living standards. However, fossil energy, which dominates the world's energy structure, is becoming increasingly scarce, and the energy crisis has become increasingly prominent and unavoidable. According to the annual statistics of the world energy market in the "BP World Energy Statistical Yearbook (2014 Edition)", the growth of global primary energy consumption is 2.3%. In the global energy consumption, oil accounts for 32.9% and coal accounts for 30.1% %, natural gas consumption accounted for 23.7%, the record high decline was nuclear power generation fell...

AI Technical Summary

Problems solved by technology

Although the above-mentioned diagnostic methods can detect the faults of the photovoltaic system to a certain extent, there are still some shortcomings, such as: based on the mathematical model method, the model is difficult to establish, and the limitations are large; the intelligent detection method depends on prior knowledge; the infrared image-based The analysis method is greatly disturbed by the environment; the method based on the monitoring system is only suitable for large-scale photovoltaic systems, the cost is high, and the internal faults of the system cannot be detected

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