Long-range image and close-range image combined photovoltaic module positioning and matching method

Abstract

The invention discloses a long-range and close-range image combined photovoltaic module positioning and matching method. The method comprises the following steps: establishing a three-dimensional model of a photovoltaic power station; shooting a long-range image and a close-range image; identifying a photovoltaic module in the long-range image, and selecting feature points; calculating the position information of the feature points according to the GPS information and the camera attitude information of the shooting points and the three-dimensional model of the photovoltaic power station; correcting the position information of the shooting point according to the position information of the feature point; matching corresponding areas of the close-range image and the long-range image; detecting an abnormal photovoltaic module in the close-range image, and carrying out positioning and matching in a three-dimensional model of the photovoltaic power station. According to the method, the photovoltaic module distribution information of the long-range images and the photovoltaic module local information of the close-range images are fully combined, positioning and matching of the photovoltaic modules are effectively achieved, and the method can be used for shooting and inspection of the unmanned aerial vehicle of the photovoltaic power station.

Description

technical field [0001] The invention relates to a photovoltaic module positioning and matching method combining long-range and close-range images, and belongs to the technical field of photovoltaic power station inspection and intelligent operation and maintenance. Background technique [0002] During the operation of photovoltaic modules, faults or abnormal conditions may occur, which not only affect the power generation efficiency, but also pose certain safety hazards. Therefore, how to detect faults or abnormal photovoltaic modules in a photovoltaic power station in a timely manner is of great significance for improving the power generation capacity and power generation safety of the photovoltaic power station. [0003] With the development of drone inspections and intelligent robot inspections, it has become a feasible way to further locate faults or abnormal photovoltaic modules in photovoltaic power plants by taking images. Specifically, the actual position informatio...

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Problems solved by technology

[0004] Due to the existence of certain errors in GPS positioning, the accuracy of the positioning of photovoltaic modules in the above-mentioned prior art needs to be improved

In addition, there is a problem with the selection of the shooting distance in the existing technology: the images taken from a long distance can present the overall information of the photovoltaic power plant (such as the distribution of photovoltaic modules), but it is difficult to display sufficient local information (such as whether there is a fault or abnormality in the photovoltaic modules) ; The images taken at close range can display the local information of photovoltaic modules, but it is difficult to fully present the distribution information of photovoltaic modules

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